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  title={Equivariant Adaptation of Large Pretrained Models},
  author={Mondal, Arnab Kumar and Panigrahi, Siba Smarak and Kaba, S{\'e}kou-Oumar and Rajeswar, Sai and Ravanbakhsh, Siamak},
  booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
  year={2023},
  url_pdf = {https://arxiv.org/abs/2310.01647}
}



@inproceedings{akhound2023lieneurips,
  title={Lie Point Symmetry and Physics Informed Networks},
  author={Akhound-Sadegh, Tara and Perreault-Levasseur, Laurence and Brandstetter, Johannes and Welling, Max and Ravanbakhsh, Siamak},
  booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
  year={2023},
  url_pdf = {https://arxiv.org/abs/2311.04293}
}



@InProceedings{pmlr-v202-kaba23a,
  title = 	 {Equivariance with Learned Canonicalization Functions},
  author =       {Kaba, S\'{e}kou-Oumar and Mondal, Arnab Kumar and Zhang, Yan and Bengio, Yoshua and Ravanbakhsh, Siamak},
  booktitle = 	 {Proceedings of the 40th International Conference on Machine Learning},
  pages = 	 {15546--15566},
  year = 	 {2023},
  editor = 	 {Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan},
  volume = 	 {202},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {23--29 Jul},
  publisher =    {PMLR},
  url_pdf = 	 {https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf},
  url = 	 {https://proceedings.mlr.press/v202/kaba23a.html},
}



@inproceedings{NEURIPS2022_dcd29769,
 author = {Shakerinava, Mehran and Mondal, Arnab Kumar and Ravanbakhsh, Siamak},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {34162--34174},
 publisher = {Curran Associates, Inc.},
 title = {Structuring Representations Using Group Invariants},
 url_pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf},
 volume = {35},
 year = {2022}
}




@inproceedings{NEURIPS2022_1abed6ee,
 author = {Kaba, Oumar and Ravanbakhsh, Siamak},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {4150--4164},
 publisher = {Curran Associates, Inc.},
 title = {Equivariant Networks for Crystal Structures},
 url_pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf},
 volume = {35},
 year = {2022}
}




@inproceedings{mondal2022eqr,
  title={EqR: Equivariant Representations for Data-Efficient Reinforcement Learning},
  author={Mondal, Arnab Kumar and Jain, Vineet and Siddiqi, Kaleem and Ravanbakhsh, Siamak},
  booktitle={International Conference on Machine Learning},
  pages={15908--15926},
  year={2022},
  organization={PMLR},
  url_pdf = {https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf},
  url_code = {https://github.com/arnab39/Symmetry-RL}
}



@inproceedings{shakerinava2022utility,
  title={Utility Theory for Sequential Decision Making},
  author={Shakerinava, Mehran and Ravanbakhsh, Siamak},
  booktitle={International Conference on Machine Learning},
  pages={19616--19625},
  year={2022},
  organization={PMLR},
  url_pdf = {https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf},
}



@InProceedings{pmlr-v162-morris22a,
  title = 	 {{S}peq{N}ets: Sparsity-aware permutation-equivariant graph networks},
  author =       {Morris, Christopher and Rattan, Gaurav and Kiefer, Sandra and Ravanbakhsh, Siamak},
  booktitle = 	 {Proceedings of the 39th International Conference on Machine Learning},
  pages = 	 {16017--16042},
  year = 	 {2022},
  editor = 	 {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
  volume = 	 {162},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {17--23 Jul},
  publisher =    {PMLR},
  url_pdf = 	 {https://proceedings.mlr.press/v162/morris22a/morris22a.pdf},
}



@InProceedings{pmlr-v139-shakerinava21a,
  title = 	 {Equivariant Networks for Pixelized Spheres},
  author =       {Shakerinava, Mehran and Ravanbakhsh, Siamak},
  booktitle = 	 {Proceedings of the 38th International Conference on Machine Learning},
  pages = 	 {9477--9488},
  year = 	 {2021},
  editor = 	 {Meila, Marina and Zhang, Tong},
  volume = 	 {139},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {18--24 Jul},
  publisher =    {PMLR},
  url_pdf = {http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf},
  url_code =  {https://github.com/mshakerinava/Equivariant-Networks-for-Pixelized-Spheres},
}



@inproceedings{wang2020equivariant,
 author = {Wang, Renhao and Albooyeh, Marjan and Ravanbakhsh, Siamak},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},
 pages = {13806--13817},
 publisher = {Curran Associates, Inc.},
 title = {Equivariant Networks for Hierarchical Structures},
 url_pdf = {https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf},
 url_arXiv = {http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf},
 url_code={https://github.com/rw435/wreathProdNet},
 volume = {33},
 year = {2020}
}


