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\n  \n 2023\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Can deep neural networks for intrinsic image decomposition model human lightness constancy?.\n \n \n \n\n\n \n Flachot, A.; Patel, J.; Patel, K.; Wallis, T. S.; Brubaker, M. A; Brainard, D. H; and Murray, R. F\n\n\n \n\n\n\n Journal of Vision, 23(9): 5467–5467. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Flachot2023Can,\n  title={Can deep neural networks for intrinsic image decomposition model human lightness constancy?},\n  author={Flachot, Alban and Patel, Jaykishan and Patel, Khushbu and Wallis, Tom SA and Brubaker, Marcus A and Brainard, David H and Murray, Richard F},\n  journal={Journal of Vision},\n  volume={23},\n  number={9},\n  pages={5467--5467},\n  year={2023},\n  publisher={The Association for Research in Vision and Ophthalmology}\n}\n\n
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\n \n\n \n \n \n \n \n A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions.\n \n \n \n\n\n \n Patel, J.; Flachot, A.; Vazquez-Corral, J.; Brainard, D. H; Wallis, T. S.; Brubaker, M. A; and Murray, R. F\n\n\n \n\n\n\n Journal of Vision, 23(9): 4817–4817. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Patel2023Deep,\n  title={A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions},\n  author={Patel, Jaykishan and Flachot, Alban and Vazquez-Corral, Javier and Brainard, David H and Wallis, Thomas SA and Brubaker, Marcus A and Murray, Richard F},\n  journal={Journal of Vision},\n  volume={23},\n  number={9},\n  pages={4817--4817},\n  year={2023},\n  publisher={The Association for Research in Vision and Ophthalmology}\n}\n\n
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\n \n\n \n \n \n \n \n \n Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models.\n \n \n \n \n\n\n \n Yu, J. J.; Forghani, F.; Derpanis, K. G.; and Brubaker, M. A.\n\n\n \n\n\n\n In Proceedings of the International Conference on Computer Vision (ICCV), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Long-Term arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 17 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Yu2023LongTerm,\n      title={Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models}, \n      author={Jason J. Yu and Fereshteh Forghani and Konstantinos G. Derpanis and Marcus A. Brubaker},\n      year={2023},\n      booktitle=ICCV,\n      eprint={2304.10700},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2304.10700}\n}\n\n
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\n \n\n \n \n \n \n \n \n Reference-guided Controllable Inpainting of Neural Radiance Fields.\n \n \n \n \n\n\n \n Mirzaei, A.; Aumentado-Armstrong, T.; Brubaker, M. A.; Kelly, J.; Levinshtein, A.; Derpanis, K. G.; and Gilitschenski, I.\n\n\n \n\n\n\n In Proceedings of the International Conference on Computer Vision (ICCV), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Reference-guided arxiv\n  \n \n \n \"Reference-guided website\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Mirzaei2023ReferenceGuided,\n      title={Reference-guided Controllable Inpainting of Neural Radiance Fields}, \n      author={Ashkan Mirzaei and Tristan Aumentado-Armstrong and Marcus A. Brubaker and Jonathan Kelly and Alex Levinshtein and Konstantinos G. Derpanis and Igor Gilitschenski},\n      year={2023},\n      booktitle=ICCV,\n      eprint={2304.09677},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2304.09677},\n      url_Website = {https://ashmrz.github.io/reference-guided-3d/}\n}\n\n
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\n \n\n \n \n \n \n \n \n SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"SPIn-NeRF: arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference.\n  \n  \n  \n\n\n  \n  \n\n\n  \n\n\n\n  In ICML Workshop on Structured Probabilistic Inference & Generative Modelling,  2023. \n  \n\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Efficient CDF Approximations for Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Sastry, C. S.; Lehrmann, A.; Brubaker, M. A.;  and Radovic, A.\n\n\n  \n\n\n\n  Transactions on Machine Learning Research (TMLR).  2022.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"EfficientPaper\n   \n  \n  \n    \"Efficient arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    19 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{Sastry2022Efficient,\n      title={{Efficient CDF Approximations for Normalizing Flows}},\n      author={Chandramouli Shama Sastry and Andreas Lehrmann and Marcus A. Brubaker and Alexander Radovic},\n      journal=TMLR,\n      year={2022},\n      eprint={2202.11322},\n      archivePrefix={arXiv},\n      primaryClass={cs.LG},\n      url={https://openreview.net/forum?id=LnjclqBl8R},\n      url_arXiv={https://arxiv.org/abs/2202.11322}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Residual Multiplicative Filter Networks for Multiscale Reconstruction.\n  \n  \n  \n  \n\n\n  \n  Shekarforoush, S.; Lindell, D. B.; Fleet, D. J.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems (NeurIPS),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Residual arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    7 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Shekarforoush2022ResidualMFN,\n      title = {Residual Multiplicative Filter Networks for Multiscale Reconstruction},\n      author = {Shekarforoush, Shayan and Lindell, David B. and Fleet, David J. and Brubaker, Marcus A.},\n      year = {2022},\n      booktitle=NeurIPS,\n      eprint={2206.00746},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2206.00746},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Neural Image Representations for Multi-Image Fusion and Layer Separation.\n  \n  \n  \n  \n\n\n  \n  Nam, S.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n  In Proceedings of the European Conference on Computer Vision (ECCV),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Neural arxiv\n   \n  \n  \n    \"Neural website\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    8 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Nam2022Neural,\n      title={Neural Image Representations for Multi-Image Fusion and Layer Separation}, \n      author={Seonghyeon Nam and Marcus A. Brubaker and Michael S. Brown},\n      year={2022},\n      booktitle=ECCV,\n      eprint={2108.01199},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2108.01199},\n      url_Website = {http://snam.ml/research/nir}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images.\n  \n  \n  \n  \n\n\n  \n  Maleky, A.; Kousha, S.; Brown, M. S.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Noise2NoiseFlow: arxiv\n   \n  \n  \n    \"Noise2NoiseFlow: website\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    31 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Maleky2022Noise2NoiseFlow,\n\ttitle={{Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images}},\n\tauthor={Ali Maleky and Shayan Kousha and Michael S. Brown and Marcus A. Brubaker},\n\tyear={2022},\n\tbooktitle=CVPR,\n\teprint={2206.01103},\n\tarchivePrefix={arXiv},\n\tprimaryClass={cs.CV},\n\turl_arXiv = {https://arxiv.org/abs/2206.01103},\n\turl_Website = {https://yorkucvil.github.io/Noise2NoiseFlow/},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Modeling sRGB Camera Noise with Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Kousha, S.; Maleky, A.; Brown, M. S.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Modeling arxiv\n   \n  \n  \n    \"Modeling website\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    10 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Kousha2022ModelingsRGB,\n\ttitle={{Modeling sRGB Camera Noise with Normalizing Flows}},\n\tauthor={Shayan Kousha and Ali Maleky and Michael S. Brown and Marcus A. Brubaker},\n\tyear={2022},\n\tbooktitle=CVPR,\n\teprint={2206.00812},\n\tarchivePrefix={arXiv},\n\tprimaryClass={cs.CV},\n\turl_arXiv = {https://arxiv.org/abs/2206.00812},\n\turl_Website = {https://yorkucvil.github.io/sRGBNoise/},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Learning sRGB-to-Raw De-rendering with Content-Aware Metadata.