Matthieu Heitz

According to our database, Matthieu Heitz authored at least 6 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

STARK denoises spatial transcriptomics images via adaptive regularization.

Sharvaj Kubal, Naomi Graham, Matthieu Heitz, Andrew Warren, Michael P. Friedlander, Yaniv Plan, Geoffrey Schiebinger

CoRR, December, 2025

2022

Trajectory Inference via Mean-field Langevin in Path Space.

Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Ground Metric Learning on Graphs.

Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré

J. Math. Imaging Vis., 2021

2020

Eulerian methods for inverse problems using optimal transport. (Méthodes eulériennes pour les problèmes inverses en transport optimal).

Matthieu Heitz

PhD thesis, 2020

2018

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.

Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck

SIAM J. Imaging Sci., 2018

2017

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.

Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck

CoRR, 2017