activity
20102023
most citedSelf-Similar Anisotropic Texture Analysis: the Hyperbolic Wavelet Transform Contribution

54 citations · 104 across the 27 of their papers we have counts for

collaborators

31 papers

math.NA2023

On factorization of rank-one auto-correlation matrix polynomials

Konstantin Usevich, Julien Flamant, Marianne Clausel +1

This article characterizes the rank-one factorization of auto-correlation matrix polynomials. We establish a sufficient and necessary uniqueness condition for uniqueness of the fac…

math.RA2023

The barycenter in free nilpotent Lie groups and its application to iterated-integrals signatures

Marianne Clausel, Joscha Diehl, Raphael Mignot +3

We establish the well-definedness of the barycenter (in the sense of Buser and Karcher) for every integrable measure on the free nilpotent Lie group of step (over $\mathbb{R}^d…

eess.SP2022

Polarimetric phase retrieval: uniqueness and algorithms

Julien Flamant, Konstantin Usevich, Marianne Clausel +1

This work introduces a novel Fourier phase retrieval model, called polarimetric phase retrieval that enables a systematic use of polarization information in Fourier phase retrieval…

cs.LG2022

Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection

Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc +4

We study short-term prediction of wind speed and wind power (every 10 minutes up to 4 hours ahead). Accurate forecasts for these quantities are crucial to mitigate the negative eff…

cs.IR2022

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)

Aleksandra Burashnikova, Yury Maximov, Marianne Clausel +3

This paper is an extended version of [Burashnikova et al., 2021, arXiv: 2012.06910], where we proposed a theoretically supported sequential strategy for training a large-scale Reco…

cs.IR2021

Recommender systems: when memory matters

Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini +2

In this paper, we study the effect of long memory in the learnability of a sequential recommender system including users' implicit feedback. We propose an online algorithm, where m…