 

@InProceedings{pmlr-v119-ravanbakhsh20a, 
 title = {Universal Equivariant Multilayer Perceptrons}, 
 author = {Ravanbakhsh, Siamak}, 
 booktitle = {Proceedings of the 37th International Conference on Machine Learning}, 
 pages = {7996--8006}, year = {2020}, 
 editor = {Hal Daumé III and Aarti Singh}, 
 volume = {119}, series = {Proceedings of Machine Learning Research}, 
 address = {Virtual}, 
 month = {13--18 Jul}, 
 publisher = {PMLR}, 
 url_pdf = {http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf},
} 



@article{graham2020deep,
  title={Equivariant Entity-Relationship Networks},
  author={Graham, Devon and  Wang, Junhao and Ravanbakhsh, Siamak},
  journal={arXiv preprint arXiv:1903.09033},
  url_arxiv = {https://arxiv.org/abs/1903.09033},
  url_code = {https://github.com/drgrhm/exch_model},
  year={2020},
}




@InProceedings{pmlr-v80-hartford18a,
  title = 	 {Deep Models of Interactions Across Sets},
  author = 	 {Hartford, Jason and Graham, Devon and Leyton-Brown, Kevin and Ravanbakhsh, Siamak},
  booktitle = 	 {Proceedings of the 35th International Conference on Machine Learning},
  pages = 	 {1909--1918},
  year = 	 {2018},
  volume = 	 {80},
  series = 	 {PMLR},
  month = 	 {Jul},
  publisher = 	 {PMLR},
  url_pdf = {http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf},
  url_arxiv = {https://arxiv.org/abs/1803.02879},
  url_code_TensorFlow = {https://github.com/mravanba/deep_exchangeable_tensors},
  url_code_Pytorch = {https://github.com/jhartford/AutoEncSets},
}



@InProceedings{NIPS2017_6931,
title = {Deep Sets},
author = {Zaheer, Manzil and Kottur, Satwik and Ravanbakhsh, Siamak and Poczos, Barnabas and Salakhutdinov, Ruslan R and Smola, Alexander J},
booktitle = {Advances in Neural Information Processing Systems 30},
shortbooktitle = {NeurIPS},
pages = {3391--3401},
year = {2017},
publisher = {Curran Associates, Inc.},
url_pdf = {http://papers.nips.cc/paper/6931-deep-sets.pdf},
url_supplemental = {https://papers.nips.cc/paper/6931-deep-sets-supplemental.zip},
url_arXiv = {https://arxiv.org/abs/1703.06114},
url_code = {https://github.com/manzilzaheer/DeepSets},
}




@InProceedings{ravanbakhsh_equivariance,
author={Ravanbakhsh, Siamak and Schneider, Jeff and Poczos, Barnabas},
title={Equivariance Through Parameter-Sharing},
  booktitle = {Proceedings of International Conference on Machine Learning},
  shortbooktitle = {ICML},
  series =  {JMLR: W&CP},
  Volume={70},
  year =      {2017},
  location =  {Sydney, Australia, GB},
  month =     {August},
  url_arXiv = {https://arxiv.org/abs/1702.08389},
  url_pdf = {http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf},
}




@INPROCEEDINGS{ravanbakhsh_exprbm,
    author = {Ravanbakhsh, Siamak and Poczos, Barnabas and Schneider, Jeff and Schuurmans, Dale and Greiner, Russell},
    title = {Stochastic Neural Networks with Monotonic Activation Functions},
    Booktitle  = {International Conference on Artificial Intelligence and Statistics},
    Shortbooktitle={AISTATS},
	Series = {JMLR: W&CP},
    order = {4},
    Volume={51},
    Pages = {809–818},
    year = {2016},
    location = {Cadiz, Spain},
 url_pdf = {http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf},
}




@INPROCEEDINGS{ravanbakhsh_boolean,
  title = {Boolean Matrix Factorization and Noisy Completion via Message Passing},
  author = {Ravanbakhsh, Siamak and P{\'o}czos, Barnab{\'a}s and Greiner, Russell},
  booktitle = {Proceedings of The 33rd International Conference on Machine Learning},
  Shortbooktitle={ICML},
  Series = {JMLR: W&CP},
  Volume={48},
  year = {2016},
  location = {New York, USA},
  url_pdf = {http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf},
  url_Code = {https://github.com/mravanba/BooleanFactorization},
}

