Models of Perceptual Learning in Vernier Hyperacuity. - Yair Weiss; Shimon Edelman; Manfred Fahle (Neural Comput., 1993)

A Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models. - Yair Weiss; Edward H. Adelson (CVPR, 1996)

Interpreting Images by Propagating Bayesian Beliefs. - Yair Weiss (NIPS, 1996)

Smoothness in Layers: Motion segmentation using nonparametric mixture estimation. - Yair Weiss (CVPR, 1997)

Phase Transitions and the Perceptual Organization of Video Sequences. - Yair Weiss (NIPS, 1997)

Segmentation using Eigenvectors: A Unifying View. - Yair Weiss (ICCV, 1999)

Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. - Yair Weiss; William T. Freeman (NIPS, 1999)

Loopy Belief Propagation for Approximate Inference: An Empirical Study. - Kevin P. Murphy; Yair Weiss; Michael I. Jordan (UAI, 1999)

Generalized Belief Propagation. - Jonathan S. Yedidia; William T. Freeman; Yair Weiss (NIPS, 2000)

Correctness of Local Probability Propagation in Graphical Models with Loops. - Yair Weiss (Neural Comput., 2000)

Deriving Intrinsic Images from Image Sequences. - Yair Weiss (ICCV, 2001)

On Spectral Clustering: Analysis and an algorithm. - Andrew Y. Ng; Michael I. Jordan; Yair Weiss (NIPS, 2001)

The Factored Frontier Algorithm for Approximate Inference in DBNs. - Kevin P. Murphy; Yair Weiss (UAI, 2001)

On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs. - Yair Weiss; William T. Freeman (IEEE Trans. Inf. Theory, 2001)

Learning to Perceive Transparency from the Statistics of Natural Scenes. - Anat Levin; Assaf Zomet; Yair Weiss (NIPS, 2002)

Maximum Likelihood and the Information Bottleneck. - Noam Slonim; Yair Weiss (NIPS, 2002)

Approximate Inference and Protein-Folding. - Chen Yanover; Yair Weiss (NIPS, 2002)

Learning How to Inpaint from Global Image Statistics. - Anat Levin; Assaf Zomet; Yair Weiss (ICCV, 2003)

Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm. - Noam Shental; Assaf Zomet; Tomer Hertz; Yair Weiss (ICCV, 2003)

Information Bottleneck for Gaussian Variables. - Gal Chechik; Amir Globerson; Naftali Tishby; Yair Weiss (NIPS, 2003)

Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence. - Amit Gruber; Yair Weiss (NIPS, 2003)

Pairwise Clustering and Graphical Models. - Noam Shental; Assaf Zomet; Tomer Hertz; Yair Weiss (NIPS, 2003)

Finding the M Most Probable Configurations in Arbitrary Graphical Models. - Chen Yanover; Yair Weiss (NIPS, 2003)

Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm. - Amit Gruber; Yair Weiss (CVPR (1), 2004)

Learning From a Small Number of Training Examples by Exploiting Object Categories. - Kobi Levi; Michael Fink 002; Yair Weiss (CVPR Workshops, 2004)

Learning Object Detection from a Small Number of Examples: The Importance of Good Features. - Kobi Levi; Yair Weiss (CVPR (2), 2004)

Separating Reflections from a Single Image Using Local Features. - Anat Levin; Assaf Zomet; Yair Weiss (CVPR (1), 2004)

User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior. - Anat Levin; Yair Weiss (ECCV (1), 2004)

Seamless Image Stitching in the Gradient Domain. - Anat Levin; Assaf Zomet; Shmuel Peleg; Yair Weiss (ECCV (4), 2004)

Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory. - Ori Shental; Anthony J. Weiss; Noam Shental; Yair Weiss (ITW, 2004)

Colorization using optimization. - Anat Levin; Dani Lischinski; Yair Weiss (ACM Trans. Graph., 2004)

Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation. - Talya Meltzer; Chen Yanover; Yair Weiss (ICCV, 2005)

Noise and the two-thirds power Law. - Uri Maoz; Elon Portugaly; Tamar Flash; Yair Weiss (NIPS, 2005)

Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms. - Baback Moghaddam; Yair Weiss; Shai Avidan (NIPS, 2005)

Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery. - Amit Gruber; Yair Weiss (SLSFS, 2005)

Constructing free-energy approximations and generalized belief propagation algorithms. - Jonathan S. Yedidia; William T. Freeman; Yair Weiss (IEEE Trans. Inf. Theory, 2005)

A Closed Form Solution to Natural Image Matting. - Anat Levin; Dani Lischinski; Yair Weiss (CVPR (1), 2006)

Incorporating Non-motion Cues into 3D Motion Segmentation. - Amit Gruber; Yair Weiss (ECCV (3), 2006)

Learning to Combine Bottom-Up and Top-Down Segmentation. - Anat Levin; Yair Weiss (ECCV (4), 2006)

Generalized spectral bounds for sparse LDA. - Baback Moghaddam; Yair Weiss; Shai Avidan (ICML, 2006)

Linear Programming Relaxations and Belief Propagation - An Empirical Study. - Chen Yanover; Talya Meltzer; Yair Weiss (J. Mach. Learn. Res., 2006)

Seamless image stitching by minimizing false edges. - Assaf Zomet; Anat Levin; Shmuel Peleg; Yair Weiss (IEEE Trans. Image Process., 2006)

What makes a good model of natural images? - Yair Weiss; William T. Freeman (CVPR, 2007)

Fast Pixel/Part Selection with Sparse Eigenvectors. - Bernard Moghaddam; Yair Weiss; Shai Avidan (ICCV, 2007)

Minimizing and Learning Energy Functions for Side-Chain Prediction. - Chen Yanover; Ora Schueler-Furman; Yair Weiss (RECOMB, 2007)

MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies. - Yair Weiss; Chen Yanover; Talya Meltzer (UAI, 2007)

Hidden Topic Markov Models. - Amit Gruber; Yair Weiss; Michal Rosen-Zvi (AISTATS, 2007)

Human-assisted motion annotation. - Ce Liu 001; William T. Freeman; Edward H. Adelson; Yair Weiss (CVPR, 2008)

Small codes and large image databases for recognition. - Antonio Torralba 001; Robert Fergus; Yair Weiss (CVPR, 2008)

Spectral Hashing. - Yair Weiss; Antonio Torralba 001; Robert Fergus (NIPS, 2008)

Latent Topic Models for Hypertext. - Amit Gruber; Michal Rosen-Zvi; Yair Weiss (UAI, 2008)

Tightening LP Relaxations for MAP using Message Passing. - David A. Sontag; Talya Meltzer; Amir Globerson; Tommi S. Jaakkola; Yair Weiss (UAI, 2008)

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. - Ori Shental; Noam Shental; Shlomo Shamai; Ido Kanter; Anthony J. Weiss; Yair Weiss (IEEE Trans. Inf. Theory, 2008)

Understanding and evaluating blind deconvolution algorithms. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (CVPR, 2009)

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

Informative sensing of natural images. - Hyun Sung Chang; Yair Weiss; William T. Freeman (ICIP, 2009)

Semi-Supervised Learning in Gigantic Image Collections. - Rob Fergus; Yair Weiss; Antonio Torralba 001 (NIPS, 2009)

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

Convergent message passing algorithms - a unifying view. - Talya Meltzer; Amir Globerson; Yair Weiss (UAI, 2009)

Informative Sensing - Hyun Sung Chang; Yair Weiss; William T. Freeman (CoRR, 2009)

Semantic Label Sharing for Learning with Many Categories. - Robert Fergus; Hector Bernal; Yair Weiss; Antonio Torralba 001 (ECCV (1), 2010)

