Bouman, Katherine

7 publications

ICLR 2025 InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E Ross, Katherine Bouman, Yisong Yue

ICLR 2025 Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng, Ricardo Baptista, Katherine Bouman

ICLR 2025 Revealing the 3D Cosmic Web Through Gravitationally Constrained Neural Fields Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine Bouman

TMLR 2024 Variational Bayesian Imaging with an Efficient Surrogate Score-Based Prior Berthy Feng, Katherine Bouman

NeurIPSW 2023 Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior Berthy Feng, Katherine Bouman

NeurIPS 2021 DeepGEM: Generalized Expectation-Maximization for Blind Inversion Angela Gao, Jorge Castellanos, Yisong Yue, Zachary Ross, Katherine Bouman

NeurIPS 2016 Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue, Jiajun Wu, Katherine Bouman, Bill Freeman