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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Arnab Kumar Mondal;  Siba Smarak Panigrahi;  Sékou-Oumar Kaba;  Sai Rajeswar;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2310.01647\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023', 'https://arxiv.org/abs/2310.01647', event);\">\n    Equivariant Adaptation of Large Pretrained Models.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Thirty-seventh Conference on Neural Information Processing Systems</i>,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2310.01647\"\n     onclick=\"log_download('mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023', 'https://arxiv.org/abs/2310.01647', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariant Adaptation of Large Pretrained Models [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>26 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{mondal2023equivariant,\n  title={Equivariant Adaptation of Large Pretrained Models},\n  author={Mondal, Arnab Kumar and Panigrahi, Siba Smarak and Kaba, S{\\&#x27;e}kou-Oumar and Rajeswar, Sai and Ravanbakhsh, Siamak},\n  booktitle={Thirty-seventh Conference on Neural Information Processing Systems},\n  year={2023},\n  url_pdf = {https://arxiv.org/abs/2310.01647}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"akhoundsadegh-perreaultlevasseur-brandstetter-welling-ravanbakhsh-liepointsymmetryandphysicsinformednetworks-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Tara Akhound-Sadegh;  Laurence Perreault-Levasseur;  Johannes Brandstetter;  Max Welling;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2311.04293\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'akhoundsadegh-perreaultlevasseur-brandstetter-welling-ravanbakhsh-liepointsymmetryandphysicsinformednetworks-2023', 'https://arxiv.org/abs/2311.04293', event);\">\n    Lie Point Symmetry and Physics Informed Networks.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Thirty-seventh Conference on Neural Information Processing Systems</i>,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2311.04293\"\n     onclick=\"log_download('akhoundsadegh-perreaultlevasseur-brandstetter-welling-ravanbakhsh-liepointsymmetryandphysicsinformednetworks-2023', 'https://arxiv.org/abs/2311.04293', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Lie Point Symmetry and Physics Informed Networks [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/akhoundsadegh-perreaultlevasseur-brandstetter-welling-ravanbakhsh-liepointsymmetryandphysicsinformednetworks-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>21 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('akhoundsadegh-perreaultlevasseur-brandstetter-welling-ravanbakhsh-liepointsymmetryandphysicsinformednetworks-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{akhound2023lieneurips,\n  title={Lie Point Symmetry and Physics Informed Networks},\n  author={Akhound-Sadegh, Tara and Perreault-Levasseur, Laurence and Brandstetter, Johannes and Welling, Max and Ravanbakhsh, Siamak},\n  booktitle={Thirty-seventh Conference on Neural Information Processing Systems},\n  year={2023},\n  url_pdf = {https://arxiv.org/abs/2311.04293}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Sékou-Oumar Kaba;  Arnab Kumar Mondal;  Yan Zhang;  Yoshua Bengio;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023', 'https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf', event);\">\n    Equivariance with Learned Canonicalization Functions.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  Andreas Krause;  Emma Brunskill;  Kyunghyun Cho;  Barbara Engelhardt;  Sivan Sabato;  and  Jonathan Scarlett., editor(s), <i>Proceedings of the 40th International Conference on Machine Learning</i>, volume 202, of <i>Proceedings of Machine Learning Research</i>, pages 15546–15566, 23–29 Jul 2023. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf\"\n     onclick=\"log_download('kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023', 'https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariance with Learned Canonicalization Functions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://proceedings.mlr.press/v202/kaba23a.html\"\n     onclick=\"log_download('kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023', 'https://proceedings.mlr.press/v202/kaba23a.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariance with Learned Canonicalization Functions [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>55 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kaba-mondal-zhang-bengio-ravanbakhsh-equivariancewithlearnedcanonicalizationfunctions-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{pmlr-v202-kaba23a,\n  title = \t {Equivariance with Learned Canonicalization Functions},\n  author =       {Kaba, S\\&#x27;{e}kou-Oumar and Mondal, Arnab Kumar and Zhang, Yan and Bengio, Yoshua and Ravanbakhsh, Siamak},\n  booktitle = \t {Proceedings of the 40th International Conference on Machine Learning},\n  pages = \t {15546--15566},\n  year = \t {2023},\n  editor = \t {Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan},\n  volume = \t {202},\n  series = \t {Proceedings of Machine Learning Research},\n  month = \t {23--29 Jul},\n  publisher =    {PMLR},\n  url_pdf = \t {https://proceedings.mlr.press/v202/kaba23a/kaba23a.pdf},\n  url = \t {https://proceedings.mlr.press/v202/kaba23a.html},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (5)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"shakerinava-mondal-ravanbakhsh-structuringrepresentationsusinggroupinvariants-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Mehran Shakerinava;  Arnab Kumar Mondal;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'shakerinava-mondal-ravanbakhsh-structuringrepresentationsusinggroupinvariants-2022', 'https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf', event);\">\n    Structuring Representations Using Group Invariants.