\n  \n  \n  \n  \n\n\n  \n  Nam, S.; Punnappurath, A.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Learning arxiv\n   \n  \n  \n    \"Learning code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    3 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Nam2022Learning,\n\ttitle={{Learning sRGB-to-Raw De-rendering with Content-Aware Metadata}},\n\tauthor={Seonghyeon Nam and Abhijith Punnappurath and Marcus A. Brubaker and Michael S. Brown},\n\tyear={2022},\n\tbooktitle=CVPR,\n\teprint={2206.01813},\n\tarchivePrefix={arXiv},\n\tprimaryClass={eess.IV},\n\turl_arXiv = {https://arxiv.org/abs/2206.01813},\n\turl_Code = {https://github.com/SamsungLabs/content-aware-metadata},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals.\n  \n  \n  \n  \n\n\n  \n  Brofos, J. A.; Gabrié, M.; Brubaker, M. A.;  and Lederman, R. R.\n\n\n  \n\n\n\n  In International Conference on Artificial Intelligence and Statistics (AISTATS),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Adaptation arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Brofos2021Adaptation,\n      title={Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals}, \n      author={James A. Brofos and Marylou Gabri\\'{e} and Marcus A. Brubaker and Roy R. Lederman},\n      year={2022},\n      booktitle=AISTATS,\n      eprint={2110.13216},\n      archivePrefix={arXiv},\n      primaryClass={stat.CO},\n      url_arXiv={https://arxiv.org/abs/2110.13216}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Auto White-Balance Correction for Mixed-Illuminant Scenes.\n  \n  \n  \n  \n\n\n  \n  Afifi, M.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV),  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Auto arxiv\n   \n  \n  \n    \"Auto code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    9 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{AfifiWACV2021Auto,\n      title={Auto White-Balance Correction for Mixed-Illuminant Scenes}, \n      author={Mahmoud Afifi and Marcus A. Brubaker and Michael S. Brown},\n      year={2022},\n      booktitle=WACV,\n      eprint={2109.08750},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2109.08750},\n      url_Code = {https://github.com/mahmoudnafifi/mixedillWB}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Physics aware inference for the cryo-EM inverse problem: anisotropic network model heterogeneity, global pose and microscope defocus.\n  \n  \n  \n  \n\n\n  \n  Woollard, G.; Shekarforoush, S.; Wood, F.; Brubaker, M. A.;  and Duc, K. D.\n\n\n  \n\n\n\n  In NeurIPS Workshop on Machine Learning for Structural Biology,  2022. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Physics paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{woollard2022physics,\n  title={Physics aware inference for the cryo-EM inverse problem: anisotropic network model heterogeneity, global pose and microscope defocus},\n  author={Woollard, Geoffrey and Shekarforoush, Shayan and Wood, Frank and Brubaker, Marcus A. and Duc, Khanh Dao},\n  booktitle={{NeurIPS Workshop on Machine Learning for Structural Biology}},\n  year={2022},\n  url_Paper={https://openreview.net/pdf?id=g0UBB4QLiEQ}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Continuous Latent Process Flows.\n  \n  \n  \n  \n\n\n  \n  Deng, R.; Brubaker, M. A.; Mori, G.;  and Lehrmann, A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems (NeurIPS),  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Continuous arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    13 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{DengNeurIPS2021Continuous,\n  title={Continuous Latent Process Flows},\n  author={Ruizhi Deng and Marcus A. Brubaker and Greg Mori and Andreas Lehrmann},\n  year={2021},\n  booktitle = NeurIPS,\n  eprint={2106.15580},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/2106.15580},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms.\n  \n  \n  \n  \n\n\n  \n  Afifi, M.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"HistoGAN: arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    20 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Afifi2021HistoGAN,\n  title={HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms}, \n  author={Mahmoud Afifi and Marcus A. Brubaker and Michael S. Brown},\n  booktitle=CVPR,\n  year={2021},\n  eprint={2011.11731},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {https://arxiv.org/abs/2010.13821},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Manifold Density Estimation via Generalized Dequantization.\n  \n  \n  \n  \n\n\n  \n  Brofos, J. A.; Brubaker, M. A.;  and Lederman, R. R.\n\n\n  \n\n\n\n  In ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models,  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Manifold arxiv\n   \n  \n  \n    \"Manifold code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    7 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Brofos2021ICMLWINNFManifold,\n  title={Manifold Density Estimation via Generalized Dequantization},\n  author={James A. Brofos and Marcus A. Brubaker and Roy R. Lederman},\n  year={2021},\n  booktitle = {{ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models}},\n  eprint={2102.07143},\n  archivePrefix={arXiv},\n  primaryClass={stat.ML},\n  url_arXiv = {https://arxiv.org/abs/2102.07143},\n  url_Code = {https://github.com/JamesBrofos/Manifold-Dequantization}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Agent Forecasting at Flexible Horizons using ODE Flows.\n  \n  \n  \n  \n\n\n  \n  Radovic, A.; He, J.; Ramanan, J.; Brubaker, M. A.;  and Lehrmann, A.\n\n\n  \n\n\n\n  In ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models,  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Agent paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Radovic2021ICMLWINNFAgent,\n  title={Agent Forecasting at Flexible Horizons using ODE Flows},\n  author={Alexander Radovic and Jiawei He and Janahan Ramanan and Marcus A. Brubaker and Andreas Lehrmann},\n  year={2021},\n  booktitle = {{ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models}},\n  url_Paper = {https://openreview.net/forum?id=MvjsWTCfXpA},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Continuous Latent Process Flows.\n  \n  \n  \n  \n\n\n  \n  Deng, R.; Brubaker, M. A.; Mori, G.;  and Lehrmann, A.\n\n\n  \n\n\n\n  In ICML Workshop on Time Series,  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Continuous arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    13 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Deng2021ICMLWTSContinuous,\n  title={Continuous Latent Process Flows},\n  author={Ruizhi Deng and Marcus A. Brubaker and Greg Mori and Andreas Lehrmann},\n  year={2021},\n  booktitle = {{ICML Workshop on Time Series}},\n  eprint={2106.15580},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/2106.15580},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Zero-shot Learning with Class Description Regularization.\n  \n  \n  \n  \n\n\n  \n  Kousha, S.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In CVPR Workshop on Fine-Grained Visual Categorization,  2021. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Zero-shot arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    4 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Kousha2021CVPRWFGVCZeroshot,\n  title={Zero-shot Learning with Class Description Regularization},\n  author={Shayan Kousha and Marcus A. Brubaker},\n  year={2021},\n  booktitle = {{CVPR Workshop on Fine-Grained Visual Categorization}},\n  eprint={2106.16108},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {https://arxiv.org/abs/2106.16108},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Equivariant Finite Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Bose, A. J.; Brubaker, M. A.;  and Kobyzev, I.\n\n\n  \n\n\n\n   2021.