Dan Rosenbaum

According to our database, Dan Rosenbaum authored at least 23 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Unifying Unsupervised and Offline RL for Fast Adaptation Using World Models.

Daniel Khapun, Dan Rosenbaum

IEEE Robotics Autom. Lett., May, 2026

Looking Into the Water by Unsupervised Learning of the Surface Shape.

Ori Lifschitz, Tali Treibitz, Dan Rosenbaum

CoRR, March, 2026

2025

Flow Matching Neural Processes.

Hussen Abu Hamad, Dan Rosenbaum

CoRR, December, 2025

2024

Robust Neural Processes for Noisy Data.

Chen Shapira, Dan Rosenbaum

CoRR, 2024

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration.

Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Spatial Functa: Scaling Functa to ImageNet Classification and Generation.

Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim

CoRR, 2023

SeaThru-NeRF: Neural Radiance Fields in Scattering Media.

Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

From data to functa: Your data point is a function and you should treat it like one.

Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2022

2021

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.

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

CoRR, 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

Unsupervised Doodling and Painting with Improved SPIRAL.

John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami

CoRR, 2019

Attentive Neural Processes.

Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning models for visual 3D localization with implicit mapping.

Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami

CoRR, 2018

Neural Processes.

Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh

CoRR, 2018

Conditional Neural Processes.

Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami

Proceedings of the 35th International Conference on Machine Learning, 2018

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

PhD thesis, 2016

Subspace Learning with Partial Information.

Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz

J. Mach. Learn. Res., 2016

Statistics of RGBD Images.

Dan Rosenbaum, Yair Weiss

CoRR, 2016

Beyond Brightness Constancy: Learning Noise Models for Optical Flow.

Dan Rosenbaum, Yair Weiss

CoRR, 2016

2015

The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors.

Dan Rosenbaum, Yair Weiss

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

The Sample Complexity of Subspace Learning with Partial Information.

Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz

CoRR, 2014

2013

Learning the Local Statistics of Optical Flow.

Dan Rosenbaum, Daniel Zoran, Yair Weiss

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013