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2020 – today
- 2024
[c8]Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum:
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration. ECCV (62) 2024: 302-319- [i13]Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum:
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration. CoRR abs/2403.14837 (2024) - 2023
- [c7]Deborah Levy
, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz:
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CVPR 2023: 56-65 - [i12]Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim:
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR abs/2302.03130 (2023) - [i11]Deborah Levy, Amit Peleg, Naama Pearl, Dan Rosenbaum, Derya Akkaynak, Simon Korman, Tali Treibitz:
SeaThru-NeRF: Neural Radiance Fields in Scattering Media. CoRR abs/2304.07743 (2023) - 2022
- [c6]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: 5694-5725 - [i10]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 abs/2201.12204 (2022) - 2021
- [c5]Yoram Bachrach, Ian 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: 4976-4979 - [i9]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 abs/2106.14108 (2021)
2010 – 2019
- 2019
- [c4]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 - [i8]Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh:
Attentive Neural Processes. CoRR abs/1901.05761 (2019) - [i7]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 abs/1910.01007 (2019) - 2018
- [c3]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: 1690-1699 - [i6]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 abs/1807.01613 (2018) - [i5]Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh:
Neural Processes. CoRR abs/1807.01622 (2018) - [i4]Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami:
Learning models for visual 3D localization with implicit mapping. CoRR abs/1807.03149 (2018) - 2016
- [b1]Dan Rosenbaum:
Learning Generative Models and the Inference Process in Low Level Vision (שער נוסף בעברית: למידה של מודלים גנרטיביים ותהליך הסקה בראייה ראשונית.). Hebrew University of Jerusalem, Israel, 2016 - [j1]Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz:
Subspace Learning with Partial Information. J. Mach. Learn. Res. 17: 52:1-52:21 (2016) - [i3]Dan Rosenbaum, Yair Weiss:
Beyond Brightness Constancy: Learning Noise Models for Optical Flow. CoRR abs/1604.02815 (2016) - [i2]Dan Rosenbaum, Yair Weiss:
Statistics of RGBD Images. CoRR abs/1604.02902 (2016) - 2015
- [c2]Dan Rosenbaum, Yair Weiss:
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors. NIPS 2015: 2683-2691 - 2014
- [i1]Alon Gonen, Dan Rosenbaum, Yonina C. Eldar, Shai Shalev-Shwartz:
The Sample Complexity of Subspace Learning with Partial Information. CoRR abs/1402.4844 (2014) - 2013
- [c1]Dan Rosenbaum, Daniel Zoran, Yair Weiss:
Learning the Local Statistics of Optical Flow. NIPS 2013: 2373-2381
Coauthor Index
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