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Equivariant arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{Bose2021EquivariantFlows,\n  author = {Bose, Avishek Joey and Brubaker, Marcus A. and Kobyzev, Ivan},\n  title = {Equivariant Finite Normalizing Flows},\n  eprint={2110.08649},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  year = {2021},\n  url_arXiv = {https://arxiv.org/abs/2110.08649},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    CAMS: Color-Aware Multi-Style Transfer.\n  \n  \n  \n  \n\n\n  \n  Afifi, M.; Abuolaim, A.; Hussien, M.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n   2021.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"CAMS: arxiv\n   \n  \n  \n    \"CAMS: code\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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@misc{Afifi2021CAMS,\n      title={CAMS: Color-Aware Multi-Style Transfer}, \n      author={Mahmoud Afifi and Abdullah Abuolaim and Mostafa Hussien and Marcus A. Brubaker and Michael S. Brown},\n      year={2021},\n      eprint={2106.13920},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV},\n      url_arXiv = {https://arxiv.org/abs/2106.13920},\n      url_Code = {https://github.com/mahmoudnafifi/color-aware-style-transfer}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Differential Privacy Tutorial II: Machine Learning and Data Generation.\n  \n  \n  \n  \n\n\n  \n  Sharma, G.; Hegde, N.; Prince, S. J.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  March 2021.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Differential blog\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    7 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{SharmaDPTutorialPartII2021,\n    title={{Differential Privacy Tutorial II: Machine Learning and Data Generation}},\n    author={Guarav Sharma and Nidhi Hegde and Simon J.D. Prince and Marcus A. Brubaker},\n    month=Mar,\n    year={2021},\n    url_blog={https://www.borealisai.com/en/blog/tutorial-13-differential-privacy-ii-machine-learning-and-data-generation/},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Differential Privacy Tutorial I: Introduction.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.;  and Prince, S. J.\n\n\n  \n\n\n\n  February 2021.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Differential blog\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    9 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{BrubakerDPTutorialPartI2021,\n    title={{Differential Privacy Tutorial I: Introduction}},\n    author={Marcus A. Brubaker and Simon J.D. Prince},\n    month=Feb,\n    year={2021},\n    url_blog={https://www.borealisai.com/en/blog/tutorial-12-differential-privacy-i-introduction/}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Normalizing Flows: An Introduction and Review of Current Methods.\n  \n  \n  \n  \n\n\n  \n  Kobyzev, I.; Prince, S. J.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).  2020.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Normalizing arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    37 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{KobyzevPAMI2020,\n  title={Normalizing Flows: An Introduction and Review of Current Methods},\n  author={Kobyzev, Ivan and Prince, Simon J.D. and Brubaker, Marcus A.},\n  journal=PAMI,\n  year={2020},\n  eprint={1908.09257},\n  archivePrefix={arXiv},\n  primaryClass={stat.ML},\n  url_arXiv={https://arxiv.org/abs/1908.09257}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model.\n  \n  \n  \n  \n\n\n  \n  Ghorbani, S.; Wloka, C.; Etemad, A.; Brubaker, M. A.;  and Troje, N. F.\n\n\n  \n\n\n\n  Proceedings of Symposium on Computer Animation (SCA) in Computer Graphics Forum, 39(8).  2020.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Probabilistic paper\n   \n  \n  \n    \"Probabilistic local\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    22 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{GhorbaniSCA2020,\n  title={Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model},\n  author={Ghorbani, Saeed and Wloka, Calden and Etemad, Ali and Brubaker, Marcus A. and Troje, Nikolaus F.},\n  journal={{Proceedings of Symposium on Computer Animation (SCA) in Computer Graphics Forum}},\n  year={2020},\n  volume={39},\n  number={8},\n  url_Paper = {https://doi.org/10.1111/cgf.14116},\n  url_Local = {GhorbaniSCA2020.pdf}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Wavelet Flow: Fast Training of High Resolution Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Yu, J. J.; Derpanis, K.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems (NeurIPS),  2020. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Wavelet arxiv\n   \n  \n  \n    \"Wavelet website\n   \n  \n  \n    \"Wavelet code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    25 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{YuNeurIPS2020WaveletFlow,\n  title={{Wavelet Flow: Fast Training of High Resolution Normalizing Flows}},\n  author={Yu, Jason J. and Derpanis, Konstantinos and Brubaker, Marcus A.},\n  booktitle=NeurIPS,\n  year={2020},\n  eprint={2010.13821},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {https://arxiv.org/abs/2010.13821},\n  url_Website = {https://yorkucvil.github.io/Wavelet-Flow/},\n  url_Code = {https://github.com/YorkUCVIL/Wavelet-Flow/}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Deng, R.; Chang, B.; Brubaker, M. A.; Mori, G.;  and Lehrmann, A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems (NeurIPS),  2020. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Modeling arxiv\n   \n  \n  \n    \"Modeling code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    16 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{DengNeurIPS2020CNFP,\n  title={{Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows}},\n  author={Deng, Ruizhi and Chang, Bo and Brubaker, Marcus A. and Mori, Greg and Lehrmann, Andreas},\n  booktitle=NeurIPS,\n  year={2020},\n  eprint={2002.10516},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/2002.10516},\n  url_Code = {https://github.com/BorealisAI/continuous-time-flow-process}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Tails of Lipschitz Triangular Flows.\n  \n  \n  \n  \n\n\n  \n  Jaini, P.; Kobyzev, I.; Brubaker, M. A.;  and Yu, Y.\n\n\n  \n\n\n\n  In Proceedings of the International Conference on Machine Learning (ICML),  2020. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Tails arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    8 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{JainiICML2020Tails,\n  title={Tails of Lipschitz Triangular Flows},\n  author={Jaini, Priyank and Kobyzev, Ivan and Brubaker, Marcus A. and Yu, Yaoliang},\n  booktitle=ICML,\n  year={2020},\n  eprint={1907.04481},\n  archivePrefix={arXiv},\n  primaryClass={math.ST},\n  url_arXiv={https://arxiv.org/abs/1907.04481}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Diachronic Embedding for Temporal Knowledge Graph Completion.\n  \n  \n  \n  \n\n\n  \n  Goel, R.; Kazemi, S. M.; Brubaker, M. A.;  and Poupart, P.\n\n\n  \n\n\n\n  In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI),  2020. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Diachronic arxiv\n   \n  \n  \n    \"Diachronic paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{GoelAAAI2020,\n  title={{Diachronic Embedding for Temporal Knowledge Graph Completion}},\n  author={Rishab Goel and Seyed Mehran Kazemi and Marcus A. Brubaker and Pascal Poupart},\n  booktitle=AAAI,\n  year={2020},\n  eprint={1907.03143},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/1907.03143},\n  url_Paper={GoelAAAI2020.pdf}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Deng, R.; Chang, B.; Brubaker, M. A.; Mori, G.;  and Lehrmann, A.\n\n\n  \n\n\n\n  In ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models,  2020. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Modeling arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    16 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Deng2020Modeling,\n  title={Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows},\n  author={Ruizhi Deng and Bo Chang and Marcus A. Brubaker and Greg Mori and Andreas Lehrmann},\n  year={2020},\n  booktitle = {{ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models}},\n  eprint={2002.10516},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/2002.10516},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Variational Hyper RNN for Sequence Modeling.