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Meyer Scetbon

Deep K-SVD Denoising
2021 · Meyer Scetbon, Michael Elad, et al. · IEEE Transactions on Image Processing · 152
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Linear Time Sinkhorn Divergences using Positive Features
2020 · Scetbon, Meyer, Cuturi, Marco · arXiv (Cornell University) · 13
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Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
2021 · Scetbon, Meyer, Peyré, Gabriel, et al. · arXiv (Cornell University) · 8
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Low-Rank Optimal Transport: Approximation, Statistics and Debiasing
2022 · Meyer Scetbon, Marco Cuturi · neural information processing systems · 7
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A Spectral Analysis of Dot-product Kernels
2020 · Scetbon, Meyer, Harchaoui, Zaid · arXiv (Cornell University) · 5
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Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
2019 · Scetbon, M., Varoquaux, G. · arXiv (Cornell University) · 5
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The Essential Role of Causality in Foundation World Models for Embodied AI
2024 · Gupta, Tarun, Gong, Wenbo, et al. · arXiv (Cornell University) · 4
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Equitable and Optimal Transport with Multiple Agents
2021 · Scetbon, Meyer, Meunier, Laurent, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 4
Unbalanced Low-rank Optimal Transport Solvers
2023 · Meyer Scetbon, Michal Klein, et al. · neural information processing systems · 3
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Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
2021 · Irons, Nicholas J., Scetbon, Meyer, et al. · arXiv (Cornell University) · 2
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Mixed Nash Equilibria in the Adversarial Examples Game
2021 · Meunier, Laurent, Scetbon, Meyer, et al. · arXiv (Cornell University) · 2
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Equitable and Optimal Transport with Multiple Agents
2020 · Scetbon, Meyer, Meunier, Laurent, et al. · arXiv (Cornell University) · 2
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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
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
2024 · Mahajan, Divyat, Gladrow, Jannes, et al. · arXiv (Cornell University) · 1
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Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
2023 · Scetbon, Meyer, Dohmatob, Elvis · arXiv (Cornell University) · 1
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An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
2021 · Scetbon, Meyer, Meunier, Laurent, et al. · arXiv (Cornell University) · 1
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Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation.
2020 · Meyer Scetbon, Laurent Meunier, et al. · arXiv (Cornell University) · 1
Harmonic Decompositions of Convolutional Networks
2020 · Scetbon, Meyer, Harchaoui, Zaid · arXiv (Cornell University) · 1
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Comparing distributions: $l1$ geometry improves kernel two-sample testing
2019 · Scetbon, Meyer, Varoquaux, Gaël · HAL (Le Centre pour la Communication Scientifique Directe) · 1
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)
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Gradient Multi-Normalization for Stateless and Scalable LLM Training
2025 · Scetbon, Meyer, Ma, Chao, et al. · arXiv (Cornell University)
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Gradient Multi-Normalization for Efficient LLM Training
2025 · Meyer Scetbon, Chao Ma, et al. · neural information processing systems
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
2024 · Ma, Chao, Gong, Wenbo, et al. · arXiv (Cornell University)
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Low-Rank Correction for Quantized LLMs
2024 · Scetbon, Meyer, Hensman, James · arXiv (Cornell University)
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Works count: 33
Citation count: 215
H-index: 5
I10-index: 2
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