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  S. Koyejo;  S. Mohamed;  A. Agarwal;  D. Belgrave;  K. Cho;  and  A. Oh., editor(s), <i>Advances in Neural Information Processing Systems</i>, volume 35, pages 34162–34174,  2022. Curran Associates, Inc.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf\"\n     onclick=\"log_download('shakerinava-mondal-ravanbakhsh-structuringrepresentationsusinggroupinvariants-2022', 'https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Structuring Representations Using Group Invariants [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shakerinava-mondal-ravanbakhsh-structuringrepresentationsusinggroupinvariants-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>45 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shakerinava-mondal-ravanbakhsh-structuringrepresentationsusinggroupinvariants-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{NEURIPS2022_dcd29769,\n author = {Shakerinava, Mehran and Mondal, Arnab Kumar and Ravanbakhsh, Siamak},\n booktitle = {Advances in Neural Information Processing Systems},\n editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},\n pages = {34162--34174},\n publisher = {Curran Associates, Inc.},\n title = {Structuring Representations Using Group Invariants},\n url_pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd297696d0bb304ba426b3c5a679c37-Paper-Conference.pdf},\n volume = {35},\n year = {2022}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kaba-ravanbakhsh-equivariantnetworksforcrystalstructures-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Oumar Kaba;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kaba-ravanbakhsh-equivariantnetworksforcrystalstructures-2022', 'https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf', event);\">\n    Equivariant Networks for Crystal Structures.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  S. Koyejo;  S. Mohamed;  A. Agarwal;  D. Belgrave;  K. Cho;  and  A. Oh., editor(s), <i>Advances in Neural Information Processing Systems</i>, volume 35, pages 4150–4164,  2022. Curran Associates, Inc.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf\"\n     onclick=\"log_download('kaba-ravanbakhsh-equivariantnetworksforcrystalstructures-2022', 'https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariant Networks for Crystal Structures [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kaba-ravanbakhsh-equivariantnetworksforcrystalstructures-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>12 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kaba-ravanbakhsh-equivariantnetworksforcrystalstructures-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{NEURIPS2022_1abed6ee,\n author = {Kaba, Oumar and Ravanbakhsh, Siamak},\n booktitle = {Advances in Neural Information Processing Systems},\n editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},\n pages = {4150--4164},\n publisher = {Curran Associates, Inc.},\n title = {Equivariant Networks for Crystal Structures},\n url_pdf = {https://proceedings.neurips.cc/paper_files/paper/2022/file/1abed6ee581b9ceb4e2ddf37822c7fcb-Paper-Conference.pdf},\n volume = {35},\n year = {2022}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Arnab Kumar Mondal;  Vineet Jain;  Kaleem Siddiqi;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022', 'https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf', event);\">\n    EqR: Equivariant Representations for Data-Efficient Reinforcement Learning.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning</i>, pages 15908–15926,  2022. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf\"\n     onclick=\"log_download('mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022', 'https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"EqR: Equivariant Representations for Data-Efficient Reinforcement Learning [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/arnab39/Symmetry-RL\"\n     onclick=\"log_download('mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022', 'https://github.com/arnab39/Symmetry-RL', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"EqR: Equivariant Representations for Data-Efficient Reinforcement Learning [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>152 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mondal-jain-siddiqi-ravanbakhsh-eqrequivariantrepresentationsfordataefficientreinforcementlearning-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{mondal2022eqr,\n  title={EqR: Equivariant Representations for Data-Efficient Reinforcement Learning},\n  author={Mondal, Arnab Kumar and Jain, Vineet and Siddiqi, Kaleem and Ravanbakhsh, Siamak},\n  booktitle={International Conference on Machine Learning},\n  pages={15908--15926},\n  year={2022},\n  organization={PMLR},\n  url_pdf = {https://proceedings.mlr.press/v162/mondal22a/mondal22a.pdf},\n  url_code = {https://github.com/arnab39/Symmetry-RL}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shakerinava-ravanbakhsh-utilitytheoryforsequentialdecisionmaking-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Mehran Shakerinava;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'shakerinava-ravanbakhsh-utilitytheoryforsequentialdecisionmaking-2022', 'https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf', event);\">\n    Utility Theory for Sequential Decision Making.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning</i>, pages 19616–19625,  2022. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf\"\n     onclick=\"log_download('shakerinava-ravanbakhsh-utilitytheoryforsequentialdecisionmaking-2022', 'https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Utility Theory for Sequential Decision Making [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shakerinava-ravanbakhsh-utilitytheoryforsequentialdecisionmaking-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>83 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shakerinava-ravanbakhsh-utilitytheoryforsequentialdecisionmaking-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{shakerinava2022utility,\n  title={Utility Theory for Sequential Decision Making},\n  author={Shakerinava, Mehran and Ravanbakhsh, Siamak},\n  booktitle={International Conference on Machine Learning},\n  pages={19616--19625},\n  year={2022},\n  organization={PMLR},\n  url_pdf = {https://proceedings.mlr.press/v162/shakerinava22a/shakerinava22a.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"morris-rattan-kiefer-ravanbakhsh-speqnetssparsityawarepermutationequivariantgraphnetworks-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Christopher Morris;  Gaurav Rattan;  Sandra Kiefer;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.mlr.press/v162/morris22a/morris22a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'morris-rattan-kiefer-ravanbakhsh-speqnetssparsityawarepermutationequivariantgraphnetworks-2022', 'https://proceedings.mlr.press/v162/morris22a/morris22a.pdf', event);\">\n    SpeqNets: Sparsity-aware permutation-equivariant graph networks.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  Kamalika Chaudhuri;  Stefanie Jegelka;  Le Song;  Csaba Szepesvari;  Gang Niu;  and  Sivan Sabato., editor(s), <i>Proceedings of the 39th International Conference on Machine Learning</i>, volume 162, of <i>Proceedings of Machine Learning Research</i>, pages 16017–16042, 17–23 Jul 2022. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.mlr.press/v162/morris22a/morris22a.pdf\"\n     onclick=\"log_download('morris-rattan-kiefer-ravanbakhsh-speqnetssparsityawarepermutationequivariantgraphnetworks-2022', 'https://proceedings.mlr.press/v162/morris22a/morris22a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"SpeqNets: Sparsity-aware permutation-equivariant graph networks [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/morris-rattan-kiefer-ravanbakhsh-speqnetssparsityawarepermutationequivariantgraphnetworks-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>34 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('morris-rattan-kiefer-ravanbakhsh-speqnetssparsityawarepermutationequivariantgraphnetworks-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{pmlr-v162-morris22a,\n  title = \t {{S}peq{N}ets: Sparsity-aware permutation-equivariant graph networks},\n  author =       {Morris, Christopher and Rattan, Gaurav and Kiefer, Sandra and Ravanbakhsh, Siamak},\n  booktitle = \t {Proceedings of the 39th International Conference on Machine Learning},\n  pages = \t {16017--16042},\n  year = \t {2022},\n  editor = \t {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},\n  volume = \t {162},\n  series = \t {Proceedings of Machine Learning Research},\n  month = \t {17--23 Jul},\n  publisher =    {PMLR},\n  url_pdf = \t {https://proceedings.mlr.press/v162/morris22a/morris22a.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Mehran Shakerinava;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021', 'http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf', event);\">\n    Equivariant Networks for Pixelized Spheres.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  Marina Meila;  and  Tong Zhang., editor(s), <i>Proceedings of the 38th International Conference on Machine Learning</i>, volume 139, of <i>Proceedings of Machine Learning Research</i>, pages 9477–9488, 18–24 Jul 2021. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf\"\n     onclick=\"log_download('shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021', 'http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariant Networks for Pixelized Spheres [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/mshakerinava/Equivariant-Networks-for-Pixelized-Spheres\"\n     onclick=\"log_download('shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021', 'https://github.com/mshakerinava/Equivariant-Networks-for-Pixelized-Spheres', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariant Networks for Pixelized Spheres [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>147 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shakerinava-ravanbakhsh-equivariantnetworksforpixelizedspheres-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{pmlr-v139-shakerinava21a,\n  title = \t {Equivariant Networks for Pixelized Spheres},\n  author =       {Shakerinava, Mehran and Ravanbakhsh, Siamak},\n  booktitle = \t {Proceedings of the 38th International Conference on Machine Learning},\n  pages = \t {9477--9488},\n  year = \t {2021},\n  editor = \t {Meila, Marina and Zhang, Tong},\n  volume = \t {139},\n  series = \t {Proceedings of Machine Learning Research},\n  month = \t {18--24 Jul},\n  publisher =    {PMLR},\n  url_pdf = {http://proceedings.mlr.press/v139/shakerinava21a/shakerinava21a.pdf},\n  url_code =  {https://github.com/mshakerinava/Equivariant-Networks-for-Pixelized-Spheres},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Renhao Wang;  Marjan Albooyeh;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020', 'https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf', event);\">\n    Equivariant Networks for Hierarchical Structures.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  H. Larochelle;  M. Ranzato;  R. Hadsell;  M. F. Balcan;  and  H. Lin., editor(s), <i>Advances in Neural Information Processing Systems</i>, volume 33, pages 13806–13817,  2020. Curran Associates, Inc.