360Anything: Geometry-Free Lifting of Images and Videos to 360°. - Wu, Ziyi; Watson, Daniel; Tagliasacchi, Andrea; Fleet, David J.; Brubaker, Marcus A.; Saxena, Saurabh (CoRR, 2026)

Efficient Neural Network Encoding for 3D Color Lookup Tables. - Zehtab, Vahid; Lindell, David B.; Brubaker, Marcus A.; Brown, Michael S. (2025)

Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control. - Fadaeinejad, Amin; Dib, Abdallah; Hafemann, Luiz Gustavo; Got, Emeline; Anderson, Trevor; Depierre, Amaury; Troje, Nikolaus F.; Brubaker, Marcus A.; Carbonneau, Marc-André (2025)

Amortized In-Context Bayesian Posterior Estimation. - Mittal, Sarthak; Bracher, Niels; Lajoie, Guillaume; Jaini, Priyank; Brubaker, Marcus A. (CoRR, 2025)

Geometry-Aware Diffusion Models for Multiview Scene Inpainting. - Salimi, Ahmad; Aumentado-Armstrong, Tristan; Brubaker, Marcus A.; Derpanis, Konstantinos G. (CoRR, 2025)

Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis. - Forghani, Fereshteh; Yu, Jason J.; Aumentado-Armstrong, Tristan; Derpanis, Konstantinos G.; Brubaker, Marcus A. (CoRR, 2025)

Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control. - Fadaeinejad, Amin; Dib, Abdallah; Hafemann, Luiz Gustavo; Got, Emeline; Anderson, Trevor; Depierre, Amaury; Troje, Nikolaus F.; Brubaker, Marcus A.; Carbonneau, Marc-André (CoRR, 2025)

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery. - Shekarforoush, Shayan; Lindell, David B.; Brubaker, Marcus A.; Fleet, David J. (CoRR, 2025)

Non-parametric Sensor Noise Modeling and Synthesis. - Mosleh, Ali; Zhao, Luxi; Singh, Atin; Han, Jaeduk; Punnappurath, Abhijith; Brubaker, Marcus A.; Choe, Jihwan; Brown, Michael S. (2024)

Watch Your Steps: Local Image and Scene Editing by Text Instructions. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Brubaker, Marcus A.; Kelly, Jonathan; Levinshtein, Alex; Derpanis, Konstantinos G.; Gilitschenski, Igor (2024)

PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis. - Yu, Jason J.; Aumentado-Armstrong, Tristan; Forghani, Fereshteh; Derpanis, Konstantinos G.; Brubaker, Marcus A. (2024)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shekarforoush, Shayan; Lindell, David B.; Brubaker, Marcus A.; Fleet, David J. (2024)

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis. - Yu, Jason J.; Aumentado-Armstrong, Tristan; Forghani, Fereshteh; Derpanis, Konstantinos G.; Brubaker, Marcus A. (CoRR, 2024)

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. - Shekarforoush, Shayan; Lindell, David B.; Brubaker, Marcus A.; Fleet, David J. (CoRR, 2024)

RoMo: Robust Motion Segmentation Improves Structure from Motion. - Goli, Lily; Sabour, Sara; Matthews, Mark J.; Brubaker, Marcus A.; Lagun, Dmitry; Jacobson, Alec; Fleet, David J.; Saxena, Saurabh; Tagliasacchi, Andrea (CoRR, 2024)

Efficient Neural Network Encoding for 3D Color Lookup Tables. - Zehtab, Vahid; Lindell, David B.; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2024)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Derpanis, Konstantinos G.; Kelly, Jonathan; Brubaker, Marcus A.; Gilitschenski, Igor; Levinshtein, Alex (2023)

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. - Yu, Jason J.; Forghani, Fereshteh; Derpanis, Konstantinos G.; Brubaker, Marcus A. (2023)

Reference-guided Controllable Inpainting of Neural Radiance Fields. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Brubaker, Marcus A.; Kelly, Jonathan; Levinshtein, Alex; Derpanis, Konstantinos G.; Gilitschenski, Igor (2023)

Reference-guided Controllable Inpainting of Neural Radiance Fields. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Brubaker, Marcus A.; Kelly, Jonathan; Levinshtein, Alex; Derpanis, Konstantinos G.; Gilitschenski, Igor (CoRR, 2023)

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. - Yu, Jason J.; Forghani, Fereshteh; Derpanis, Konstantinos G.; Brubaker, Marcus A. (CoRR, 2023)

