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Machine Learning and Signal Processing

Past Machine Learning and Signal Processing seminars

Franck Picard

Franck Picard (CNRS, LBMC, ENS de Lyon)
Statistical foundations of stochastic neighbor embedding
May 20, 2021 from 10:00 to 11:00

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Jérémy Cohen

Jérémy Cohen (CNRS, IRISA, équipe PANAMA, Rennes)
Learning with Low-rank Approximations
May 06, 2021 from 10:00 to 11:00

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Benjamin Girault

Benjamin Girault (enseignant-chercheur ENSAI, Rennes)
Leaving the Euclidean Norm in GSP: Theory, Applications and Perspectives
Apr 06, 2021 from 03:00 to 04:00

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Fabien Navarro

Fabien Navarro (enseignant-chercheur ENSAI, Rennes)
Adaptive large-scale graph signal denoising
Mar 30, 2021 from 02:00 to 03:00

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Julien Lesouple

Julien Lesouple (Post-doc fellow at TESA Laboratory)
Incorporating expert feedback into anomaly detection using support vector machines
Mar 25, 2021 from 01:00 to 02:00

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Guillaume Noyel

Guillaume Noyel (Research Director, International Prevention Research Institute, Dardilly (Métropole de Lyon), France
Traitement morphologique et logarithmique d’images acquises sous éclairement variable
Mar 11, 2021 from 10:00 to 11:00

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Titouan Vayer

Titouan Vayer (post-doctorant equipe inria DANTE ; ENS Lyon)
Optimal transport problemS for graphS learning
Mar 04, 2021 from 02:30 to 03:30

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Valerian Jacques-Dumas

Valerian Jacques-Dumas (étudiant ENSL, PLR équipe SISYPHE, Labo Physique, ENS Lyon)
Forecast of Extreme Heatwaves using Deep Learning
Mar 02, 2021 from 02:00 to 03:00

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Léonard Seydoux

Léonard Seydoux (post-doctorant ISTerre, Grenoble)
Analysis of complex physical systems with information theory and statistical learning
Mar 02, 2021 from 10:00 to 11:00

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Carlos Lassance

Carlos Lassance (post-doctorant ; Grenoble)
Graph-based latent space analysis
Feb 26, 2021 from 02:30 to 03:30

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Pedro L.C. Rodrigues

Pedro L. C. Rodrigues (post-doctorant équipe Parietal, INRIA-Saclay)
Leveraging Global Parameters for Flow-based Neural Posterior Estimation
Feb 25, 2021 from 10:00 to 11:00

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Lorenzo Dall'Amico

Lorenzo Dall'Amico (doctorant GIPSA-lab, Grenoble)
The Bethe-Hessian matrix for community detection in static and dynamical sparse graphs
Feb 09, 2021 from 02:00 to 03:00

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Julien Fageot

Julien Fageot (post-doctorant à McGill University)
TV- based methods for sparse reconstruction in continuous-domain
Feb 08, 2021 from 10:30 to 11:30

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Tom Dupré la Tour

Tom Dupré la Tour (post-doctorant, Univ. Berkeley, CA, USA)
Feature-space selection in voxelwise encoding models with banded ridge regression
Feb 03, 2021 from 06:00 to 07:00

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Augustin Cosse

Augustin Cosse (post-doctorant ENS Paris)
Efficacité de l'optimisation convexe pour le traitement du signal et la science des données
Feb 01, 2021 from 02:30 to 03:30

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Valentin De Bortoli

Valentin De Bortoli (post-doctorant, Univ Oxford)
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach
Jan 28, 2021 from 02:30 to 03:30

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Mathurin Massias

Mathurin Massias (post-doctorant à l'Université de Gènes)
Fast resolution resolution of structured inverse problems: extrapolation and iterative regularization
Jan 14, 2021 from 04:00 to 05:00

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Sixin Zhang

Sixin Zhang (IRIT, Université de Toulouse)
Statistical maximum-entropy models for turbulence generation
Dec 10, 2020 from 09:30 to 10:30

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François Malgouyres

François Malgouyres (IMT, Toulouse)
Un point sur les réseaux à poids quantifiés
Nov 24, 2020 from 09:00 to 10:00 Visio :

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Julian Tachella

Julian Tachella (School of Engineering, University of Edinburgh en post-doc avec Mike Davies)
Computational imaging: from applications to theory
Nov 13, 2020 from 02:30 to 03:30 M7 101

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Olivier Flasseur

Olivier Flasseur (Université de Lyon, Université Lyon1, ENS de Lyon, CNRS, Centre de Recherche Astrophysique de Lyon UMR 5574, F-69230, Saint-Genis-Laval, France)
Object detection, characterization and reconstructionfrom faint signals in images: applications in astronomy and microscopy
Oct 30, 2020 from 10:30 to 11:30 R 116 (GN1 Monod)

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Elisa Riccietti

Elisa Riccietti (Maitre de Conférence ENS de Lyon, membre de l’équipe Dante du LIP)
Second order optimization methods for the solution of large scale nonlinear noisy problems
Oct 14, 2020 from 11:00 to 12:00 Salle de réunion du LIP, M7-316, ENS de Lyon, Site Monod

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Quentin Duchemin

Quentin Duchemin (U. Paris-Est Marne-la-Vallée)
Link predictions
Oct 08, 2020 from 10:00 to 11:00 Salle de réunion M7 du LIP - 3e étage

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