\n  \n  \n  \n  \n\n\n  \n  Deng, R.; Cao, Y.; Chang, B.; Sigal, L.; Mori, G.;  and Brubaker, M. A.\n\n\n  \n\n\n\n   2020.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Variational arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    8 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{Deng2020Variational,\n    title={Variational Hyper RNN for Sequence Modeling},\n    author={Ruizhi Deng and Yanshuai Cao and Bo Chang and Leonid Sigal and Greg Mori and Marcus A. Brubaker},\n    year={2020},\n    eprint={2002.10501},\n    archivePrefix={arXiv},\n    primaryClass={cs.LG},\n    url_arXiv = {https://arxiv.org/abs/2002.10501},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Noise Flow: Noise Modeling with Conditional Normalizing Flows.\n  \n  \n  \n  \n\n\n  \n  Abdelhamed, A.; Brubaker, M. A.;  and Brown, M. S.\n\n\n  \n\n\n\n  In Proceedings of the International Conference on Computer Vision (ICCV),  2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Noise arxiv\n   \n  \n  \n    \"Noise paper\n   \n  \n  \n    \"Noise supplemental\n   \n  \n  \n    \"Noise code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    9 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{AbdelhamedICCV2019,\n  title={{Noise Flow: Noise Modeling with Conditional Normalizing Flows}},\n  author={Abdelrahman Abdelhamed and Marcus A. Brubaker and Michael S. Brown},\n  booktitle=ICCV,\n  year={2019},\n  eprint={1908.08453},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {https://arxiv.org/abs/1908.08453},\n  url_Paper={AbdelhamedICCV2019.pdf},\n  url_Supplemental={AbdelhamedICCV2019-Supplemental.pdf},\n  url_Code = {https://github.com/BorealisAI/noise_flow}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection.\n  \n  \n  \n  \n\n\n  \n  Masoumzadeh, A.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Proceedings of the British Machine Vision Conference (BMVC),  2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"HydraPicker: paper\n   \n  \n  \n    \"HydraPicker: supplemental\n   \n  \n  \n    \"HydraPicker: code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    15 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{MasoumzadehBMVC2019,\n  title={{HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection}},\n  author={Abbas Masoumzadeh and Marcus A. Brubaker},\n  booktitle=BMVC,\n  year={2019},\n  url_Paper={MasoumzadehBMVC2019.pdf},\n  url_Supplemental={MasoumzadehBMVC2019-Supplemental.zip},\n  url_Code={https://github.com/AbbasMZ/HydraPicker_Colab}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Differentiable probabilistic models of scientific imaging with the Fourier slice theorem.\n  \n  \n  \n  \n\n\n  \n  Ullrich, K.; van den Berg, R.; Brubaker, M. A.; Fleet, D. J.;  and Welling, M.\n\n\n  \n\n\n\n  In Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI),  2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Differentiable arxiv\n   \n  \n  \n    \"Differentiable paper\n   \n  \n  \n    \"Differentiable openreview\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    7 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{UllrichUAI2019,\n  title={{Differentiable probabilistic models of scientific imaging with the Fourier slice theorem}},\n  author={Karen Ullrich and Rianne van den Berg and Marcus A. Brubaker and David J. Fleet and Max Welling},\n  booktitle=UAI,\n  year={2019},\n  eprint={1906.07582},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/1906.07582},\n  url_Paper={UllrichUAI2019.pdf},\n  url_OpenReview={https://openreview.net/forum?id=rJG7g9xnL4}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    On the Effectiveness of Low Frequency Perturbations.\n  \n  \n  \n  \n\n\n  \n  Sharma, Y.; Ding, G. W.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI),  2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"On paper\n   \n  \n  \n    \"On arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{SharmaIJCAI2019,\n  title={{On the Effectiveness of Low Frequency Perturbations}},\n  author={Yash Sharma and Gavin Weiguang Ding and Marcus A. Brubaker},\n  booktitle=IJCAI,\n  year={2019},\n  eprint={1903.00073},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_Paper={SharmaIJCAI2019.pdf},\n  url_arXiv={https://arxiv.org/abs/1903.00073}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Diachronic Embedding for Temporal Knowledge Graph Completion.\n  \n  \n  \n  \n\n\n  \n  Goel, R.; Kazemi, S. M.; Brubaker, M. A.;  and Poupart, P.\n\n\n  \n\n\n\n  In NeurIPS Workshop on Graph Representation Learning, December 2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Diachronic arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    3 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{GoelNIPSW2019,\n  author = {Rishab Goel and Seyed Mehran Kazemi and Marcus A. Brubaker and Pascal Poupart},\n  title = {{Diachronic Embedding for Temporal Knowledge Graph Completion}},\n  booktitle = {{NeurIPS Workshop on Graph Representation Learning}},\n  month = Dec,\n  year = {2019},\n  eprint={1907.03143},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/1907.03143},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Point Process Flows.\n  \n  \n  \n  \n\n\n  \n  Mehrasa, N.; Deng, R.; He, J.; Chang, B.; Durand, T.; Ahmed, M. O.; Brubaker, M. A.;  and Mori, G.\n\n\n  \n\n\n\n  In NeurIPS Workshop on Learning with Temporal Point Processes, December 2019. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Point arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    3 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{MehrasaNIPSW2019,\n  author = {Nazanin Mehrasa and Ruizhi Deng and Jiawei He and Bo Chang and Thibaut Durand and Mohamed Osama Ahmed and Marcus A. Brubaker and Greg Mori},\n  title = {{Point Process Flows}},\n  booktitle = {{NeurIPS Workshop on Learning with Temporal Point Processes}},\n  month = Dec,\n  year = {2019},\n  eprint={1910.08281},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_arXiv = {https://arxiv.org/abs/1910.08281},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Time2Vec: Learning a Vector Representation of Time.\n  \n  \n  \n  \n\n\n  \n  Kazemi, S. M.; Goel, R.; Eghbali, S.; Ramanan, J.; Sahota, J.; Thakur, S.; Wu, S.; Smyth, C.; Poupart, P.;  and Brubaker, M.\n\n\n  \n\n\n\n   2019.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Time2Vec: arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    6 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{Kazemi2019Time2Vec,\n    title={Time2Vec: Learning a Vector Representation of Time},\n    author={Seyed Mehran Kazemi and Rishab Goel and Sepehr Eghbali and Janahan Ramanan and Jaspreet Sahota and Sanjay Thakur and Stella Wu and Cathal Smyth and Pascal Poupart and Marcus Brubaker},\n    year={2019},\n    eprint={1907.05321},\n    archivePrefix={arXiv},\n    primaryClass={cs.LG},\n    url_arXiv = {https://arxiv.org/abs/1907.05321}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Two-Stream Convolutional Networks for Dynamic Texture Synthesis.\n  \n  \n  \n  \n\n\n  \n  Tesfaldet, M.; Brubaker, M. A.;  and Derpanis, K. G.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2018. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Two-Stream website\n   \n  \n  \n    \"Two-Stream paper\n   \n  \n  \n    \"Two-Stream arxiv\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{Tesfaldet2018,\n  author = {Matthew Tesfaldet and Marcus A. Brubaker and Konstantinos G. Derpanis},\n  title = {{Two-Stream Convolutional Networks for Dynamic Texture Synthesis}},\n  booktitle = CVPR,\n  year = {2018},\n  eprint={1706.06982},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_Website = {https://ryersonvisionlab.github.io/two-stream-projpage/},\n  url_Paper = {Tesfaldet2017.pdf},\n  url_arXiv = {http://arxiv.org/abs/1706.06982},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture.\n  \n  \n  \n  \n\n\n  \n  Livne, M.; Sigal, L.; Brubaker, M. A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Proceedings of the Conference on Computer and Robot Vision (CRV),  2018. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Walking arxiv\n   \n  \n  \n    \"Walking paper\n   \n  \n  \n    \"Walking supplemental\n   \n  \n  \n    \"Walking website\n   \n  \n  \n    \"Walking video\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{LivneCRV2018,\n  author = {Micha Livne and Leonid Sigal and Marcus A. Brubaker and David J. Fleet},\n  title = {{Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture}},\n  booktitle = CRV,\n  year = {2018},\n  eprint={1812.01203},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {http://arxiv.org/abs/1812.01203},\n  url_Paper = {LivneCRV2018.pdf},\n  url_Supplemental = {LivenCRV2018-Supplemental.pdf},\n  url_Website = {https://research.seraphlabs.ca/u-of-t/performance-capture/},\n  url_Video = {LivneCRV2018-Video.mp4}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Convolutional Photomosaic Generation via Multi-scale Perceptual Losses.\n  \n  \n  \n  \n\n\n  \n  Tesfaldet, M.; Saftarli, N.; Brubaker, M. A.;  and Derpanis, K. G.\n\n\n  \n\n\n\n  In ECCV Workshop on Computer Vision for Fashion, Art and Design,  2018. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Convolutional website\n   \n  \n  \n    \"Convolutional paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    4 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{TesfaldetECCVW2018,\n  title={{Convolutional Photomosaic Generation via Multi-scale Perceptual Losses}},\n  author={Matthew Tesfaldet and Nariman Saftarli and Marcus A. Brubaker and Konstantinos G. Derpanis},\n  booktitle={{ECCV Workshop on Computer Vision for Fashion, Art and Design}},\n  year={2018},\n  url_Website = {https://ryersonvisionlab.github.io/perceptual-photomosaic-projpage/},\n  url_Paper = {TesfaldetECCVW2018.pdf},\n} \n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Algorithmic Advances in Single Particle Cryo-EM Data Processing.\n  \n  \n  \n  \n\n\n  \n  Punjani, A.; Zhang, H.; Rubinstein, J.; Brubaker, M. A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  Microscopy and Microanalysis, 24(S1): 868-869.  2018.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Algorithmic paper\n   \n  \n\n  \n  \n    doi\n   \n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{PunjaniMM2018,\n  title={Algorithmic Advances in Single Particle Cryo-EM Data Processing},\n  volume={24},\n  DOI={10.1017/S143192761800483X},\n  number={S1},\n  journal={Microscopy and Microanalysis},\n  publisher={Cambridge University Press},\n  author={Ali Punjani and Haowei Zhang and John Rubinstein and Marcus A. Brubaker and David J. Fleet},\n  year={2018},\n  pages={868-869},\n  url_Paper = {https://www.cambridge.org/core/journals/microscopy-and-microanalysis/article/algorithmic-advances-in-single-particle-cryoem-data-processing/61EF1BBF379A76834B4347E8712A2E9A},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  On Learning Wire-Length Efficient Neural Networks.\n  \n  \n  \n\n\n  \n  Blake, C.; Wang, L.; Castiglione, G.; Srinivasa, C.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In NeurIPS 2018 Workshop on Compact Deep Neural Network Representation with Industrial Applications, December 2018. \n  \n\n\n\n
\n\n\n\n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BlakeNIPSW2018,\n  author = {Christopher Blake and Luyu Wang and Giuseppe Castiglione and Christopher Srinivasa and Marcus A. Brubaker},\n  title = {On Learning Wire-Length Efficient Neural Networks},\n  booktitle = {{NeurIPS 2018 Workshop on Compact Deep Neural Network Representation with Industrial Applications}},\n  month = Dec,\n  year = {2018},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    The Integral Cross-Discipline Approach to Pushing AI Research.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.\n\n\n  \n\n\n\n  techvibes.com. February 2018.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"ThePaper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{BrubakerTechVibes2018,\n  author = {Marcus A. Brubaker},\n  title = {{The Integral Cross-Discipline Approach to Pushing AI Research}},\n  journal = {techvibes.com},\n  month = Feb,\n  year = {2018},\n  url = {https://techvibes.com/2018/02/07/the-integral-cross-discipline-approach-to-pushing-ai-research}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination.\n  \n  \n  \n  \n\n\n  \n  Punjani, A.; Rubinstein, J. L.; Fleet, D. J.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  Nature Methods, 14(3): 290 – 296.  2017.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"cryoSPARC: preprint\n   \n  \n  \n    \"cryoSPARC: paper\n   \n  \n  \n    \"cryoSPARC: software\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{PunjaniNatureMethods2017,\n  author = {Ali Punjani and John L. Rubinstein and David J. Fleet and Marcus A. Brubaker},\n  title = {{cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination}},\n  journal = {{Nature Methods}},\n  year = {2017},\n  volume = {14},\n  number = {3},\n  pages = {{290 -- 296}},\n  url_Preprint = {PunjaniCryoSPARCNMeth2017.pdf},\n  url_Paper = {http://rdcu.be/o3Ac},\n  url_Software = {https://cryosparc.com},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Stan: A Probabilistic Programming Language.\n  \n  \n  \n  \n\n\n  \n  Carpenter, B.; Gelman, A.; Hoffman, M.; Lee, D.; Goodrich, B.; Betancourt, M.; Brubaker, M. A.; Guo, J.; Li, P.;  and Riddell, A.\n\n\n  \n\n\n\n  Journal of Statistical Software, 76(1).  2017.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Stan: paper\n   \n  \n  \n    \"Stan: website\n   \n  \n  \n    \"Stan: software\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{CarpenterJSS2017,\n  author = {Bob Carpenter and Andrew Gelman and Matt Hoffman and Daniel Lee and Ben Goodrich and Michael Betancourt and Marcus A. Brubaker and Jiqiang Guo and Peter Li and Allen Riddell},\n  title = {{Stan: A Probabilistic Programming Language}},\n  journal = {{Journal of Statistical Software}},\n  volume = {76},\n  number = {1},\n  year = {2017},\n  url_Paper = {CarpenterJSS2017.pdf},\n  url_Website = {https://www.jstatsoft.org/article/view/v076i01},\n  url_Software = {http://mc-stan.org},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Development and validation of a virtual examination tool for firearm forensics.\n  \n  \n  \n  \n\n\n  \n  Duez, P.; Weller, T.; Brubaker, M. A.; Hockensmith, R. E.;  and Lilien, R.\n\n\n  \n\n\n\n  Journal of Forensic Sciences.  2017.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Development paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{DuezJFS2017,\n  author = {Pierre Duez and Todd Weller and Marcus A. Brubaker and Richard E. Hockensmith and Ryan Lilien},\n  title = {Development and validation of a virtual examination tool for firearm forensics},\n  journal = {Journal of Forensic Sciences},\n  year = {2017},\n  url_Paper = {https://doi.org/10.1111/1556-4029.13668}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy.\n  \n  \n  \n  \n\n\n  \n  Punjani, A.; Brubaker, M. A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).  2017.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Building paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{BrubakerCryoEMPAMI2016,\n  author = {Ali Punjani and Marcus A. Brubaker and David J. Fleet},\n  title = {{Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy}},\n  journal = PAMI,\n  year = {2017},\n  url_Paper = {PunjaniCryoEMPAMI2016.pdf}\n}\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Find your Way by Observing the Sun and Other Semantic Cues.\n  \n  \n  \n  \n\n\n  \n  Ma, W.; Wang, S.; Brubaker, M. A.; Fidler, S.;  and Urtasun, R.\n\n\n  \n\n\n\n  In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA),  2017. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Find paper\n   \n  \n  \n    \"Find arxiv\n   \n  \n  \n    \"Find youtube\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{MaLost2ICRA2017,\n  author = {Wei-Chiu Ma and Shenlong Wang and Marcus A. Brubaker and Sanja Fidler and Raquel Urtasun},\n  title = {{Find your Way by Observing the Sun and Other Semantic Cues}},\n  booktitle = ICRA,\n  year = {2017},\n  eprint={1606.07415},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_Paper = {MaLost2ICRA2017.pdf},\n  url_arXiv = {http://arxiv.org/abs/1606.07415},\n  url_YouTube = {https://youtu.be/tOVWptik0qI}\n}\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Size and Texture-based Classification of Lung Tumors with 3D CNNs.\n  \n  \n  \n  \n\n\n  \n  Luo, Z. H.; Brubaker, M. A.;  and Brudno, M.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV),  2017. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Size paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{LuoLIDCWACV2017,\n  author = {Zhi Hao Luo and Marcus A. Brubaker and Michael Brudno},\n  title = {{Size and Texture-based Classification of Lung Tumors with 3D CNNs}},\n  booktitle = WACV,\n  year = {2017},\n  url_Paper = {LuoLIDCWACV2017.pdf}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Map-based Probabilistic Visual Self-Localization.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Geiger, A.;  and Urtasun, R.\n\n\n  \n\n\n\n  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).  2016.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Map-based paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{BrubakerLostPAMI2016,\n  author = {Marcus A. Brubaker and Andreas Geiger and Raquel Urtasun},\n  title = {{Map-based Probabilistic Visual Self-Localization}},\n  journal = PAMI,\n  year = {2016},\n  url_Paper = {BrubakerLostPAMI2016.pdf}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Sequential Inference for Deep Gaussian Process.\n  \n  \n  \n  \n\n\n  \n  Wang, Y.; Brubaker, M. A.; Chaib-draa, B.;  and Urtasun, R.\n\n\n  \n\n\n\n  In International Conference on Artificial Intelligence and Statistics (AISTATS),  2016. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Sequential paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{WangDeepGPAISTATS2016,\n  author = {Yali Wang and Marcus A. Brubaker and Brahim Chaib-draa and Raquel Urtasun},\n  title = {{Sequential Inference for Deep Gaussian Process}},\n  booktitle = AISTATS,\n  year = {2016},\n  url_Paper = {WangDeepGPAISTATS2016.pdf},\n}\n\n
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\n       \n      2015\n      \n        \n        (7)\n        \n      \n    
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\n  \n\n  \n  \n  \n  \n  \n  \n    Introduction and Initial Evaluation of a Novel Three-Dimensional Imaging and Analysis System for Firearm Forensics.\n  \n  \n  \n  \n\n\n  \n  Weller, T.; Brubaker, M. A.; Duez, P.;  and Lilien, R.\n\n\n  \n\n\n\n  Association of Firearm and Tool Mark Examiners (AFTE) Journal, 47(4): 198 – 208.  2015.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Introduction journal\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{WellerAFTEJournal2015,\n  author = {Todd Weller and Marcus A. Brubaker and Pierre Duez and Ryan Lilien},\n  title = {{Introduction and Initial Evaluation of a Novel Three-Dimensional Imaging and Analysis System for Firearm Forensics}},\n  journal = {{Association of Firearm and Tool Mark Examiners (AFTE) Journal}},\n  volume = {47},\n  number = {4},\n  pages = {198 -- 208},\n  year = {2015},\n  url_Journal = {https://afte.org/afte-journal}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Alignment of cryo-EM movies of individual particles by optimization of image translations.\n  \n  \n  \n  \n\n\n  \n  Rubinstein, J. L.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  Journal of Structural Biology, 192(2): 188 – 195.  2015.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Alignment arxiv\n   \n  \n  \n    \"Alignment paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{RubinsteinCryoEMAlignment2015,\n  author = {John L. Rubinstein and Marcus A. Brubaker},\n  title = {{Alignment of cryo-EM movies of individual particles by optimization of image translations}},\n  journal = {{Journal of Structural Biology}},\n  volume = {192},\n  number = {2},\n  pages = {188 -- 195},\n  year = {2015},\n  eprint={1409.6789},\n  archivePrefix={arXiv},\n  primaryClass={q-bio.QM},\n  url_arXiv = {http://arxiv.org/abs/1409.6789},\n  url_Paper = {http://dx.doi.org/10.1016/j.jsb.2015.08.007},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Description and comparison of algorithms for correcting anisotropic magnification in cryo-EM images.\n  \n  \n  \n  \n\n\n  \n  Zhao, J.; Brubaker, M. A.; Benlekbir, S.;  and Rubinstein, J. L.\n\n\n  \n\n\n\n  Journal of Structural Biology, 192(2): 209 – 215.  2015.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Description arxiv\n   \n  \n  \n    \"Description paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{ZhaoJSBAnisotropy2015,\n  title = {{Description and comparison of algorithms for correcting anisotropic magnification in cryo-EM images}},\n  author = {Jianhua  Zhao and Marcus A. Brubaker and Samir Benlekbir and John L. Rubinstein},\n  journal = {{Journal of Structural Biology}},\n  volume = {192},\n  number = {2},\n  pages = {209 -- 215},\n  year = {2015},\n  eprint={1501.05928},\n  archivePrefix={arXiv},\n  primaryClass={physics.ins-det},\n  url_arXiv = {http://arxiv.org/abs/1501.05928},\n  url_Paper = {http://dx.doi.org/10.1016/j.jsb.2015.06.014},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Efficient Optimization for Sparse Gaussian Process Regression.\n  \n  \n  \n  \n\n\n  \n  Cao, Y.; Brubaker, M. A.; Fleet, D. J.;  and Hertzmann, A.\n\n\n  \n\n\n\n  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 37(12): 2415 – 2427.  2015.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Efficient paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{Cao2015,\n  author = {Yanshuai Cao and Marcus A. Brubaker and David J. Fleet and Aaron Hertzmann},\n  title = {{Efficient Optimization for Sparse Gaussian Process Regression}},\n  journal = PAMI,\n  volume = {37},\n  number = {12},\n  pages = {2415 -- 2427},\n  year = {2015},\n  url_Paper = {Cao2015.pdf},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Building Proteins in a Day: Efficient 3D Molecular Reconstruction.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Punjani, A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2015. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Building paper\n   \n  \n  \n    \"Building arxiv\n   \n  \n  \n    \"Building extended abstract\n   \n  \n  \n    \"Building github\n   \n  \n  \n    \"Building presentation\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    10 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BrubakerCryoEMCVPR2015,\n  author = {Marcus A. Brubaker and Ali Punjani and David J. Fleet},\n  title = {{Building Proteins in a Day: Efficient 3D Molecular Reconstruction}},\n  booktitle = CVPR,\n  year = {2015},\n  eprint={1504.03573},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_Paper = {BrubakerCryoEMCVPR2015.pdf},\n  url_arXiv = {http://arxiv.org/abs/1504.03573},\n  url_Extended_Abstract = {BrubakerCryoEMCVPR2015-ExtAbs.pdf},\n  url_GitHub = {https://github.com/mbrubake/cryoem-cvpr2015},\n  url_Presentation = {http://techtalks.tv/talks/building-proteins-in-a-day-efficient-3d-molecular-reconstruction/61603/}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  Efficient 3D Macromolecular Reconstruction with Electron Cryomicroscopy.\n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Punjani, A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In BioImage Computing Workshop at IEEE Conference on Computer Vision and Pattern Recognition, June 2015. \n  \n\n\n\n