Watch Your Steps: Local Image and Scene Editing by Text Instructions. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Brubaker, Marcus A.; Kelly, Jonathan; Levinshtein, Alex; Derpanis, Konstantinos G.; Gilitschenski, Igor (CoRR, 2023)

Dual-Camera Joint Deblurring-Denoising. - Shekarforoush, Shayan; Walia, Amanpreet; Brubaker, Marcus A.; Derpanis, Konstantinos G.; Levinshtein, Alex (CoRR, 2023)

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. - Aumentado-Armstrong, Tristan; Mirzaei, Ashkan; Brubaker, Marcus A.; Kelly, Jonathan; Levinshtein, Alex; Derpanis, Konstantinos G.; Gilitschenski, Igor (CoRR, 2023)

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. - Toader, Bogdan; Brubaker, Marcus A.; Lederman, Roy R. (CoRR, 2023)

Efficient CDF Approximations for Normalizing Flows. - Sastry, Chandramouli Shama; Lehrmann, Andreas M.; Brubaker, Marcus A.; Radovic, Alexander (Trans. Mach. Learn. Res., 2022)

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. - Brofos, James A.; Gabrié, Marylou; Brubaker, Marcus A.; Lederman, Roy R. (2022)

Modeling sRGB Camera Noise with Normalizing Flows. - Kousha, Shayan; Maleky, Ali; Brown, Michael S.; Brubaker, Marcus A. (2022)

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. - Maleky, Ali; Kousha, Shayan; Brown, Michael S.; Brubaker, Marcus A. (2022)

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. - Nam, Seonghyeon; Punnappurath, Abhijith; Brubaker, Marcus A.; Brown, Michael S. (2022)

Neural Image Representations for Multi-image Fusion and Layer Separation. - Nam, Seonghyeon; Brubaker, Marcus A.; Brown, Michael S. (2022)

Residual Multiplicative Filter Networks for Multiscale Reconstruction. - Shekarforoush, Shayan; Lindell, David B.; Fleet, David J.; Brubaker, Marcus A. (2022)

Auto White-Balance Correction for Mixed-Illuminant Scenes. - Afifi, Mahmoud; Brubaker, Marcus A.; Brown, Michael S. (2022)

Efficient CDF Approximations for Normalizing Flows. - Sastry, Chandramouli Shama; Lehrmann, Andreas M.; Brubaker, Marcus A.; Radovic, Alexander (CoRR, 2022)

Residual Multiplicative Filter Networks for Multiscale Reconstruction. - Shekarforoush, Shayan; Lindell, David B.; Fleet, David J.; Brubaker, Marcus A. (CoRR, 2022)

Modeling sRGB Camera Noise with Normalizing Flows. - Kousha, Shayan; Maleky, Ali; Brown, Michael S.; Brubaker, Marcus A. (CoRR, 2022)

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. - Maleky, Ali; Kousha, Shayan; Brown, Michael S.; Brubaker, Marcus A. (CoRR, 2022)

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. - Nam, Seonghyeon; Punnappurath, Abhijith; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2022)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. - Mirzaei, Ashkan; Aumentado-Armstrong, Tristan; Derpanis, Konstantinos G.; Kelly, Jonathan; Brubaker, Marcus A.; Gilitschenski, Igor; Levinshtein, Alex (CoRR, 2022)

Normalizing Flows: An Introduction and Review of Current Methods. - Kobyzev, Ivan; Prince, Simon J. D.; Brubaker, Marcus A. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. - Afifi, Mahmoud; Brubaker, Marcus A.; Brown, Michael S. (2021)

Continuous Latent Process Flows. - Deng, Ruizhi; Brubaker, Marcus A.; Mori, Greg; Lehrmann, Andreas M. (2021)

Manifold Density Estimation via Generalized Dequantization. - Brofos, James A.; Brubaker, Marcus A.; Lederman, Roy R. (CoRR, 2021)

CAMS: Color-Aware Multi-Style Transfer. - Afifi, Mahmoud; Abuolaim, Abdullah; Hussien, Mostafa; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2021)

Continuous Latent Process Flows. - Deng, Ruizhi; Brubaker, Marcus A.; Mori, Greg; Lehrmann, Andreas M. (CoRR, 2021)

Zero-shot Learning with Class Description Regularization. - Kousha, Shayan; Brubaker, Marcus A. (CoRR, 2021)

Neural Image Representations for Multi-Image Fusion and Layer Separation. - Nam, Seonghyeon; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2021)