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf\"\n     onclick=\"log_download('wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020', 'https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariant Networks for Hierarchical Structures [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf\"\n     onclick=\"log_download('wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020', 'http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariant Networks for Hierarchical Structures [pdf]\"\n       title=\" arxiv\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> arxiv</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/rw435/wreathProdNet\"\n     onclick=\"log_download('wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020', 'https://github.com/rw435/wreathProdNet', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariant Networks for Hierarchical Structures [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>202 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-albooyeh-ravanbakhsh-equivariantnetworksforhierarchicalstructures-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{wang2020equivariant,\n author = {Wang, Renhao and Albooyeh, Marjan and Ravanbakhsh, Siamak},\n booktitle = {Advances in Neural Information Processing Systems},\n editor = {H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},\n pages = {13806--13817},\n publisher = {Curran Associates, Inc.},\n title = {Equivariant Networks for Hierarchical Structures},\n url_pdf = {https://proceedings.neurips.cc/paper/2020/file/9efb1a59d7b58e69996cf0e32cb71098-Paper.pdf},\n url_arXiv = {http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf},\n url_code={https://github.com/rw435/wreathProdNet},\n volume = {33},\n year = {2020}\n}\n\n\n </pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ravanbakhsh-universalequivariantmultilayerperceptrons-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ravanbakhsh-universalequivariantmultilayerperceptrons-2020', 'http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf', event);\">\n    Universal Equivariant Multilayer Perceptrons.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In  Hal Daumé III;  and  Aarti Singh., editor(s), <i>Proceedings of the 37th International Conference on Machine Learning</i>, volume 119, of <i>Proceedings of Machine Learning Research</i>, pages 7996–8006, Virtual, 13–18 Jul 2020. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf\"\n     onclick=\"log_download('ravanbakhsh-universalequivariantmultilayerperceptrons-2020', 'http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Universal Equivariant Multilayer Perceptrons [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ravanbakhsh-universalequivariantmultilayerperceptrons-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>172 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ravanbakhsh-universalequivariantmultilayerperceptrons-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{pmlr-v119-ravanbakhsh20a, \n title = {Universal Equivariant Multilayer Perceptrons}, \n author = {Ravanbakhsh, Siamak}, \n booktitle = {Proceedings of the 37th International Conference on Machine Learning}, \n pages = {7996--8006}, year = {2020}, \n editor = {Hal Daumé III and Aarti Singh}, \n volume = {119}, series = {Proceedings of Machine Learning Research}, \n address = {Virtual}, \n month = {13--18 Jul}, \n publisher = {PMLR}, \n url_pdf = {http://proceedings.mlr.press/v119/ravanbakhsh20a/ravanbakhsh20a.pdf},\n} \n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Devon Graham;  Junhao Wang;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1903.09033\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020', 'https://arxiv.org/abs/1903.09033', event);\">\n    Equivariant Entity-Relationship Networks.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1903.09033</i>.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1903.09033\"\n     onclick=\"log_download('graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020', 'https://arxiv.org/abs/1903.09033', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariant Entity-Relationship Networks [link]\"\n       title=\" arxiv\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> arxiv</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/drgrhm/exch_model\"\n     onclick=\"log_download('graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020', 'https://github.com/drgrhm/exch_model', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariant Entity-Relationship Networks [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>39 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('graham-wang-ravanbakhsh-equivariantentityrelationshipnetworks-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{graham2020deep,\n  title={Equivariant Entity-Relationship Networks},\n  author={Graham, Devon and  Wang, Junhao and Ravanbakhsh, Siamak},\n  journal={arXiv preprint arXiv:1903.09033},\n  url_arxiv = {https://arxiv.org/abs/1903.09033},\n  url_code = {https://github.com/drgrhm/exch_model},\n  year={2020},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Jason Hartford;  Devon Graham;  Kevin Leyton-Brown;  and  Siamak Ravanbakhsh.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018', 'http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf', event);\">\n    Deep Models of Interactions Across Sets.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 35th International Conference on Machine Learning</i>, volume 80, of <i>PMLR</i>, pages 1909–1918, Jul 2018. