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\n \n 2024\n \n \n (4)\n \n \n
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\n\n \n \n \n \n \n \n PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis.\n \n \n \n \n\n\n \n Yu, J. J.; Aumentado-Armstrong, T.; Forghani, F.; Derpanis, K. G.; and Brubaker, M. A.\n\n\n \n\n\n\n In
Proceedings of the European Conference on Computer Vision (ECCV), 2024. \n
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@inproceedings{Yu2024PolyOculus,\n title={PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis}, \n author={Jason J. Yu and Tristan Aumentado-Armstrong and Fereshteh Forghani and Konstantinos G. Derpanis and Marcus A. Brubaker},\n year={2024},\n booktitle=ECCV,\n eprint={2402.17986},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2402.17986}, \n}\n\n
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\n\n \n \n \n \n \n \n Watch Your Steps: Local Image and Scene Editing by Text Instructions.\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 European Conference on Computer Vision (ECCV), 2024. \n
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@inproceedings{Mirzaei2023WatchYourSteps,\n title={Watch Your Steps: Local Image and Scene Editing by Text Instructions}, \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={2024},\n booktitle=ECCV,\n eprint={2308.08947},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2308.08947}, \n}\n\n
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\n\n \n \n \n \n \n Non-parametric Sensor Noise Modeling and Synthesis.\n \n \n \n\n\n \n Mosleh, A.; Zhao, L.; Han, A. S. J.; Punnappurath, A.; Brubaker, M. A.; Choe, J.; and Brown, M. S.\n\n\n \n\n\n\n In
Proceedings of the European Conference on Computer Vision (ECCV), 2024. \n
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@inproceedings{Mosleh2024NonparametricNoise,\n title={Non-parametric Sensor Noise Modeling and Synthesis},\n author={Ali Mosleh and Luxi Zhao and Atin Singh Jaeduk Han and Abhijith Punnappurath and Marcus A. Brubaker and Jihwan Choe and Michael S. Brown},\n year={2024},\n booktitle=ECCV,\n}\n \n
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\n\n \n \n \n \n \n \n Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.\n \n \n \n \n\n\n \n Shekarforoush, S.; Lindell, D. B.; Brubaker, M. A.; and Fleet, D. J.\n\n\n \n\n\n\n 2024.\n
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@misc{Shekarforoush2024ImprovingAbinitioCryoEM,\n title={Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference}, \n author={Shayan Shekarforoush and David B. Lindell and Marcus A. Brubaker and David J. Fleet},\n year={2024},\n eprint={2406.10455},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2406.10455}, \n}\n\n
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\n \n 2023\n \n \n (9)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 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
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\n\n \n \n \n \n \n \n Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.\n \n \n \n \n\n\n \n Toader, B.; Brubaker, M. A.; and Lederman, R. R.\n\n\n \n\n\n\n 2023.\n
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@misc{Toader2023EfficientCryoEM,\n title={Efficient high-resolution refinement in cryo-EM with stochastic gradient descent}, \n author={Bogdan Toader and Marcus A. Brubaker and Roy R. Lederman},\n year={2023},\n eprint={2311.16100},\n archivePrefix={arXiv},\n primaryClass={math.NA},\n url={https://arxiv.org/abs/2311.16100}, \n}\n\n
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\n\n \n \n \n \n \n \n Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations.\n \n \n \n \n\n\n \n Aumentado-Armstrong, T.; Mirzaei, A.; Brubaker, M. A.; Kelly, J.; Levinshtein, A.; Derpanis, K. G.; and Gilitschenski, I.\n\n\n \n\n\n\n 2023.\n
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@misc{AumentadoArmstrong2023LatentNeRF,\n title={Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations}, \n author={Tristan Aumentado-Armstrong and Ashkan Mirzaei and Marcus A. Brubaker and Jonathan Kelly and Alex Levinshtein and Konstantinos G. Derpanis and Igor Gilitschenski},\n year={2023},\n eprint={2310.17880},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2310.17880}, \n}\n\n
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\n\n \n \n \n \n \n \n Dual-Camera Joint Deblurring-Denoising.\n \n \n \n \n\n\n \n Shekarforoush, S.; Walia, A.; Brubaker, M. A.; Derpanis, K. G.; and Levinshtein, A.\n\n\n \n\n\n\n 2023.\n
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@misc{Shekarforoush2023DualCamera,\n title={Dual-Camera Joint Deblurring-Denoising}, \n author={Shayan Shekarforoush and Amanpreet Walia and Marcus A. Brubaker and Konstantinos G. Derpanis and Alex Levinshtein},\n year={2023},\n eprint={2309.08826},\n archivePrefix={arXiv},\n primaryClass={cs.CV},\n url={https://arxiv.org/abs/2309.08826}, \n}\n\n
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\n \n 2022\n \n \n (9)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 2018\n \n \n (6)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 2017\n \n \n (6)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 \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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 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
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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 2013\n \n \n (4)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 2012\n \n \n (1)\n \n \n
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\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
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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 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
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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 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
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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 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
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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 2009\n \n \n (4)\n \n \n
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\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
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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 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
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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 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
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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 2008\n \n \n (1)\n \n \n
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\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
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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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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. \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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Neural Information Processing Systems Workshop: Evaluation of Articulated Human Motion and Pose Estimation (EHuM), December 2006. \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 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
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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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