Matthieu Heitz

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 6

Top Topics

Dictionary Learning

Variational Methods

Pairwise Similarities

Top Venues

SIAM J. Imaging Sci.

J. Math. Imaging Vis.

Publications

Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
Trajectory Inference via Mean-field Langevin in Path Space. NeurIPS (2022)
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
Trajectory Inference via Mean-field Langevin in Path Space. CoRR (2022)
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
Ground Metric Learning on Graphs. J. Math. Imaging Vis. 63 (1) (2021)
Matthieu Heitz, Nicolas Bonneel, David Coeurjolly, Marco Cuturi, Gabriel Peyré
Ground Metric Learning on Graphs. CoRR (2019)
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning. SIAM J. Imaging Sci. 11 (1) (2018)
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning. CoRR (2017)