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf\"\n     onclick=\"log_download('hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018', 'http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Deep Models of Interactions Across Sets [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://arxiv.org/abs/1803.02879\"\n     onclick=\"log_download('hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018', 'https://arxiv.org/abs/1803.02879', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Models of Interactions Across Sets [link]\"\n       title=\" arxiv\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> arxiv</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/mravanba/deep_exchangeable_tensors\"\n     onclick=\"log_download('hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018', 'https://github.com/mravanba/deep_exchangeable_tensors', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Models of Interactions Across Sets [link]\"\n       title=\" code tensorflow\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code tensorflow</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/jhartford/AutoEncSets\"\n     onclick=\"log_download('hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018', 'https://github.com/jhartford/AutoEncSets', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Models of Interactions Across Sets [link]\"\n       title=\" code pytorch\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code pytorch</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>55 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hartford-graham-leytonbrown-ravanbakhsh-deepmodelsofinteractionsacrosssets-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{pmlr-v80-hartford18a,\n  title = \t {Deep Models of Interactions Across Sets},\n  author = \t {Hartford, Jason and Graham, Devon and Leyton-Brown, Kevin and Ravanbakhsh, Siamak},\n  booktitle = \t {Proceedings of the 35th International Conference on Machine Learning},\n  pages = \t {1909--1918},\n  year = \t {2018},\n  volume = \t {80},\n  series = \t {PMLR},\n  month = \t {Jul},\n  publisher = \t {PMLR},\n  url_pdf = {http://proceedings.mlr.press/v80/hartford18a/hartford18a-supp.pdf},\n  url_arxiv = {https://arxiv.org/abs/1803.02879},\n  url_code_TensorFlow = {https://github.com/mravanba/deep_exchangeable_tensors},\n  url_code_Pytorch = {https://github.com/jhartford/AutoEncSets},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2017\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2017')\"\n      onkeypress=\"toggleGroup('group_2017')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2017</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Manzil Zaheer;  Satwik Kottur;  Siamak Ravanbakhsh;  Barnabas Poczos;  Ruslan R Salakhutdinov;  and  Alexander J Smola.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://papers.nips.cc/paper/6931-deep-sets.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017', 'http://papers.nips.cc/paper/6931-deep-sets.pdf', event);\">\n    Deep Sets.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems 30</i>, pages 3391–3401,  2017. Curran Associates, Inc.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://papers.nips.cc/paper/6931-deep-sets.pdf\"\n     onclick=\"log_download('zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017', 'http://papers.nips.cc/paper/6931-deep-sets.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Deep Sets [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://papers.nips.cc/paper/6931-deep-sets-supplemental.zip\"\n     onclick=\"log_download('zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017', 'https://papers.nips.cc/paper/6931-deep-sets-supplemental.zip', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Sets [link]\"\n       title=\" supplemental\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> supplemental</span></a>\n  &nbsp;\n  \n  <a href=\"https://arxiv.org/abs/1703.06114\"\n     onclick=\"log_download('zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017', 'https://arxiv.org/abs/1703.06114', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Sets [link]\"\n       title=\" arxiv\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> arxiv</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/manzilzaheer/DeepSets\"\n     onclick=\"log_download('zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017', 'https://github.com/manzilzaheer/DeepSets', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Sets [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>58 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zaheer-kottur-ravanbakhsh-poczos-salakhutdinov-smola-deepsets-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{NIPS2017_6931,\ntitle = {Deep Sets},\nauthor = {Zaheer, Manzil and Kottur, Satwik and Ravanbakhsh, Siamak and Poczos, Barnabas and Salakhutdinov, Ruslan R and Smola, Alexander J},\nbooktitle = {Advances in Neural Information Processing Systems 30},\nshortbooktitle = {NeurIPS},\npages = {3391--3401},\nyear = {2017},\npublisher = {Curran Associates, Inc.},\nurl_pdf = {http://papers.nips.cc/paper/6931-deep-sets.pdf},\nurl_supplemental = {https://papers.nips.cc/paper/6931-deep-sets-supplemental.zip},\nurl_arXiv = {https://arxiv.org/abs/1703.06114},\nurl_code = {https://github.com/manzilzaheer/DeepSets},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Siamak Ravanbakhsh;  Jeff Schneider;  and  Barnabas Poczos.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017', 'http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf', event);\">\n    Equivariance Through Parameter-Sharing.