Daniel Zoran

According to our database, Daniel Zoran authored at least 32 papers between 2009 and 2023.

Collaborative distances:

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

2023

Learning from One Continuous Video Stream.

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman

CoRR, 2023

SODA: Bottleneck Diffusion Models for Representation Learning.

Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

CoRR, 2023

Laser: Latent Set Representations for 3D Generative Modeling.

Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende

CoRR, 2023

Combining Behaviors with the Successor Features Keyboard.

Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Solving Reasoning Tasks with a Slot Transformer.

Ryan Faulkner, Daniel Zoran

CoRR, 2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

Proceedings of the Tenth International Conference on Learning Representations, 2022

Object Discovery and Representation Networks.

Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.

Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeRF-VAE: A Geometry Aware 3D Scene Generative Model.

Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende

Proceedings of the 38th International Conference on Machine Learning, 2021

PARTS: Unsupervised segmentation with slots, attention and independence maximization.

Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Robust Image Classification Using Sequential Attention Models.

Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Towards Interpretable Reinforcement Learning Using Attention Augmented Agents.

Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Object Representation Learning with Iterative Variational Inference.

Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learned Deformation Stability in Convolutional Neural Networks.

Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran

CoRR, 2018

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.

Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick

CoRR, 2018

LaVAN: Localized and Visible Adversarial Noise.

Danny Karmon, Daniel Zoran, Yoav Goldberg

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

2017

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees.

Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell

CoRR, 2017

Visual Interaction Networks.

Nicholas Watters, Andrea Tacchetti, Theophane Weber, Razvan Pascanu, Peter W. Battaglia, Daniel Zoran

CoRR, 2017

Visual Interaction Networks: Learning a Physics Simulator from Video.

Nicholas Watters, Daniel Zoran, Theophane Weber, Peter W. Battaglia, Razvan Pascanu, Andrea Tacchetti

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Memory Addressing in Generative Models.

Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Computational Imaging for VLBI Image Reconstruction.

Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning visual groups from co-occurrences in space and time.

Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

CoRR, 2015

Learning Ordinal Relationships for Mid-Level Vision.

Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Shape and Illumination from Shading using the Generic Viewpoint Assumption.

Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Crisp Boundary Detection Using Pointwise Mutual Information.

Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Natural image statistics for human and computer vision (שער נוסף בעברית: סטטיסטיקה של תמונות טבעיות עבור ראיית אדם ומכונה.).

Daniel Zoran

PhD thesis, 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

2012

"Natural Images, Gaussian Mixtures and Dead Leaves".

Daniel Zoran, Yair Weiss

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

From learning models of natural image patches to whole image restoration.

Daniel Zoran, Yair Weiss

Proceedings of the IEEE International Conference on Computer Vision, 2011

2009

The 'tree-dependent components' of natural scenes are edge filters.

Daniel Zoran, Yair Weiss

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Scale invariance and noise in natural images.

Daniel Zoran, Yair Weiss

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009