SPRINT: side-chain prediction inference toolbox for multistate protein design. - Menachem Fromer; Chen Yanover; Amir Harel; Ori Shachar; Yair Weiss; Michal Linial (Bioinform., 2010)

Belief propagation: technical perspective. - Yair Weiss; Judea Pearl (Commun. ACM, 2010)

Efficient marginal likelihood optimization in blind deconvolution. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (CVPR, 2011)

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

Understanding Blind Deconvolution Algorithms. - Anat Levin; Yair Weiss; Frédo Durand; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Multidimensional Spectral Hashing. - Yair Weiss; Rob Fergus; Antonio Torralba 001 (ECCV (5), 2012)

Learning about Canonical Views from Internet Image Collections. - Elad Mezuman; Yair Weiss (NIPS, 2012)

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

Globally Optimizing Graph Partitioning Problems Using Message Passing. - Elad Mezuman; Yair Weiss (AISTATS, 2012)

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

Tighter Linear Program Relaxations for High Order Graphical Models. - Elad Mezuman; Daniel Tarlow; Amir Globerson; Yair Weiss (UAI, 2013)

The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors. - Dan Rosenbaum; Yair Weiss (NIPS, 2015)

Power-Efficient Cameras Using Natural Image Statistics. - Roni Feldman; Yair Weiss; Yonina C. Eldar (CVPR Workshops, 2016)

A tight convex upper bound on the likelihood of a finite mixture. - Elad Mezuman; Yair Weiss (ICPR, 2016)

Beyond Brightness Constancy: Learning Noise Models for Optical Flow. - Dan Rosenbaum; Yair Weiss (CoRR, 2016)

Statistics of RGBD Images. - Dan Rosenbaum; Yair Weiss (CoRR, 2016)

Reflection separation using guided annotation. - Ofer Springer; Yair Weiss (ICIP, 2017)

On GANs and GMMs. - Eitan Richardson; Yair Weiss (NeurIPS, 2018)

Why do deep convolutional networks generalize so poorly to small image transformations? - Aharon Azulay; Yair Weiss (J. Mach. Learn. Res., 2019)

The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. - Eitan Richardson; Yair Weiss (ICPR, 2020)

Special Issue: Advances in Architectures and Theories for Computer Vision. - Yair Weiss; Vittorio Ferrari; Cristian Sminchisescu; Martial Hebert (Int. J. Comput. Vis., 2020)

Understanding and Simplifying Perceptual Distances. - Dan Amir; Yair Weiss (CVPR, 2021)

When Is Unsupervised Disentanglement Possible? - Daniella Horan; Eitan Richardson; Yair Weiss (NeurIPS, 2021)

Posterior Sampling for Image Restoration using Explicit Patch Priors. - Roy Friedman; Yair Weiss (CoRR, 2021)

A Bayes-Optimal View on Adversarial Examples. - Eitan Richardson; Yair Weiss (J. Mach. Learn. Res., 2021)

Generating Natural Images with Direct Patch Distributions Matching. - Ariel Elnekave; Yair Weiss (ECCV (17), 2022)

Why do CNNs Learn Consistent Representations in their First Layer Independent of Labels and Architecture? - Rhea Chowers; Yair Weiss (CoRR, 2022)

What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective. - Rhea Chowers; Yair Weiss (ICML, 2023)

Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations. - Ofir Shifman; Yair Weiss (ECCV (69), 2024)

Intriguing Properties of Modern GANs. - Roy Friedman; Yair Weiss (CoRR, 2024)

On adversarial training and the 1 Nearest Neighbor classifier. - Amir Hagai; Yair Weiss (CoRR, 2024)

Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators. - Ariel Elnekave; Yair Weiss (ICLR, 2025)

Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences. - Roy Friedman; Noa Moriel; Matthew Ricci; Guy Pelc; Yair Weiss; Mor Nitzan (CoRR, 2025)