Rosenbaum, Dan

14 publications

NeurIPS 2025 Flow Matching Neural Processes Hussen Abu Hamad, Dan Rosenbaum

ICLRW 2025 Flow Matching Neural Processes Hussen Abu Hamad, Dan Rosenbaum

NeurIPS 2025 Looking into the Water by Unsupervised Learning of the Surface Shape Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

ICLRW 2025 Predicting 3D Structure by Latent Posterior Sampling Azmi A. Haider, Dan Rosenbaum

ICLRW 2025 Unifying Unsupervised and Offline RL for Fast Adaptation Using World Models Daniel Khapun, Dan Rosenbaum

ECCV 2024 Osmosis: RGBD Diffusion Prior for Underwater Image Restoration Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum

CVPR 2023 SeaThru-NeRF: Neural Radiance Fields in Scattering Media Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz

ICML 2022 From Data to Functa: Your Data Point Is a Function and You Can Treat It like One Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum

IJCAI 2021 A Neural Network Auction for Group Decision Making over a Continuous Space Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel

ICLR 2019 Attentive Neural Processes Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh

ICML 2018 Conditional Neural Processes Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, S. M. Ali Eslami

JMLR 2016 Subspace Learning with Partial Information Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz

NeurIPS 2015 The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors Dan Rosenbaum, Yair Weiss

NeurIPS 2013 Learning the Local Statistics of Optical Flow Dan Rosenbaum, Daniel Zoran, Yair Weiss