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\n\n \n \n Zaheer, M.; Kottur, S.; Ravanbakhsh, S.; Poczos, B.; Salakhutdinov, R. R; and Smola, A. J\n\n\n \n \n \n \n \n Deep Sets.\n \n \n \n \n\n\n \n\n\n\n In Guyon, I.; Luxburg, U. V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; and Garnett, R., editor(s),
Advances in Neural Information Processing Systems 30, pages 3391–3401, 2017. Curran Associates, Inc.\n
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oral presentation (1.2% acceptance rate)\n\n
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@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},\neditor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},\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_code = {https://github.com/manzilzaheer/DeepSets},\nurl_arXiv = {https://arxiv.org/abs/1703.06114},\nBibbase_Note={<font color="#E74C3C">oral presentation (1.2\\% acceptance rate)</font>},\n}\n\n
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\n\n \n \n Srinivasa, C.; Givoni, I.; Ravanbakhsh, S.; and Frey, B. J\n\n\n \n \n \n \n \n Min-Max Propagation.\n \n \n \n \n\n\n \n\n\n\n In Guyon, I.; Luxburg, U. V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; and Garnett, R., editor(s),
Advances in Neural Information Processing Systems 30, pages 5565–5573, 2017. Curran Associates, Inc.\n
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@InProceedings{NIPS2017_7140,\ntitle = {Min-Max Propagation},\nauthor = {Srinivasa, Christopher and Givoni, Inmar and Ravanbakhsh, Siamak and Frey, Brendan J},\nbooktitle = {Advances in Neural Information Processing Systems 30},\neditor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},\npages = {5565--5573},\nyear = {2017},\npublisher = {Curran Associates, Inc.},\nurl_pdf = {http://papers.nips.cc/paper/7140-min-max-propagation.pdf},\nurl_supplemental = {http://papers.nips.cc/paper/7140-min-max-propagation-supplemental.zip}\n}\n\n
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\n\n \n \n Ravanbakhsh, S.; Lanusse, F.; Mandelbaum, R.; Schneider, J.; and Poczos, B.\n\n\n \n \n \n \n \n Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.\n \n \n \n \n\n\n \n\n\n\n In
Proceedings of the Thirty First AAAI Conference on Artificial Intelligence, 2017. \n
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\n\n \n \n arxiv\n \n \n \n pdf\n \n \n \n in nature news\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@inproceedings{ravanbakhsh_gengalaxy,\n title={Enabling Dark Energy Science with Deep Generative Models of Galaxy Images},\n author={Ravanbakhsh, Siamak and Lanusse, Francois and Mandelbaum, Rachel and Schneider, Jeff and Poczos, Barnabas},\n booktitle={Proceedings of the Thirty First AAAI Conference on Artificial Intelligence},\n url_arXiv = {https://arxiv.org/abs/1609.05796},\n url_pdf = {http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14765/13939},\n url_in_Nature_News={http://www.nature.com/news/astronomers-explore-uses-for-ai-generated-images-1.21398},\n year={2017},\n}\n\n\n
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\n\n \n \n Ravanbakhsh, S.; Schneider, J.; and Poczos, B.\n\n\n \n \n \n \n \n Deep Learning with Sets and Point Clouds.\n \n \n \n \n\n\n \n\n\n\n In
International Conference on Learning Representations (ICLR), workshop track, 2017. \n
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@inproceedings{ravanbakhsh_sets,\n title={Deep Learning with Sets and Point Clouds},\n author={Ravanbakhsh, Siamak and Schneider, Jeff and Poczos, Barnabas},\n booktitle={International Conference on Learning Representations (ICLR), workshop track},\n year={2017},\nurl_arXiv = {https://arxiv.org/abs/1611.04500},\nurl_code = {https://github.com/manzilzaheer/DeepSets},\n}\n\n\n
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\n\n \n \n Lanusse, F.; Ravanbakhsh, S.; Mandelbaum, R.; Schneider, J.; and Poczos, B.\n\n\n \n \n \n \n \n Deep Generative Models of Galaxy Images for the Calibration of the Next Generation of Weak Lensing Surveys.\n \n \n \n \n\n\n \n\n\n\n In
American Astronomical Society Meeting Abstracts, volume 229, pages 342.05, January 2017. \n
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@INPROCEEDINGS{lanusse_AAS_workshop,\n author = {{Lanusse}, Francois, and {Ravanbakhsh}, Siamak and {Mandelbaum}, Rachel and \n\t{Schneider}, Jeff and {Poczos}, Barnabas},\n title = "{Deep Generative Models of Galaxy Images for the Calibration of the Next Generation of Weak Lensing Surveys}",\nbooktitle = {American Astronomical Society Meeting Abstracts},\n year = 2017,\n series = {American Astronomical Society Meeting Abstracts},\n volume = 229,\n month = jan,\n eid = {342.05},\n pages = {342.05},\n url_abstract = {http://adsabs.harvard.edu/abs/2017AAS...22934205L},\n}\n\n\n
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