Yair Weiss
19 papers · 2005–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
(2)
π±
Topic Pioneer
π
Trend Setter
π
Century Club
(19)
β
The Questioner
(4)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(51)
Conferences
NIPS (9)
JMLR (4)
ECCV (2)
AISTATS (1)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
gaussian mixture model
(4)
convolutional neural network
(4)
spectral method
(3)
generative model
(3)
combinatorial optimization
(2)
computer vision
(2)
graphical model
(2)
graph laplacian
(2)
natural image statistics
(2)
unsupervised learning
(2)
image generation
(1)
feature extraction
(1)
visual perception
(1)
image statistics
(1)
semi-supervised learning
(1)
independent component analysis
(1)
belief propagation
(1)
image restoration
(1)
image classification
(1)
label propagation
(1)
Papers
Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
ICLR 2025
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
ECCV 2024
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
ICML 2023
Generating Natural Images with Direct Patch Distributions Matching
ECCV 2022
Understanding and Simplifying Perceptual Distances
CVPR 2021
A Bayes-Optimal View on Adversarial Examples
JMLR 2021
When Is Unsupervised Disentanglement Possible?
NIPS 2021
Why do deep convolutional networks generalize so poorly to small image transformations?
JMLR 2019
On GANs and GMMs
NIPS 2018
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
NIPS 2015
Learning the Local Statistics of Optical Flow
NIPS 2013
Globally Optimizing Graph Partitioning Problems Using Message Passing
AISTATS 2012
Learning about Canonical Views from Internet Image Collections
NIPS 2012
Natural Images, Gaussian Mixtures and Dead Leaves
NIPS 2012
The 'tree-dependent components' of natural scenes are edge filters
NIPS 2009
Semi-Supervised Learning in Gigantic Image Collections
NIPS 2009
Spectral Hashing
NIPS 2008
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
JMLR 2006
Information Bottleneck for Gaussian Variables
JMLR 2005