443 citations
- Centre National de la Recherche ScientifiqueFR470 papers
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- Université Paris-SaclayFR210 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR177 papers
- Centre de Physique ThéoriqueFR131 papers
- Télécom SudParisFR124 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR123 papers
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201 papers · 1 filter
A Lightweight Neural Model for Biomedical Entity Linking
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
Biomedical entity linking aims to map biomedical mentions, such as diseases and drugs, to standard entities in a given knowledge base. The specific challenge in this context is tha…
Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
A. Barakat, P. Bianchi, W. Hachem +1
In this paper, a general stochastic optimization procedure is studied, unifying several variants of the stochastic gradient descent such as, among others, the stochastic heavy ball…
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…
Provably robust blind source separation of linear-quadratic near-separable mixtures
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon
In this work, we consider the problem of blind source separation (BSS) by departing from the usual linear model and focusing on the linear-quadratic (LQ) model. We propose two prov…
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti +1
LOBSTER (LOss-Based SensiTivity rEgulaRization) is a method for training neural networks having a sparse topology. Let the sensitivity of a network parameter be the variation of th…
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays
Nicolas Furnon, Romain Serizel, Irina Illina +1
Deep neural network (DNN)-based speech enhancement algorithms in microphone arrays have now proven to be efficient solutions to speech understanding and speech recognition in noisy…