\n\n\n\n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BrubakerCryoEMBIC2015,\n  author = {Marcus A. Brubaker and Ali Punjani and David J. Fleet},\n  title = {{Efficient 3D Macromolecular Reconstruction with Electron Cryomicroscopy}},\n  booktitle = {{BioImage Computing Workshop at IEEE Conference on Computer Vision and Pattern Recognition}},\n  month = Jun,\n  year = {2015},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    The Stan Math Library: Reverse-Mode Automatic Differentiation in C++.\n  \n  \n  \n  \n\n\n  \n  Carpenter, B.; Hoffman, M. D.; Brubaker, M. A.; Lee, D.; Li, P.;  and Betancourt, M.\n\n\n  \n\n\n\n   2015.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"The arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@misc{CarpenterStanAD2015,\n  author = {Bob Carpenter and Matthew D. Hoffman and Marcus A. Brubaker and Daniel Lee and Peter Li and Michael Betancourt},\n  title = {{The Stan Math Library: Reverse-Mode Automatic Differentiation in C++}},\n  archivePrefix = "arXiv",\n  eprint = {1509.07164},\n  primaryClass = "cs.MS",\n  year = {2015},\n  url_arXiv = {http://arxiv.org/abs/1509.07164},\n}\n\n
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\n       \n      2014\n      \n        \n        (2)\n        \n      \n    
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\n  \n\n  \n  \n  \n  \n  \n  \n    Bayesian Filtering with Online Gaussian Process Latent Variable Models.\n  \n  \n  \n  \n\n\n  \n  Wang, Y.; Brubaker, M. A.; Chaib-draa, B.;  and Urtasun, R.\n\n\n  \n\n\n\n  In Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI),  2014. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Bayesian paper\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    1 download\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Wang2014,\n  author = {Yali Wang and Marcus A. Brubaker and Brahim Chaib-draa and Raquel Urtasun},\n  title = {{Bayesian Filtering with Online Gaussian Process Latent Variable Models}},\n  booktitle = UAI,\n  year = {2014},\n  url_Paper = {Wang2014.pdf},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM.\n  \n  \n  \n  \n\n\n  \n  Punjani, A.;  and Brubaker, M. A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems Workshop: Machine Learning in Computational Biology (MLCB), December 2014. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Microscopic arxiv\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    3 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BrubakerCryoEMNIPS2014,\n  author = {Ali Punjani and Marcus A. Brubaker},\n  title = {{Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM}},\n  booktitle = {{Neural Information Processing Systems Workshop: Machine Learning in Computational Biology (MLCB)}},\n  month = Dec,\n  year = {2014},\n  eprinttype={arxiv},\n  eprint = {1501.04656},\n  url_arXiv = {http://arxiv.org/abs/1501.04656},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    TMaCS: A hybrid template matching and classification system for partially-automated particle selection.\n  \n  \n  \n  \n\n\n  \n  Zhao, J.; Brubaker, M. A.;  and Rubinstein, J. L.\n\n\n  \n\n\n\n  Journal of Structural Biology, 181(3): 234 – 242.  2013.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"TMaCS: paper\n   \n  \n  \n    \"TMaCS: code\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    2 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@article{Zhao2013,\n  author = {Jianhua Zhao and Marcus A. Brubaker and John L. Rubinstein},\n  title = {{TMaCS: A hybrid template matching and classification system for partially-automated particle selection}},\n  journal = {Journal of Structural Biology},\n  volume = {181},\n  number = {3},\n  pages = {234 -- 242},\n  year = {2013},\n  url_Paper = {http://dx.doi.org/10.1016/j.jsb.2012.12.010},\n  url_Code = {http://www.sickkids.ca/Research/Rubinstein/Software/index.html},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Efficient Optimization for Sparse Gaussian Process Regression.\n  \n  \n  \n  \n\n\n  \n  Cao, Y.; Brubaker, M. A.; Hertzmann, A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Neural Information Processing Systems (NeurIPS),  2013. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Efficient paper\n   \n  \n  \n    \"Efficient arxiv\n   \n  \n  \n    \"Efficient website\n   \n  \n  \n    \"Efficient proceedings\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    6 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Cao2013,\n  author = {Yanshuai Cao and Marcus A. Brubaker and Aaron Hertzmann and David J. Fleet},\n  title = {{Efficient Optimization for Sparse Gaussian Process Regression}},\n  booktitle = NeurIPS,\n  year = {2013},\n  eprint={1310.6007},\n  archivePrefix={arXiv},\n  primaryClass={cs.LG},\n  url_Paper = {Cao2013.pdf},\n  url_arXiv = {http://arxiv.org/abs/1310.6007},\n  url_Website = {http://www.cs.toronto.edu/~caoy/opt_sgpr},\n  url_Proceedings = {http://papers.nips.cc/paper/5087-efficient-optimization-for-sparse-gaussian-process-regression}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Geiger, A.;  and Urtasun, R.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2013. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Lost! paper\n   \n  \n  \n    \"Lost! supplemental\n   \n  \n  \n    \"Lost! poster\n   \n  \n  \n    \"Lost! slides\n   \n  \n  \n    \"Lost! presentation\n   \n  \n  \n    \"Lost! video\n   \n  \n  \n    \"Lost! youtube\n   \n  \n  \n    \"Lost! website\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    16 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{Brubaker2013,\n  author = {Marcus A. Brubaker and Andreas Geiger and Raquel Urtasun},\n  title = {{Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization}},\n  booktitle = CVPR,\n  year = {2013},\n  url_Paper = {Brubaker2013.pdf},\n  url_Supplemental = {Brubaker2013-Supplemental.pdf},\n  url_Poster = {Brubaker2013-Poster.pdf},\n  url_Slides = {Brubaker2013-Slides.pdf},\n  url_Presentation = {http://techtalks.tv/talks/lost-leveraging-the-crowd-for-probabilistic-visual-self-localization/58677/},\n  url_Video = {Brubaker2013-Video.mp4},\n  url_YouTube = {http://youtu.be/4Z3shNPOdQA},\n  url_Website = {http://www.cs.toronto.edu/~mbrubake/projects/map},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Probabilistic Map Localization Through Visual Odometry.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Geiger, A.;  and Urtasun, R.\n\n\n  \n\n\n\n  In Proceedings of SUNw: Scene Understanding Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPRW),  2013. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Probabilistic paper\n   \n  \n  \n    \"Probabilistic workshop\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    4 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@INPROCEEDINGS{Brubaker2013WS,\n  author = {Marcus A. Brubaker  and Andreas Geiger and Raquel Urtasun},\n  title = {{Probabilistic Map Localization Through Visual Odometry}},\n  booktitle = {{Proceedings of SUNw: Scene Understanding Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPRW)}},\n  year = {2013},\n  url_Paper = {Brubaker2013WS.pdf},\n  url_Workshop = {http://sunw.csail.mit.edu/2013},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    A Family of MCMC Methods on Implicitly Defined Manifolds.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Salzmann, M.;  and Urtasun, R.\n\n\n  \n\n\n\n  In International Conference on Artificial Intelligence and Statistics (AISTATS),  2012. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"A paper\n   \n  \n  \n    \"A poster\n   \n  \n  \n    \"A website\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    26 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BrubakerAISTATS2012,\n  author = {Marcus A. Brubaker and Mathieu Salzmann and Raquel Urtasun},\n  title = {{A Family of {MCMC} Methods on Implicitly Defined Manifolds}},\n  booktitle = AISTATS,\n  year = {2012},\n  url_Paper = {BrubakerAISTATS2012.pdf},\n  url_Poster = {BrubakerAISTATS2012-Poster.pdf},\n  url_Website = {http://www.cs.toronto.edu/~mbrubake/projects/cmcmc}\n}\n\n
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\n       \n      2011\n      \n        \n        (1)\n        \n      \n    
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\n  \n\n  \n  \n  \n  \n  \n  \n    Physical Models of Human Motion for Estimation and Scene Analysis.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.\n\n\n  \n\n\n\n  Ph.D. Thesis, University of Toronto,  2011.\n  \n\n\n\n
