Dan Rosenbaum - RankMe

27 papers A* 4Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Looking Into the Water by Unsupervised Learning of the Surface Shape. CoRR Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
2026	J	`jnl`	Unifying Unsupervised and Offline RL for Fast Adaptation Using World Models. IEEE Robotics Autom. Lett. Daniel Khapun, Dan Rosenbaum
2025	J	`jnl`	Flow Matching Neural Processes. CoRR Hussen Abu Hamad, Dan Rosenbaum
2024	—	`conf`	Osmosis: RGBD Diffusion Prior for Underwater Image Restoration. ECCV (62) Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum
2024	J	`jnl`	Osmosis: RGBD Diffusion Prior for Underwater Image Restoration. CoRR Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum
2024	J	`jnl`	Robust Neural Processes for Noisy Data. CoRR Chen Shapira, Dan Rosenbaum
2023	A*	`conf`	SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CVPR Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz
2023	J	`jnl`	SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CoRR Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz
2023	J	`jnl`	Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
2022	A*	`conf`	From data to functa: Your data point is a function and you can treat it like one. ICML Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum
2022	J	`jnl`	From data to functa: Your data point is a function and you should treat it like one. CoRR Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
2021	A*	`conf`	A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
2021	J	`jnl`	Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler
2019	—	`conf`	Attentive Neural Processes. ICLR (Poster) Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Attentive Neural Processes. CoRR Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Unsupervised Doodling and Painting with Improved SPIRAL. CoRR John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
2018	A*	`conf`	Conditional Neural Processes. ICML Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami
2018	J	`jnl`	Conditional Neural Processes. CoRR Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Learning models for visual 3D localization with implicit mapping. CoRR Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Neural Processes. CoRR Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh
2016	J	`jnl`	Beyond Brightness Constancy: Learning Noise Models for Optical Flow. CoRR Dan Rosenbaum, Yair Weiss
2016	—	`—`	Learning Generative Models and the Inference Process in Low Level Vision (שער נוסף בעברית: למידה של מודלים גנרטיביים ותהליך הסקה בראייה ראשונית.). Dan Rosenbaum
2016	J	`jnl`	Statistics of RGBD Images. CoRR Dan Rosenbaum, Yair Weiss
2016	J	`jnl`	Subspace Learning with Partial Information. J. Mach. Learn. Res. Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
2015	—	`conf`	The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors. NIPS Dan Rosenbaum, Yair Weiss
2014	J	`jnl`	The Sample Complexity of Subspace Learning with Partial Information. CoRR Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
2013	—	`conf`	Learning the Local Statistics of Optical Flow. NIPS Dan Rosenbaum, Daniel Zoran, Yair Weiss