Get started
Author

Meyer Scetbon

Deep K-SVD Denoising
2021 · Meyer Scetbon, Michael Elad, et al. · IEEE Transactions on Image Processing · 163
PDF
The Essential Role of Causality in Foundation World Models for Embodied AI
2024 · Gupta, Tarun, Gong, Wenbo, et al. · arXiv (Cornell University) · 45
PDF
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
2021 · Scetbon, Meyer, Peyré, Gabriel, et al. · arXiv (Cornell University) · 22
PDF
Low-Rank Sinkhorn Factorization
2021 · Scetbon, Meyer, Cuturi, Marco, et al. · arXiv (Cornell University) · 16
PDF
Linear Time Sinkhorn Divergences using Positive Features
2020 · Scetbon, Meyer, Cuturi, Marco · arXiv (Cornell University) · 15
PDF
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
2024 · Ma, Chao, Gong, Wenbo, et al. · arXiv (Cornell University) · 14
PDF
Low-Rank Optimal Transport: Approximation, Statistics and Debiasing
2022 · Meyer Scetbon, Marco Cuturi · neural information processing systems · 11
PDF
Gradient Multi-Normalization for Stateless and Scalable LLM Training
2025 · Scetbon, Meyer, Ma, Chao, et al. · arXiv (Cornell University) · 9
PDF
A Spectral Analysis of Dot-product Kernels
2020 · Scetbon, Meyer, Harchaoui, Zaid · arXiv (Cornell University) · 9
PDF
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
2025 · Gong, Wenbo, Scetbon, Meyer, et al. · arXiv (Cornell University) · 6
PDF
Unbalanced Low-rank Optimal Transport Solvers
2023 · Meyer Scetbon, Michal Klein, et al. · neural information processing systems · 6
PDF
Mixed Nash Equilibria in the Adversarial Examples Game
2021 · Meunier, Laurent, Scetbon, Meyer, et al. · arXiv (Cornell University) · 6
PDF
Equitable and Optimal Transport with Multiple Agents
2021 · Scetbon, Meyer, Meunier, Laurent, et al. · HAL · 6
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
2019 · Scetbon, M., Varoquaux, G. · arXiv (Cornell University) · 6
PDF
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
2024 · Mahajan, Divyat, Gladrow, Jannes, et al. · arXiv (Cornell University) · 5
PDF
Low-Rank Correction for Quantized LLMs
2024 · Scetbon, Meyer, Hensman, James · arXiv (Cornell University) · 4
PDF
A Fixed-Point Approach for Causal Generative Modeling
2024 · Scetbon, Meyer, Jennings, Joel, et al. · arXiv (Cornell University) · 4
PDF
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
2021 · Scetbon, Meyer, Meunier, Laurent, et al. · arXiv (Cornell University) · 4
PDF
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
2021 · Irons, Nicholas J., Scetbon, Meyer, et al. · arXiv (Cornell University) · 3
PDF
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
2023 · Dohmatob, Elvis, Scetbon, Meyer · arXiv (Cornell University) · 2
PDF
Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation.
2020 · Meyer Scetbon, Laurent Meunier, et al. · arXiv (Cornell University) · 2
Equitable and Optimal Transport with Multiple Agents
2020 · Scetbon, Meyer, Meunier, Laurent, et al. · arXiv (Cornell University) · 2
PDF
Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators.
2020 · Meyer Scetbon, Zaïd Harchaoui · arXiv (Cornell University) · 2
Harmonic Decompositions of Convolutional Networks
2025 · Scetbon, M. · TIB Data Manager · 1
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
2023 · Scetbon, Meyer, Dohmatob, Elvis · arXiv (Cornell University) · 1
PDF
Works count: 32
Citation count: 366
H-index: 9
I10-index: 7
Year
Topic
Type