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of International Conference on Machine Learning</i>, volume 70, of <i>JMLR: W&CP</i>, August 2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1702.08389\"\n     onclick=\"log_download('ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017', 'https://arxiv.org/abs/1702.08389', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Equivariance Through Parameter-Sharing [link]\"\n       title=\" arxiv\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> arxiv</span></a>\n  &nbsp;\n  \n  <a href=\"http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf\"\n     onclick=\"log_download('ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017', 'http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Equivariance Through Parameter-Sharing [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>32 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ravanbakhsh-schneider-poczos-equivariancethroughparametersharing-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{ravanbakhsh_equivariance,\nauthor={Ravanbakhsh, Siamak and Schneider, Jeff and Poczos, Barnabas},\ntitle={Equivariance Through Parameter-Sharing},\n  booktitle = {Proceedings of International Conference on Machine Learning},\n  shortbooktitle = {ICML},\n  series =  {JMLR: W&amp;CP},\n  Volume={70},\n  year =      {2017},\n  location =  {Sydney, Australia, GB},\n  month =     {August},\n  url_arXiv = {https://arxiv.org/abs/1702.08389},\n  url_pdf = {http://proceedings.mlr.press/v70/ravanbakhsh17a/ravanbakhsh17a-supp.pdf},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2016\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2016')\"\n      onkeypress=\"toggleGroup('group_2016')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2016</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_group_whole\" id=\"group_4\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_4')\"\n      onkeypress=\"toggleGroup('group_4')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>4</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ravanbakhsh-poczos-schneider-schuurmans-greiner-stochasticneuralnetworkswithmonotonicactivationfunctions-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Siamak Ravanbakhsh;  Barnabas Poczos;  Jeff Schneider;  Dale Schuurmans;  and  Russell Greiner.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ravanbakhsh-poczos-schneider-schuurmans-greiner-stochasticneuralnetworkswithmonotonicactivationfunctions-2016', 'http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf', event);\">\n    Stochastic Neural Networks with Monotonic Activation Functions.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Artificial Intelligence and Statistics</i>, volume 51, of <i>JMLR: W&CP</i>, pages 809–818,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf\"\n     onclick=\"log_download('ravanbakhsh-poczos-schneider-schuurmans-greiner-stochasticneuralnetworkswithmonotonicactivationfunctions-2016', 'http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Stochastic Neural Networks with Monotonic Activation Functions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ravanbakhsh-poczos-schneider-schuurmans-greiner-stochasticneuralnetworkswithmonotonicactivationfunctions-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>25 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ravanbakhsh-poczos-schneider-schuurmans-greiner-stochasticneuralnetworkswithmonotonicactivationfunctions-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{ravanbakhsh_exprbm,\n    author = {Ravanbakhsh, Siamak and Poczos, Barnabas and Schneider, Jeff and Schuurmans, Dale and Greiner, Russell},\n    title = {Stochastic Neural Networks with Monotonic Activation Functions},\n    Booktitle  = {International Conference on Artificial Intelligence and Statistics},\n    Shortbooktitle={AISTATS},\n\tSeries = {JMLR: W&amp;CP},\n    order = {4},\n    Volume={51},\n    Pages = {809–818},\n    year = {2016},\n    location = {Cadiz, Spain},\n url_pdf = {http://www.jmlr.org/proceedings/papers/v51/ravanbakhsh16.pdf},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n   Siamak Ravanbakhsh;  Barnabás Póczos;  and  Russell Greiner.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016', 'http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf', event);\">\n    Boolean Matrix Factorization and Noisy Completion via Message Passing.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of The 33rd International Conference on Machine Learning</i>, volume 48, of <i>JMLR: W&CP</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf\"\n     onclick=\"log_download('ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016', 'http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Boolean Matrix Factorization and Noisy Completion via Message Passing [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/mravanba/BooleanFactorization\"\n     onclick=\"log_download('ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016', 'https://github.com/mravanba/BooleanFactorization', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Boolean Matrix Factorization and Noisy Completion via Message Passing [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>18 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ravanbakhsh-pczos-greiner-booleanmatrixfactorizationandnoisycompletionviamessagepassing-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{ravanbakhsh_boolean,\n  title = {Boolean Matrix Factorization and Noisy Completion via Message Passing},\n  author = {Ravanbakhsh, Siamak and P{\\&#x27;o}czos, Barnab{\\&#x27;a}s and Greiner, Russell},\n  booktitle = {Proceedings of The 33rd International Conference on Machine Learning},\n  Shortbooktitle={ICML},\n  Series = {JMLR: W&amp;CP},\n  Volume={48},\n  year = {2016},\n  location = {New York, USA},\n  url_pdf = {http://jmlr.org/proceedings/papers/v48/ravanbakhsha16.pdf},\n  url_Code = {https://github.com/mravanba/BooleanFactorization},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; 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