Meyer Scetbon

most citedComparing distributions:

ℓ_{1}

geometry improves kernel two-sample testing

5 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2021★ 2 cited

Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates

Nicholas J. Irons, Meyer Scetbon, Soumik Pal +1

Triangular flows, also known as Knöthe-Rosenblatt measure couplings, comprise an important building block of normalizing flow models for generative modeling and density estimation,…

stat.ML2019★ 5 cited

Comparing distributions: $ℓ_{1}$ geometry improves kernel two-sample testing

M. Scetbon, G. Varoquaux

Are two sets of observations drawn from the same distribution? This problem is a two-sample test. Kernel methods lead to many appealing properties. Indeed state-of-the-art approach…

Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates

Comparing distributions: ℓ1​ geometry improves kernel two-sample testing

Comparing distributions: $ℓ_{1}$ geometry improves kernel two-sample testing