Elsa Cazelles

According to our database, Elsa Cazelles authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

Enhancing time-frequency resolution with optimal transport and barycentric fusion of multiple spectrogram.

David Valdivia, Elsa Cazelles, Cédric Févotte

CoRR, April, 2026

PCA of probability measures: Sparse and Dense sampling regimes.

Erell Gachon, Jérémie Bigot, Elsa Cazelles

CoRR, February, 2026

Efficient Gaussian process learning via subspace projections.

Elsa Cazelles, Felipe Tobar

CoRR, January, 2026

On the Sequential Convergence of Lloyd's Algorithms.

Leo Portales, Elsa Cazelles, Edouard Pauwels

Math. Oper. Res., 2026

2025

Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing.

Clément Bonet, Elsa Cazelles, Lucas Drumetz, Nicolas Courty

CoRR, October, 2025

On the Wasserstein Geodesic Principal Component Analysis of probability measures.

Nina Vesseron, Elsa Cazelles, Alice Le Brigant, Thierry Klein

CoRR, June, 2025

Scalable and consistent embedding of probability measures into Hilbert spaces via measure quantization.

Erell Gachon, Elsa Cazelles, Jérémie Bigot

CoRR, February, 2025

Audio signal interpolation using optimal transportation of spectrograms.

David Valdivia, Marien Renaud, Elsa Cazelles, Cédric Févotte

Proceedings of the IEEE Statistical Signal Processing Workshop, 2025

2024

Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia.

Erell Gachon, Jérémie Bigot, Elsa Cazelles, Aguirre Mimoun, Jean-Philippe Vial

CoRR, 2024

2023

Computationally-efficient initialisation of GPs: The generalised variogram method.

Felipe A. Tobar, Elsa Cazelles, Taco de Wolff

Trans. Mach. Learn. Res., 2023

2021

The Wasserstein-Fourier Distance for Stationary Time Series.

Elsa Cazelles, Arnaud Robert, Felipe A. Tobar

IEEE Trans. Signal Process., 2021

Streaming computation of optimal weak transport barycenters.

Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona

CoRR, 2021

A novel notion of barycenter for probability distributions based on optimal weak mass transport.

Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Penalization of Barycenters in the Wasserstein Space.

Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis

SIAM J. Math. Anal., 2019

2018

Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space.

Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis

SIAM J. Sci. Comput., 2018

2017

Regularized Barycenters in the Wasserstein Space.

Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis

Proceedings of the Geometric Science of Information - Third International Conference, 2017