Scale invariance and noise in natural images. - Daniel Zoran; Yair Weiss (ICCV, 2009)

The 'tree-dependent components' of natural scenes are edge filters. - Daniel Zoran; Yair Weiss (NIPS, 2009)

From learning models of natural image patches to whole image restoration. - Daniel Zoran; Yair Weiss (ICCV, 2011)

"Natural Images, Gaussian Mixtures and Dead Leaves". - Daniel Zoran; Yair Weiss (NIPS, 2012)

Learning the Local Statistics of Optical Flow. - Dan Rosenbaum; Daniel Zoran; Yair Weiss (NIPS, 2013)

Natural image statistics for human and computer vision (שער נוסף בעברית: סטטיסטיקה של תמונות טבעיות עבור ראיית אדם ומכונה.). - Daniel Zoran (2013)

Crisp Boundary Detection Using Pointwise Mutual Information. - Phillip Isola; Daniel Zoran; Dilip Krishnan; Edward H. Adelson (ECCV (3), 2014)

Shape and Illumination from Shading using the Generic Viewpoint Assumption. - Daniel Zoran; Dilip Krishnan; José Bento 001; Bill Freeman (NIPS, 2014)

Learning Ordinal Relationships for Mid-Level Vision. - Daniel Zoran; Phillip Isola; Dilip Krishnan; William T. Freeman (ICCV, 2015)

Learning visual groups from co-occurrences in space and time. - Phillip Isola; Daniel Zoran; Dilip Krishnan; Edward H. Adelson (CoRR, 2015)

Computational Imaging for VLBI Image Reconstruction. - Katherine L. Bouman; Michael D. Johnson 003; Daniel Zoran; Vincent L. Fish; Sheperd S. Doeleman; William T. Freeman (CVPR, 2016)

Variational Memory Addressing in Generative Models. - Jörg Bornschein; Andriy Mnih; Daniel Zoran; Danilo Jimenez Rezende (NIPS, 2017)

Visual Interaction Networks: Learning a Physics Simulator from Video. - Nicholas Watters; Daniel Zoran; Theophane Weber; Peter W. Battaglia; Razvan Pascanu; Andrea Tacchetti (NIPS, 2017)

Visual Interaction Networks. - Nicholas Watters; Andrea Tacchetti; Theophane Weber; Razvan Pascanu; Peter W. Battaglia; Daniel Zoran (CoRR, 2017)

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees. - Daniel Zoran; Balaji Lakshminarayanan; Charles Blundell (CoRR, 2017)

LaVAN: Localized and Visible Adversarial Noise. - Danny Karmon; Daniel Zoran; Yoav Goldberg (ICML, 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; et al. (CoRR, 2018)

Learned Deformation Stability in Convolutional Neural Networks. - Avraham Ruderman; Neil C. Rabinowitz; Ari S. Morcos; Daniel Zoran (CoRR, 2018)

Multi-Object Representation Learning with Iterative Variational Inference. - Klaus Greff; Raphaël Lopez Kaufman; Rishabh Kabra; Nick Watters; Chris Burgess 001; Daniel Zoran; Loic Matthey; Matthew M. Botvinick; Alexander Lerchner (ICML, 2019)

Towards Interpretable Reinforcement Learning Using Attention Augmented Agents. - Alexander Mott; Daniel Zoran; Mike Chrzanowski; Daan Wierstra; Danilo Jimenez Rezende (NeurIPS, 2019)

Towards Robust Image Classification Using Sequential Attention Models. - Daniel Zoran; Mike Chrzanowski; Po-Sen Huang; Sven Gowal; Alex Mott; Pushmeet Kohli (CVPR, 2020)

PARTS: Unsupervised segmentation with slots, attention and independence maximization. - Daniel Zoran; Rishabh Kabra; Alexander Lerchner; Danilo J. Rezende (ICCV, 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 (ICML, 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 (NeurIPS, 2021)

Object Discovery and Representation Networks. - Olivier J. Hénaff; Skanda Koppula; Evan Shelhamer; Daniel Zoran; Andrew Jaegle; Andrew Zisserman; João Carreira 001; Relja Arandjelovic (ECCV (27), 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; et al. (ICLR, 2022)

Hierarchical Perceiver. - João Carreira 001; Skanda Koppula; Daniel Zoran; Adrià Recasens; Catalin Ionescu; Olivier J. Hénaff; Evan Shelhamer; Relja Arandjelovic; Matthew M. Botvinick; Oriol Vinyals; Karen Simonyan; Andrew Zisserman; et al. (CoRR, 2022)

Solving Reasoning Tasks with a Slot Transformer. - Ryan Faulkner 001; Daniel Zoran (CoRR, 2022)

Combining Behaviors with the Successor Features Keyboard. - Wilka Carvalho; Andre Saraiva 001; Angelos Filos; Andrew K. Lampinen; Loic Matthey; Richard L. Lewis; Honglak Lee; Satinder Singh 001; Danilo Jimenez Rezende; Daniel Zoran (NeurIPS, 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)

Learning from One Continuous Video Stream. - João Carreira 001; Michael King; Viorica Patraucean; Dilara Gokay; Catalin Ionescu; Yi Yang 007; Daniel Zoran; Joseph Heyward; Carl Doersch; Yusuf Aytar; Dima Damen; Andrew Zisserman (CVPR, 2024)

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 (CVPR, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (NeurIPS, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Learning from Streaming Video with Orthogonal Gradients. - Tengda Han; Dilara Gokay; Joseph Heyward; Chuhan Zhang; Daniel Zoran; Viorica Patraucean; João Carreira 001; Dima Damen; Andrew Zisserman (CVPR, 2025)