Dan Rosenbaum

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Discriminative Training

Brightness Constancy

Partial Information

Top Venues

J. Mach. Learn. Res.

Publications

Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration. CoRR (2024)
Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CoRR (2023)
Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CVPR (2023)
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR (2023)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you can treat it like one. ICML (2022)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you should treat it like one. CoRR (2022)
Yoram Bachrach, Ian M. Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI (2021)
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
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR (2021)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. CoRR (2019)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. ICLR (Poster) (2019)
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
Unsupervised Doodling and Painting with Improved SPIRAL. CoRR (2019)
Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami
Learning models for visual 3D localization with implicit mapping. CoRR (2018)
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami
Conditional Neural Processes. CoRR (2018)
Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami
Conditional Neural Processes. ICML (2018)
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh
Neural Processes. CoRR (2018)
Dan Rosenbaum, Yair Weiss
Beyond Brightness Constancy: Learning Noise Models for Optical Flow. CoRR (2016)
Dan Rosenbaum, Yair Weiss
Statistics of RGBD Images. CoRR (2016)
Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
Subspace Learning with Partial Information. J. Mach. Learn. Res. 17 (2016)
Dan Rosenbaum, Yair Weiss
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors. NIPS (2015)
Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz
The Sample Complexity of Subspace Learning with Partial Information. CoRR (2014)
Dan Rosenbaum, Daniel Zoran, Yair Weiss
Learning the Local Statistics of Optical Flow. NIPS (2013)