Auto White-Balance Correction for Mixed-Illuminant Scenes. - Afifi, Mahmoud; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2021)

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. - Ghorbani, Saeed; Wloka, Calden; Etemad, Ali; Brubaker, Marcus A.; Troje, Nikolaus F. (Comput. Graph. Forum, 2020)

Diachronic Embedding for Temporal Knowledge Graph Completion. - Goel, Rishab; Kazemi, Seyed Mehran; Brubaker, Marcus A.; Poupart, Pascal (2020)

Tails of Lipschitz Triangular Flows. - Jaini, Priyank; Kobyzev, Ivan; Yu, Yaoliang; Brubaker, Marcus A. (2020)

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. - Deng, Ruizhi; Chang, Bo; Brubaker, Marcus A.; Mori, Greg; Lehrmann, Andreas M. (2020)

Wavelet Flow: Fast Training of High Resolution Normalizing Flows. - Yu, Jason J.; Derpanis, Konstantinos G.; Brubaker, Marcus A. (2020)

Variational Hyper RNN for Sequence Modeling. - Deng, Ruizhi; Cao, Yanshuai; Chang, Bo; Sigal, Leonid; Mori, Greg; Brubaker, Marcus A. (CoRR, 2020)

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. - Deng, Ruizhi; Chang, Bo; Brubaker, Marcus A.; Mori, Greg; Lehrmann, Andreas M. (CoRR, 2020)

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. - Ghorbani, Saeed; Wloka, Calden; Etemad, Ali; Brubaker, Marcus A.; Troje, Nikolaus F. (CoRR, 2020)

Wavelet Flow: Fast Training of High Resolution Normalizing Flows. - Yu, Jason J.; Derpanis, Konstantinos G.; Brubaker, Marcus A. (CoRR, 2020)

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. - Afifi, Mahmoud; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2020)

HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection. - Masoumzadeh, Abbas; Brubaker, Marcus A. (2019)

Noise Flow: Noise Modeling With Conditional Normalizing Flows. - Abdelhamed, Abdelrahman; Brubaker, Marcus A.; Brown, Michael S. (2019)

On the Effectiveness of Low Frequency Perturbations. - Sharma, Yash; Ding, Gavin Weiguang; Brubaker, Marcus A. (2019)

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. - Ullrich, Karen; Berg, Rianne van den; Brubaker, Marcus A.; Fleet, David J.; Welling, Max (2019)

On the Effectiveness of Low Frequency Perturbations. - Sharma, Yash; Ding, Gavin Weiguang; Brubaker, Marcus A. (CoRR, 2019)

Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. - Ullrich, Karen; Berg, Rianne van den; Brubaker, Marcus A.; Fleet, David J.; Welling, Max (CoRR, 2019)

Diachronic Embedding for Temporal Knowledge Graph Completion. - Goel, Rishab; Kazemi, Seyed Mehran; Brubaker, Marcus A.; Poupart, Pascal (CoRR, 2019)

Tails of Triangular Flows. - Jaini, Priyank; Kobyzev, Ivan; Brubaker, Marcus A.; Yu, Yaoliang (CoRR, 2019)

Time2Vec: Learning a Vector Representation of Time. - Kazemi, Seyed Mehran; Goel, Rishab; Eghbali, Sepehr; Ramanan, Janahan; Sahota, Jaspreet; Thakur, Sanjay; Wu, Stella; Smyth, Cathal; Poupart, Pascal; Brubaker, Marcus A. (CoRR, 2019)

Noise Flow: Noise Modeling with Conditional Normalizing Flows. - Abdelhamed, Abdelrahman; Brubaker, Marcus A.; Brown, Michael S. (CoRR, 2019)

Normalizing Flows: Introduction and Ideas. - Kobyzev, Ivan; Prince, Simon; Brubaker, Marcus A. (CoRR, 2019)

Parity Partition Coding for Sharp Multi-Label Classification. - Blake, Christopher G.; Castiglione, Giuseppe; Srinivasa, Christopher; Brubaker, Marcus A. (CoRR, 2019)

Point Process Flows. - Mehrasa, Nazanin; Deng, Ruizhi; Ahmed, Mohamed Osama; Chang, Bo; He, Jiawei; Durand, Thibaut; Brubaker, Marcus A.; Mori, Greg (CoRR, 2019)

Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. - Livne, Micha; Sigal, Leonid; Brubaker, Marcus A.; Fleet, David J. (2018)

