Katherine L. Bouman

79 papers A* 16A 1B 1Misc 4Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields. CoRR Berthy T. Feng, Andrew A. Chael, David Bromley, Aviad Levis, William T. Freeman, Katherine L. Bouman
2026	J	`jnl`	Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models. CoRR Diego Royo, Brandon Zhao, Adolfo Muñoz, Diego Gutierrez, Katherine L. Bouman
2026	J	`jnl`	POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery. CoRR Zihui Wu, Liam Connor, Samuel McCarty, Katherine L. Bouman
2026	J	`jnl`	Sample-efficient evidence estimation of score based priors for model selection. CoRR Frederic Wang, Katherine L. Bouman
2026	J	`jnl`	U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction. CoRR Ayush Varshney, Katherine L. Bouman, Berthy T. Feng
2025	J	`jnl`	2025 IEEE Signal Processing Society Awards [Society News]. IEEE Signal Process. Mag. Michaël Unser, Dong Yu, Barry D. Van Veen, K. V. S. Hari, John G. Apostolopoulos, Daniel P. W. Ellis, Santiago Segarra, Katherine L. Bouman, Hongkang Li, Nicholas Chimitt, Burak Varici
2025	J	`jnl`	ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. CoRR Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye
2025	J	`jnl`	Exoplanet Detection via Differentiable Rendering. CoRR Brandon Y. Feng, Rodrigo Ferrer Chávez, Aviad Levis, Jason Jinfei Wang, Katherine L. Bouman, William T. Freeman
2025	J	`jnl`	Exoplanet Imaging via Differentiable Rendering. IEEE Trans. Computational Imaging Brandon Y. Feng, Rodrigo Ferrer Chávez, Aviad Levis, Jason Jinfei Wang, Katherine L. Bouman, William T. Freeman
2025	A*	`conf`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. ICLR Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025	J	`jnl`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. CoRR Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025	A*	`conf`	Neural Approximate Mirror Maps for Constrained Diffusion Models. ICLR Berthy Feng, Ricardo Baptista, Katherine L. Bouman
2025	J	`jnl`	Revealing Fine Structure in Protoplanetary Disks with Physics Constrained Neural Fields. CoRR Aviad Levis, Nhan Luong, Richard Teague, Katherine L. Bouman, Marcelo Barraza-Alfaro, Kevin R. Flaherty
2025	A*	`conf`	Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields. ICLR Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman
2025	J	`jnl`	Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields. CoRR Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman
2025	J	`jnl`	STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors. CoRR Bingliang Zhang, Zihui Wu, Berthy T. Feng, Yang Song, Yisong Yue, Katherine L. Bouman
2025	J	`jnl`	Teaching Humans Subtle Differences with DIFFusion. CoRR Mia Chiquier, Orr Avrech, Yossi Gandelsman, Berthy Feng, Katherine L. Bouman, Carl Vondrick
2025	J	`jnl`	Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves. CoRR Alexander C. Ogren, Berthy T. Feng, Jihoon Ahn, Katherine L. Bouman, Chiara Daraio
2024	J	`jnl`	Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors. CoRR Berthy T. Feng, Katherine L. Bouman, William T. Freeman
2024	Misc	`conf`	Imaging An Evolving Black Hole By Leveraging Shared Structure. ICASSP Yvette Y. Lin, Angela F. Gao, Katherine L. Bouman
2024	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2024	J	`jnl`	Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman
2024	A*	`conf`	Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. NeurIPS Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024	J	`jnl`	Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. CoRR Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
2024	J	`jnl`	Provable Probabilistic Imaging Using Score-Based Generative Priors. IEEE Trans. Computational Imaging Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
2024	J	`jnl`	Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction. CoRR Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
2024	Misc	`conf`	Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction. ICASSP Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
2024	J	`jnl`	Seeing Beyond the Blur with Generative AI. XRDS Berthy Feng, Katherine L. Bouman
2024	A*	`conf`	Single View Refractive Index Tomography with Neural Fields. CVPR Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman
2024	J	`jnl`	Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior. Trans. Mach. Learn. Res. Berthy Feng, Katherine L. Bouman
2023	J	`jnl`	Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023	J	`jnl`	Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior. CoRR Berthy T. Feng, Katherine L. Bouman
2023	J	`jnl`	Ill-Posed Image Reconstruction Without an Image Prior. CoRR Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023	Misc	`conf`	Image Reconstruction without Explicit Priors. ICASSP Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2023	J	`jnl`	Image Reconstruction without Explicit Priors. CoRR Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2023	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. CoRR Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2023	J	`jnl`	Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole. CoRR Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan
2023	J	`jnl`	Provable Probabilistic Imaging using Score-Based Generative Priors. CoRR Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
2023	A*	`conf`	Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
2023	J	`jnl`	Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
2023	J	`jnl`	Single View Refractive Index Tomography with Neural Fields. CoRR Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman
2022	A*	`conf`	Gravitationally Lensed Black Hole Emission Tomography. CVPR Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman
2022	J	`jnl`	Gravitationally Lensed Black Hole Emission Tomography. CoRR Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman
2022	A*	`conf`	Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. ICRA Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2022	J	`jnl`	Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2022	A*	`conf`	Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CVPR Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman
2022	J	`jnl`	alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction. CoRR He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt, Dimitri Mawet
2021	A*	`conf`	Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. AAAI He Sun, Katherine L. Bouman
2021	A*	`conf`	DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman
2021	J	`jnl`	End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	—	`conf`	End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	A*	`conf`	Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements. ICCV Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman
2021	A	`conf`	Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. IROS Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
2021	J	`jnl`	Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. CoRR Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
2021	J	`jnl`	Unsupervised learning of MRI tissue properties using MRI physics models. CoRR Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca
2021	J	`jnl`	Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CoRR Berthy Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman
2020	J	`jnl`	Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. CoRR He Sun, Katherine L. Bouman
2020	B	`conf`	Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP He Sun, Adrian V. Dalca, Katherine L. Bouman
2020	J	`jnl`	Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR He Sun, Adrian V. Dalca, Katherine L. Bouman
2019	J	`jnl`	Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2019	J	`jnl`	Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
2018	J	`jnl`	Medical Image Imputation from Image Collections. CoRR Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2018	J	`jnl`	Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. IEEE Trans. Computational Imaging Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
2018	J	`jnl`	Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. CoRR Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
2017	—	`conf`	Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy. CVPR Workshops Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman
2017	—	`conf`	Population Based Image Imputation. IPMI Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2017	J	`jnl`	Reconstructing Video from Interferometric Measurements of Time-Varying Sources. CoRR Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
2017	A*	`conf`	Turning Corners into Cameras: Principles and Methods. ICCV Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman
2017	J	`jnl`	Visual Vibrometry: Estimating Material Properties from Small Motions in Video. IEEE Trans. Pattern Anal. Mach. Intell. Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman
2016	A*	`conf`	Computational Imaging for VLBI Image Reconstruction. CVPR Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
2016	J	`jnl`	Multi-resolution Data Fusion for Super-Resolution Electron Microscopy. CoRR Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman
2016	—	`conf`	Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. NIPS Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman
2016	J	`jnl`	Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. CoRR Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
2015	J	`jnl`	Computational Imaging for VLBI Image Reconstruction. CoRR Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
2015	A*	`conf`	Visual vibrometry: Estimating material properties from small motions in video. CVPR Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Frédo Durand, William T. Freeman
2013	A*	`conf`	Estimating the Material Properties of Fabric from Video. ICCV Katherine L. Bouman, Bei Xiao, Peter W. Battaglia, William T. Freeman
2012	—	`conf`	Training image classifiers with similarity metrics, linear programming, and minimal supervision. ACSCC Karl S. Ni, Ethan Phelps, Katherine L. Bouman, Nadya T. Bliss
2011	J	`jnl`	A Low Complexity Sign Detection and Text Localization Method for Mobile Applications. IEEE Trans. Multim. Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp
2010	Misc	`conf`	A low complexity method for detection of text area in natural images. ICASSP Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp