Daniel Zoran

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 32

Top Topics

Generative Model

Object Representations

Unsupervised Segmentation

Top Venues

Publications

Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. CoRR (2023)
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
Learning from One Continuous Video Stream. CoRR (2023)
Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
Laser: Latent Set Representations for 3D Generative Modeling. CoRR (2023)
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. NeurIPS (2023)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object discovery and representation networks. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object Discovery and Representation Networks. ECCV (27) (2022)
Ryan Faulkner, Daniel Zoran
Solving Reasoning Tasks with a Slot Transformer. CoRR (2022)
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo J. Rezende
NeRF-VAE: A Geometry Aware 3D Scene Generative Model. CoRR (2021)
Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende
PARTS: Unsupervised segmentation with slots, attention and independence maximization. ICCV (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. CoRR (2021)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, Danilo Jimenez Rezende
NeRF-VAE: A Geometry Aware 3D Scene Generative Model. ICML (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. NeurIPS (2021)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CVPR (2020)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CoRR (2019)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. ICML (2019)
Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. CoRR (2019)
Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. NeurIPS (2019)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loïc Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. CoRR (2019)
Danny Karmon, Daniel Zoran, Yoav Goldberg
LaVAN: Localized and Visible Adversarial Noise. ICML (2018)
Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran
Learned Deformation Stability in Convolutional Neural Networks. CoRR (2018)
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 Botvinick
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents. CoRR (2018)
Danny Karmon, Daniel Zoran, Yoav Goldberg
LaVAN: Localized and Visible Adversarial Noise. CoRR (2018)
Nicholas Watters, Daniel Zoran, Theophane Weber, Peter W. Battaglia, Razvan Pascanu, Andrea Tacchetti
Visual Interaction Networks: Learning a Physics Simulator from Video. NIPS (2017)
Nicholas Watters, Andrea Tacchetti, Theophane Weber, Razvan Pascanu, Peter W. Battaglia, Daniel Zoran
Visual Interaction Networks. CoRR (2017)
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
Variational Memory Addressing in Generative Models. NIPS (2017)
Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees. CoRR (2017)
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
Variational Memory Addressing in Generative Models. CoRR (2017)
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
Computational Imaging for VLBI Image Reconstruction. CVPR (2016)
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
Learning visual groups from co-occurrences in space and time. CoRR (2015)
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
Computational Imaging for VLBI Image Reconstruction. CoRR (2015)
Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman
Learning Ordinal Relationships for Mid-Level Vision. ICCV (2015)
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
Crisp Boundary Detection Using Pointwise Mutual Information. ECCV (3) (2014)
Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman
Shape and Illumination from Shading using the Generic Viewpoint Assumption. NIPS (2014)
Dan Rosenbaum, Daniel Zoran, Yair Weiss
Learning the Local Statistics of Optical Flow. NIPS (2013)
Daniel Zoran, Yair Weiss
"Natural Images, Gaussian Mixtures and Dead Leaves". NIPS (2012)
Daniel Zoran, Yair Weiss
From learning models of natural image patches to whole image restoration. ICCV (2011)
Daniel Zoran, Yair Weiss
The 'tree-dependent components' of natural scenes are edge filters. NIPS (2009)
Daniel Zoran, Yair Weiss
Scale invariance and noise in natural images. ICCV (2009)