Two-Stream Convolutional Networks for Dynamic Texture Synthesis. - Tesfaldet, Matthew; Brubaker, Marcus A.; Derpanis, Konstantinos G. (2018)

Convolutional Photomosaic Generation via Multi-scale Perceptual Losses. - Tesfaldet, Matthew; Saftarli, Nariman; Brubaker, Marcus A.; Derpanis, Konstantinos G. (2018)

Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. - Livne, Micha; Sigal, Leonid; Brubaker, Marcus A.; Fleet, David J. (CoRR, 2018)

Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy. - Punjani, Ali; Brubaker, Marcus A.; Fleet, David J. (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Find your way by observing the sun and other semantic cues. - Ma, Wei-Chiu; Wang, Shenlong; Brubaker, Marcus A.; Fidler, Sanja; Urtasun, Raquel (2017)

Size and Texture-Based Classification of Lung Tumors with 3D CNNs. - Luo, Zhihao; Brubaker, Marcus A.; Brudno, Michael (2017)

Two-Stream Convolutional Networks for Dynamic Texture Synthesis. - Tesfaldet, Matthew; Brubaker, Marcus A.; Derpanis, Konstantinos G. (CoRR, 2017)

Map-Based Probabilistic Visual Self-Localization. - Brubaker, Marcus A.; Geiger, Andreas; Urtasun, Raquel (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Sequential Inference for Deep Gaussian Process. - Wang, Yali; Brubaker, Marcus A.; Chaib-draa, Brahim; Urtasun, Raquel (2016)

Find your Way by Observing the Sun and Other Semantic Cues. - Ma, Wei-Chiu; Wang, Shenlong; Brubaker, Marcus A.; Fidler, Sanja; Urtasun, Raquel (CoRR, 2016)

Efficient Optimization for Sparse Gaussian Process Regression. - Cao, Yanshuai; Brubaker, Marcus A.; Fleet, David J.; Hertzmann, Aaron (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Building proteins in a day: Efficient 3D molecular reconstruction. - Brubaker, Marcus A.; Punjani, Ali; Fleet, David J. (2015)

Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM. - Punjani, Ali; Brubaker, Marcus A. (CoRR, 2015)

Building Proteins in a Day: Efficient 3D Molecular Reconstruction. - Brubaker, Marcus A.; Punjani, Ali; Fleet, David J. (CoRR, 2015)

The Stan Math Library: Reverse-Mode Automatic Differentiation in C++. - Carpenter, Bob; Hoffman, Matthew D.; Brubaker, Marcus A.; Lee, Daniel D.; Li, Peter; Betancourt, Michael (CoRR, 2015)

Bayesian Filtering with Online Gaussian Process Latent Variable Models. - Wang, Yali; Brubaker, Marcus A.; Chaib-draa, Brahim; Urtasun, Raquel (2014)

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. - Brubaker, Marcus A.; Geiger, Andreas; Urtasun, Raquel (2013)

Efficient Optimization for Sparse Gaussian Process Regression. - Cao, Yanshuai; Brubaker, Marcus A.; Fleet, David J.; Hertzmann, Aaron (2013)

Efficient Optimization for Sparse Gaussian Process Regression. - Cao, Yanshuai; Brubaker, Marcus A.; Fleet, David J.; Hertzmann, Aaron (CoRR, 2013)

Physical Models of Human Motion for Estimation and Scene Analysis. - Brubaker, Marcus A. (2012)

A Family of MCMC Methods on Implicitly Defined Manifolds. - Brubaker, Marcus A.; Salzmann, Mathieu; Urtasun, Raquel (2012)

A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy. - Jaitly, Navdeep; Brubaker, Marcus A.; Rubinstein, John L.; Lilien, Ryan H. (Bioinform., 2010)

Physics-Based Person Tracking Using the Anthropomorphic Walker. - Brubaker, Marcus A.; Fleet, David J.; Hertzmann, Aaron (Int. J. Comput. Vis., 2010)

Video-Based People Tracking. - Brubaker, Marcus A.; Sigal, Leonid; Fleet, David J. (2010)

Estimating contact dynamics. - Brubaker, Marcus A.; Sigal, Leonid; Fleet, David J. (2009)

The Kneed Walker for human pose tracking. - Brubaker, Marcus A.; Fleet, David J. (2008)

Physics-Based Person Tracking Using Simplified Lower-Body Dynamics. - Brubaker, Marcus A.; Fleet, David J.; Hertzmann, Aaron (2007)