\n\n\n\n  \n  \n    \"Physical thesis\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    12 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@PHDTHESIS{BrubakerPhD2011,\n  author = {Marcus A. Brubaker},\n  title = {{Physical Models of Human Motion for Estimation and Scene Analysis}},\n  school = {University of Toronto},\n  year = {2011},\n  url_Thesis = {PhDThesis.pdf}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Physics-based Person Tracking using the Anthropomorphic Walker.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Fleet, D. J.;  and Hertzmann, A.\n\n\n  \n\n\n\n  International Journal of Computer Vision (IJCV), 87(1): 140–155.  2010.\n  \n\n\n\n
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@article{BrubakerIJCV2010,\n  author = {Marcus A. Brubaker and David J. Fleet and Aaron Hertzmann},\n  title = {{Physics-based Person Tracking using the Anthropomorphic Walker}},\n  journal = IJCV,\n  volume = {87},\n  pages = {140--155},\n  number = {1},\n  year = {2010},\n  url_Paper = {BrubakerIJCV2010.pdf},\n  url_Website = {http://www.cs.toronto.edu/~mbrubake/permanent/awalker}\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    A Bayesian Method for 3-D Macromolecular Structure Inference using Class Average Images from Single Particle Electron Microscopy.\n  \n  \n  \n  \n\n\n  \n  Jaitly, N.; Brubaker, M. A.; Rubinstein, J.;  and Lilien, R. H.\n\n\n  \n\n\n\n  Bioinformatics, 26: 2406-2415.  2010.\n  \n\n\n\n
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@article{Jaitly2010,\n  author = {Navdeep Jaitly and Marcus A. Brubaker and John Rubinstein and Ryan H. Lilien},\n  title = {{A Bayesian Method for 3-D Macromolecular Structure Inference using Class Average Images from Single Particle Electron Microscopy}},\n  journal = {Bioinformatics},\n  year = {2010},\n  volume = {26},\n  pages = {2406-2415},\n  url_Paper = {http://bioinformatics.oxfordjournals.org/cgi/reprint/btq456?ijkey=TR5pnBrtbyXdqN6&keytype=ref},\n  url_Website = {http://compbio.cs.toronto.edu/cryoem/}\n}\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Estimating Contact Dynamics.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Sigal, L.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Proceedings of the International Conference on Computer Vision (ICCV),  2009. \n  \n\n\n\n
\n\n\n\n  \n  \n    \"Estimating paper\n   \n  \n  \n    \"Estimating mocapresults\n   \n  \n  \n    \"Estimating mocapyoutube\n   \n  \n  \n    \"Estimating videoresults\n   \n  \n  \n    \"Estimating videoyoutube\n   \n  \n\n  \n\n  \n  link\n   \n  \n\n  bibtex\n    \n\n  \n\n  \n   \n  \n    10 downloads\n  \n  \n\n  \n  \n  \n  \n  \n  \n  \n\n   \n  \n  \n\n\n\n
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@inproceedings{BrubakerICCV2009,\n  author = {Marcus A. Brubaker and Leonid Sigal and David J. Fleet},\n  title = {{Estimating Contact Dynamics}},\n  booktitle = ICCV,\n  year = {2009},\n  url_Paper = {BrubakerICCV2009.pdf},\n  url_MocapResults = {BrubakerICCV2009-MocapResults.avi},\n  url_MocapYouTube = {http://youtu.be/RbL0zx53DQg},\n  url_VideoResults = {BrubakerICCV2009-VideoResults.avi},\n  url_VideoYouTube = {http://youtu.be/NZ4U8oO--6M},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  A Bayesian method for 3D reconstruction of macromolecular structure using class averages from single particle electron microscopy.\n  \n  \n  \n\n\n  \n  Jaitly, N.; Brubaker, M. A.; Rubinstein, J.;  and Lilien, R.\n\n\n  \n\n\n\n  In Neural Information Processing Systems Workshop: Machine Learning in Computational Biology (MLCB), December 2009. \n  \n\n\n\n
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@inproceedings{Jaitly2009,\n  author = {Navdeep Jaitly and Marcus A. Brubaker and John Rubinstein and Ryan Lilien},\n  title = {{A Bayesian method for 3D reconstruction of macromolecular structure using class averages from single particle electron microscopy}},\n  booktitle = {Neural Information Processing Systems Workshop: Machine Learning in Computational Biology (MLCB)},\n  month = Dec,\n  year = {2009},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Video-based People Tracking.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Sigal, L.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Nakashima, H.; Aghajan, H.;  and Augusto, J., editor(s), Handbook on Ambient Intelligence and Smart Environments. Springer Verlag,  2009.\n  \n\n\n\n
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@incollection{BrubakerAISE2009,\n  author = {Marcus A. Brubaker and Leonid Sigal and David J. Fleet},\n  title = {{Video-based People Tracking}},\n  booktitle = {Handbook on Ambient Intelligence and Smart Environments},\n  publisher = {Springer Verlag},\n  editor = {H. Nakashima and H. Aghajan and J.C. Augusto},\n  year = {2009},\n  url_Paper = {BrubakerAISE2009.pdf},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  Physics-based Human Motion Modelling for people tracking: A short tutorial.\n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Sigal, L.;  and Fleet, D. J.\n\n\n  \n\n\n\n  Tutorial at IEEE International Conference of Computer Vision, Kyoto, Japan,  2009.\n  \n\n\n\n
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@misc{BrubakerICCVTut2009,\n  author = {Marcus A. Brubaker and Leonid Sigal and David J. Fleet},\n  title = {{Physics-based Human Motion Modelling for people tracking: A short tutorial}},\n  howpublished = {Tutorial at IEEE International Conference of Computer Vision, Kyoto,\n\tJapan},\n  year = {2009},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    The Kneed Walker for Human Pose Tracking.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.;  and Fleet, D. J.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2008. \n  \n\n\n\n
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@inproceedings{BrubakerCVPR2008,\n  author = {Marcus A. Brubaker and David J. Fleet},\n  title = {{The Kneed Walker for Human Pose Tracking}},\n  booktitle = CVPR,\n  year = {2008},\n  url_Paper = {BrubakerCVPR2008.pdf},\n  url_Video = {BrubakerCVPR2008-Results.avi},\n  url_YouTube = {http://youtu.be/-rUM4ZxCD0I},\n}\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Physics-based person tracking using simplified lower-body dynamics.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Fleet, D. J.;  and Hertzmann, A.\n\n\n  \n\n\n\n  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2007. \n  \n\n\n\n
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@inproceedings{Brubaker2007,\n  author = {Marcus A. Brubaker and David J. Fleet and Aaron Hertzmann},\n  title = {Physics-based person tracking using simplified lower-body dynamics},\n  booktitle = CVPR,\n  year = {2007},\n  url_Paper = {BrubakerCVPR2007.pdf},\n  url_Video = {BrubakerCVPR2007-Results.avi},\n  url_YouTube = {http://youtu.be/IZhl9Fo7eUI},\n}\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  Physics-based Human Pose Tracking.\n  \n  \n  \n\n\n  \n  Brubaker, M. A.; Fleet, D. J.;  and Hertzmann, A.\n\n\n  \n\n\n\n  In Neural Information Processing Systems Workshop: Evaluation of Articulated Human Motion and Pose Estimation (EHuM), December 2006. \n  \n\n\n\n
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@inproceedings{Brubaker2006,\n  author = {Marcus A. Brubaker and David J. Fleet and Aaron Hertzmann},\n  title = {{Physics-based Human Pose Tracking}},\n  booktitle = {Neural Information Processing Systems Workshop: Evaluation of Articulated Human Motion and Pose Estimation (EHuM)},\n  month = Dec,\n  year = {2006},\n}\n\n\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Physics-Based Priors for Human Pose Tracking.\n  \n  \n  \n  \n\n\n  \n  Brubaker, M. A.\n\n\n  \n\n\n\n  Master's thesis, University of Toronto,  2006.\n  \n\n\n\n
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@MASTERSTHESIS{BrubakerMSc2006,\n  author = {Marcus A. Brubaker},\n  title = {Physics-Based Priors for Human Pose Tracking},\n  school = {University of Toronto},\n  year = {2006},\n  url_Thesis = {MScThesis.pdf}\n}\n\n\n
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