Weiss, Yair

73 publications

ICLR 2025 Do WGANs Succeed Because They Minimize the Wasserstein Distance? Lessons from Discrete Generators Ariel Elnekave, Yair Weiss

ECCV 2024 Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations Ofir Shifman, Yair Weiss

ICML 2023 What Do CNNs Learn in the First Layer and Why? a Linear Systems Perspective Rhea Chowers, Yair Weiss

ECCV 2022 Generating Natural Images with Direct Patch Distributions Matching Ariel Elnekave, Yair Weiss

JMLR 2021 A Bayes-Optimal View on Adversarial Examples Eitan Richardson, Yair Weiss

CVPR 2021 Understanding and Simplifying Perceptual Distances Dan Amir, Yair Weiss

NeurIPS 2021 When Is Unsupervised Disentanglement Possible? Daniella Horan, Eitan Richardson, Yair Weiss

JMLR 2019 Why Do Deep Convolutional Networks Generalize so Poorly to Small Image Transformations? Aharon Azulay, Yair Weiss

NeurIPS 2018 On GANs and GMMs Eitan Richardson, Yair Weiss

CVPRW 2016 Power-Efficient Cameras Using Natural Image Statistics Roni Feldman, Yair Weiss, Yonina C. Eldar

NeurIPS 2015 The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors Dan Rosenbaum, Yair Weiss

NeurIPS 2013 Learning the Local Statistics of Optical Flow Dan Rosenbaum, Daniel Zoran, Yair Weiss

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

AISTATS 2012 Globally Optimizing Graph Partitioning Problems Using Message Passing Elad Mezuman, Yair Weiss

NeurIPS 2012 Learning About Canonical Views from Internet Image Collections Elad Mezuman, Yair Weiss

ECCV 2012 Multidimensional Spectral Hashing Yair Weiss, Rob Fergus, Antonio Torralba

NeurIPS 2012 Natural Images, Gaussian Mixtures and Dead Leaves Daniel Zoran, Yair Weiss

CVPR 2011 Efficient Marginal Likelihood Optimization in Blind Deconvolution Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman

ICCV 2011 From Learning Models of Natural Image Patches to Whole Image Restoration Daniel Zoran, Yair Weiss

ECCV 2010 Semantic Label Sharing for Learning with Many Categories Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba

UAI 2009 Convergent Message Passing Algorithms - A Unifying View Talya Meltzer, Amir Globerson, Yair Weiss

ICCV 2009 Scale Invariance and Noise in Natural Images Daniel Zoran, Yair Weiss

NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss, Antonio Torralba

NeurIPS 2009 The 'tree-Dependent Components' of Natural Scenes Are Edge Filters Daniel Zoran, Yair Weiss

CVPR 2009 Understanding and Evaluating Blind Deconvolution Algorithms Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman

CVPR 2008 Human-Assisted Motion Annotation Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss

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

CVPR 2008 Small Codes and Large Image Databases for Recognition Antonio Torralba, Robert Fergus, Yair Weiss

NeurIPS 2008 Spectral Hashing Yair Weiss, Antonio Torralba, Rob Fergus

UAI 2008 Tightening LP Relaxations for MAP Using Message Passing David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss

ICCV 2007 Fast Pixel/Part Selection with Sparse Eigenvectors Bernard Moghaddam, Yair Weiss, Shai Avidan

AISTATS 2007 Hidden Topic Markov Models Amit Gruber, Yair Weiss, Michal Rosen-Zvi

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

CVPR 2007 What Makes a Good Model of Natural Images? Yair Weiss, William T. Freeman

CVPR 2006 A Closed Form Solution to Natural Image Matting Anat Levin, Dani Lischinski, Yair Weiss

ICML 2006 Generalized Spectral Bounds for Sparse LDA Baback Moghaddam, Yair Weiss, Shai Avidan

ECCV 2006 Incorporating Non-Motion Cues into 3D Motion Segmentation Amit Gruber, Yair Weiss

ECCV 2006 Learning to Combine Bottom-up and Top-Down Segmentation Anat Levin, Yair Weiss

JMLR 2006 Linear Programming Relaxations and Belief Propagation -- an Empirical Study Chen Yanover, Talya Meltzer, Yair Weiss

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

JMLR 2005 Information Bottleneck for Gaussian Variables Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss

NeurIPS 2005 Noise and the Two-Thirds Power Law Uri Maoz, Elon Portugaly, Tamar Flash, Yair Weiss

NeurIPS 2005 Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms Baback Moghaddam, Yair Weiss, Shai Avidan

CVPR 2004 Learning Object Detection from a Small Number of Examples: The Importance of Good Features Kobi Levi, Yair Weiss

CVPR 2004 Learning from a Small Number of Training Examples by Exploiting Object Categories Kobi Levi, Michael Fink, Yair Weiss

CVPRW 2004 Learning from a Small Number of Training Examples by Exploiting Object Categories Kobi Levi, Michael Fink, Yair Weiss

CVPR 2004 Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm Amit Gruber, Yair Weiss

ECCV 2004 Seamless Image Stitching in the Gradient Domain Anat Levin, Assaf Zomet, Shmuel Peleg, Yair Weiss

CVPR 2004 Separating Reflections from a Single Image Using Local Features Anat Levin, Assaf Zomet, Yair Weiss

ECCV 2004 User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior Anat Levin, Yair Weiss

NeurIPS 2003 Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence Amit Gruber, Yair Weiss

NeurIPS 2003 Finding the M Most Probable Configurations Using Loopy Belief Propagation Chen Yanover, Yair Weiss

NeurIPS 2003 Information Bottleneck for Gaussian Variables Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss

ICCV 2003 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

NeurIPS 2003 Pairwise Clustering and Graphical Models Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss

NeurIPS 2002 Approximate Inference and Protein-Folding Chen Yanover, Yair Weiss

NeurIPS 2002 Learning to Perceive Transparency from the Statistics of Natural Scenes Anat Levin, Assaf Zomet, Yair Weiss

NeurIPS 2002 Maximum Likelihood and the Information Bottleneck Noam Slonim, Yair Weiss

NeCo 2001 Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology Yair Weiss, William T. Freeman

ICCV 2001 Deriving Intrinsic Images from Image Sequences Yair Weiss

NeurIPS 2001 On Spectral Clustering: Analysis and an Algorithm Andrew Y. Ng, Michael I. Jordan, Yair Weiss

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

NeCo 2000 Correctness of Local Probability Propagation in Graphical Models with Loops Yair Weiss

NeurIPS 2000 Generalized Belief Propagation Jonathan S. Yedidia, William T. Freeman, Yair Weiss

NeurIPS 1999 Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology Yair Weiss, William T. Freeman

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

ICCV 1999 Segmentation Using Eigenvectors: A Unifying View Yair Weiss

NeurIPS 1997 Phase Transitions and the Perceptual Organization of Video Sequences Yair Weiss

CVPR 1997 Smoothness in Layers: Motion Segmentation Using Nonparametric Mixture Estimation Yair Weiss

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

NeurIPS 1996 Interpreting Images by Propagating Bayesian Beliefs Yair Weiss

NeCo 1993 Models of Perceptual Learning in Vernier Hyperacuity Yair Weiss, Shimon Edelman, Manfred Fahle