output
20132022
most citedFine-Grained Visual Classification of Aircraft

1.2k citations

Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 8 cited

Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization

Arthur Marmin, Marc Castella, Jean-Christophe Pesquet +1

We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate. Our method formulates the reconstruction problem as a…

cs.CG2020★ 16 cited

Optimizing persistent homology based functions

Mathieu Carrière, Frédéric Chazal, Marc Glisse +2

Solving optimization tasks based on functions and losses with a topological flavor is a very active, growing field of research in data science and Topological Data Analysis, with a…

cs.LG2020

NodeSig: Binary Node Embeddings via Random Walk Diffusion

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros, Apostolos N. Papadopoulos

Graph Representation Learning (GRL) has become a key paradigm in network analysis, with a plethora of interdisciplinary applications. As the scale of networks increases, most of th…

math.OC2020★ 103 cited

Fixed Point Strategies in Data Science

Patrick L. Combettes, Jean-Christophe Pesquet

The goal of this paper is to promote the use of fixed point strategies in data science by showing that they provide a simplifying and unifying framework to model, analyze, and solv…

math.OC2020★ 28 cited

SPOQ -Over- Regularization for Sparse Signal Recovery applied to Mass Spectrometry

Afef Cherni, Emilie Chouzenoux, Laurent Duval +1

Underdetermined or ill-posed inverse problems require additional information for \ldd{d} sound solutions with tractable optimization algorithms. Sparsity yields consequent heuristi…