activity
20172026
most citedMixed volumes and the Bochner method

23 citations · 72 across the 17 of their papers we have counts for

collaborators

20 papers

cs.LG2026

Jumping up and down: Denoiser diffusion models for discrete ordinal data

Yair Shenfeld, Ricardo Baptista, Stefano Peluchetti

Diffusion models are highly developed in continuous spaces for image and video domains. Recently, major advances have been made for discrete diffusion models for categorical data,…

stat.ML2026

Wasserstein Residuals: Learning Gradient Flows from Population Dynamics

Markus Heinonen, Yair Shenfeld, Ricardo Baptista +4

Reconstructing population dynamics is a central problem in the physical and data sciences. Often, the dynamics are modeled as a Wasserstein gradient flow (WGF): a curve of distribu…

cs.LG2026

Binomial flows: Denoising and flow matching for discrete ordinal data

Yair Shenfeld, Ricardo Baptista, Stefano Peluchetti

Flow-based generative modeling in continuous spaces exploit Tweedie's formula to express the denoiser (learned in training) as a score function (used in sampling). In contrast, thi…

math.OC2025

A dynamical formulation of multi-marginal optimal transport

Brendan Pass, Yair Shenfeld

We present a primal-dual dynamical formulation of the multi-marginal optimal transport problem for (semi-)convex cost functions. Even in the two-marginal setting, this formulation…

math.DG2025

Sectional curvature and matrix displacement convexity

Gautam Aishwarya, Liran Rotem, Yair Shenfeld

We show that the sectional curvature of a Riemannian manifold is nonnegative if, and only if, the entropy tensor is matrix displacement convex. As an application, under the assumpt…

math.AP2024

Optimal transport maps, majorization, and log-subharmonic measures

Guido De Philippis, Yair Shenfeld

Caffarelli's contraction theorem bounds the derivative of the optimal transport map between a log-convex measure and a strongly log-concave measure. We show that an analogous pheno…

math.PR2024

Improvement of Wu's logarithmic Sobolev inequality via the Poisson-Föllmer process

Shrey Aryan, Pablo López-Rivera, Yair Shenfeld

We give an alternative proof to Wu's logarithmic Sobolev inequality for the Poisson measure on the nonnegative integers using a stochastic variational formula for entropy. We show…

math.PR2024

The Poisson transport map

Pablo López-Rivera, Yair Shenfeld

We construct a transport map from Poisson point processes onto ultra-log-concave measures over the natural numbers, and show that this map is a contraction. Our approach overcomes…

math.AP2023

Matrix displacement convexity along density flows

Yair Shenfeld

A new notion of displacement convexity on a matrix level is developed for density flows arising from mean-field games, compressible Euler equations, entropic interpolation, and sem…

math.PR2023

Transportation onto log-Lipschitz perturbations

Max Fathi, Dan Mikulincer, Yair Shenfeld

We establish sufficient conditions for the existence of globally Lipschitz transport maps between probability measures and their log-Lipschitz perturbations, with dimension-free bo…

math.PR2023

Intrinsic dimensional functional inequalities on model spaces

Alexandros Eskenazis, Yair Shenfeld

We initiate a systematic study of intrinsic dimensional versions of classical functional inequalities which capture refined properties of the underlying objects. We focus on model…

math.CO2022★ 2 cited

The extremals of Stanley's inequalities for partially ordered sets

Zhao Yu Ma, Yair Shenfeld

Stanley's inequalities for partially ordered sets establish important log-concavity relations for sequences of linear extensions counts. Their extremals however, i.e., the equality…

math-ph2022

Exact renormalization groups and transportation of measures

Yair Shenfeld

This note provides a new perspective on Polchinski's exact renormalization group, by explaining how it gives rise, via the multiscale Bakry-Émery criterion, to Lipschitz transport…

math.PR2022★ 9 cited

On the Lipschitz properties of transportation along heat flows

Dan Mikulincer, Yair Shenfeld

We prove new Lipschitz properties for transport maps along heat flows, constructed by Kim and Milman. For (semi)-log-concave measures and Gaussian mixtures, our bounds have several…

math.PR2021★ 6 cited

The Brownian transport map

Dan Mikulincer, Yair Shenfeld

Contraction properties of transport maps between probability measures play an important role in the theory of functional inequalities. The actual construction of such maps, however…

math.MG2020★ 1 cited

The Extremals of the Alexandrov-Fenchel Inequality for Convex Polytopes

Yair Shenfeld, Ramon van Handel

The Alexandrov-Fenchel inequality, a far-reaching generalization of the classical isoperimetric inequality to arbitrary mixed volumes, lies at the heart of convex geometry. The cha…

math.PR2019

Stability of the logarithmic Sobolev inequality via the Föllmer Process

Ronen Eldan, Joseph Lehec, Yair Shenfeld

We study the stability and instability of the Gaussian logarithmic Sobolev inequality, in terms of covariance, Wasserstein distance and Fisher information, addressing several open…

math.MG2019★ 17 cited

The Extremals of Minkowski's Quadratic Inequality

Yair Shenfeld, Ramon van Handel

In a seminal paper "Volumen und Oberfläche" (1903), Minkowski introduced the basic notion of mixed volumes and the corresponding inequalities that lie at the heart of convex geomet…

math.MG2018★ 23 cited

Mixed volumes and the Bochner method

Yair Shenfeld, Ramon van Handel

At the heart of convex geometry lies the observation that the volume of convex bodies behaves as a polynomial. Many geometric inequalities may be expressed in terms of the coeffici…

math.PR2017★ 14 cited

The equality cases of the Ehrhard-Borell inequality

Yair Shenfeld, Ramon van Handel

The Ehrhard-Borell inequality is a far-reaching refinement of the classical Brunn-Minkowski inequality that captures the sharp convexity and isoperimetric properties of Gaussian me…