Meyer Scetbon

Meyer Scetbon

PhD Student in Machine Learning at CREST, ENSAE Paris

Publications

Published papers:

Linear Time Sinkhorn Divergences using Positive Features
Meyer Scetbon, Marco Cuturi.
Neural Information Processing Systems (NeurIPS 2020).
paper code poster slides

Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui.
International Conference on Machine Learning (ICML 2020).
paper slides

Comparing distributions: l1 geometry improves kernel two-sample testing
Meyer Scetbon, Gaël Varoquaux.
Spotlight at Neural Information Processing Systems (NeurIPS 2019).
paper code poster slides

Preprints:

Equitable and Optimal Transport with Multiple Agents
Meyer Scetbon *, Laurent Meunier *, Jamal Atif, Marco Cuturi
paper

Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators
Meyer Scetbon, Zaid Harchaoui.
paper

Deep K-SVD Denoising
Meyer Scetbon, Michael Elad, Peyman Milanfar.
paper code

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