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Nina Vesseron

4 papers hereh-index 314 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.GR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202026
collaborators

4 papers

cs.GR2026

GradRig: Differentiable Weights for Skinned Gaussian Splat Deformation

Nina Vesseron, Élie Michel

Skinned deformation is a common framework to turn a 3D shape from its rest pose into a dynamic pose through the deformation of a coarser kinematic structure, called rig. When appli…

stat.ML2025

On the Wasserstein Geodesic Principal Component Analysis of probability measures

Nina Vesseron, Elsa Cazelles, Alice Le Brigant +1

This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesi…

stat.ML2025

Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures

Nina Vesseron, Louis Béthune, Marco Cuturi

The canonical approach in generative modeling is to split model fitting into two blocks: define first how to sample noise (e.g. Gaussian) and choose next what to do with it (e.g. u…

cs.LG2020

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond

Nina Vesseron, Ievgen Redko, Charlotte Laclau

The theoretical analysis of deep neural networks (DNN) is arguably among the most challenging research directions in machine learning (ML) right now, as it requires from scientists…

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