Machine Learning and Signal Processing
Past Machine Learning and Signal Processing seminars
François Bouchut
François Bouchut (DR CNRS, Université Gustave Eiffel)A fast semi-exact primal-dual method for steady viscoplastic flows
Jul 01, 2025 from 01:00 to 02:00 — M7 101
Julie Alberge
Julie Alberge (PhD Student, inria Saclay, Soda team)Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Jun 17, 2025 from 01:00 to 02:00 — M7 101
Philippe Roudot
Philippe Roudot (CNRS Researcher and CENTURI Group Leader @ Institut Fresnel, Marseille)Tracking cellular processes in living tissues: from pattern recognition to pattern mining
May 27, 2025 from 01:00 to 02:00 — M7 101
Badr Moufad
Badr Moufad (PhD student, Ecole Polytechnique)Variational Diffusion Posterior Sampling with Midpoint Guidance.
Apr 15, 2025 from 01:00 to 02:00 — M7 101
Sylvain Sardy
Sylvain Sardy (Prof. associé, Université de Genève)Training a neural network for data reduction and better generalization: towards intelligent artificial intelligence.
Apr 08, 2025 from 01:00 to 02:00 — M7 101
Romain Vo
Romain Vo (post-doc, Lab. Physique, ENS de Lyon)Deep Learning Methods for Sparse-View 3D X-ray Computed Tomography
Apr 01, 2025 from 01:00 to 02:00 — M7 101
Ashesh Ashesh
Ashesh Ashesh (PHD Student, Human Technopole, Milano, Italy)Image decomposition in Fluorescence Microscopy: A posterior sampling based approach
Mar 18, 2025 from 01:00 to 02:00 — M7 101
Martin Gjorgjevski
Martin Gjorgjevski (PHD Student - GIPSA-lab)Node Regression on Latent Position Random Graphs via Local Averaging
Feb 25, 2025 from 01:00 to 02:00 — M7 101
Eloi Tanguy
Eloi Tanguy (PHD Student, Université Paris Cité)Properties of Discrete Sliced Wasserstein Losses
Feb 18, 2025 from 01:00 to 02:00 — M7 101
Ioannis Chalkiadakis
Ioannis Chalkiadakis (post-doc CNRS, ISC-PIF)An inhomogeneous Poisson process model for text time-series signals
Jan 28, 2025 from 01:00 to 02:00 — M7 101
Valérie Castin
Valérie Castin (PhD student, ENS PSL)How Smooth Is Attention?
Jan 21, 2025 from 01:00 to 02:00 — M7 101
Cesar CAIAFA
Cesar CAIAFA (CONICET, UBA)Low-rank and sparse tensor decompositions with applications in signal processing
Jan 16, 2025 from 01:00 to 02:00
François Schwarzentruber
François Schwarzentruber (Prof., Département Informatique, LIP, ENS de Lyon)A Logic for Reasoning about Aggregate-Combine Graph Neural Networks
Jan 14, 2025 from 01:00 to 02:00
Scott Pesme
Scott Pesme (post-doc in the Thoth team at Inria Grenoble)Deep learning theory through the lens of diagonal linear networks
Dec 10, 2024 from 12:45 to 01:45
Clément Bonet
Clément Bonet (postdoctoral researcher at ENSAE/CREST)Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
Dec 03, 2024 from 01:00 to 02:00
Hippolyte Labarriere
Hippolyte Labarriere (post-doctorat au Laboratoire d'apprentissage informatique et statistique (LCSL), University of Genova)Inertia in Optimization: Acceleration and Adaptivity
Oct 22, 2024 from 01:00 to 02:00
Ségolène Martin
Ségolène Martin (postdoctoral researcher at TU Berlin)PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Oct 15, 2024 from 01:00 to 02:00
Jorge Bacca
Jorge Bacca (Assistant Professor, Computer Science Department, Universidad Industrial de Santander, Colombia)Modulo Imaging: Algorithms and Applications
Oct 08, 2024 from 01:00 to 02:00
Somantika Datta
Somantika Datta (Prof, Department of Mathematics and Statistical Science , University of Idaho)Construction of low coherence unit norm tight frames
Sep 16, 2024 from 01:00 to 02:00
Brett Levac
Brett Levac (PhD student at UT Austin)Generative Models for Blind Inverse Problems in Imaging
Sep 03, 2024 from 01:00 to 02:00
Hugo Chao Cui
Hugo Chao Cui (Assistant-doctorant, Laboratoire de physique statistique des systèmes computationnels)Learning of narrow neural networks in high dimensions
Jul 23, 2024 from 01:00 to 02:00
Rebecca Willett
Rebecca Willett (Professor of Statistics and Computer Science, University of Chicago)Learning Low-rank Functions With Neural Networks
Jul 02, 2024 from 01:00 to 02:00
Blaise Delattre
Blaise Delattre (PHD Student - FOXSTREAM - Université Paris Dauphine - PSL)Spectral norm estimation in deep learning
Jun 06, 2024 from 01:00 to 02:00
Laurent Jacques
Laurent Jacques (FNRS Senior Research Associate and Professor, UCLouvain, Belgium)Learning to Reconstruct From Binary Measurements Only
May 21, 2024 from 01:00 to 02:00
Johannes Maly
Johannes Maly (Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich)How to Estimate Covariance Matrices from One-Bit Samples
May 16, 2024 from 01:00 to 02:00
Jeremias Sulam
Jeremias Sulam (Johns Hopkins University)Yes, my deep network works! But.. what did it learn?
May 14, 2024 from 03:00 to 04:00
Cyril Letrouit
Cyril Letrouit (chercheur CNRS, Laboratoire de Mathématiques d'Orsay)Quelques aspects mathématiques de l'analyse des Transformers
Apr 16, 2024 from 01:00 to 02:00
Hugo Lebeau
Hugo Lebeau (PhD Student, Université Grenoble Alpes)A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
Apr 09, 2024 from 01:00 to 02:00
Steeven Janny
Steeven Janny (PhD, INSA Lyon, LIRIS)Deep Learning for Fluid dynamics simulation
Apr 02, 2024 from 01:00 to 02:00
Jonathan Dong
Jonathan Dong (post-doc EPFL)Random matrices in optics: optical computing and computational imaging
Mar 19, 2024 from 01:00 to 02:00
Louise Budzynski
Louise Budzynski (post-doc à La Sapienza, Rome)Statistical mechanics of inference and optimization problems in high dimensions: application to spreading processes on random networks
Mar 12, 2024 from 01:00 to 02:00
Ambroise Odonnat
Ambroise Odonnat (ENS Paris-Saclay - MVA | Ecole Nationale des Ponts ParisTech)Leveraging Ensemble Diversity for Robust Self-Training in the presence of Sample Selection Bias
Mar 05, 2024 from 01:00 to 02:00
Mauricio Delbracio
An Alternative to Denoising Diffusion for Image Restoration
Feb 13, 2024 from 04:30 to 05:30
Ernesto Araya Valdivia
Graph Matching via the Projected Power Method and Mirror Descent.
Feb 06, 2024 from 01:00 to 02:00
Fatemeh Ghayyem
Exploring brain function and structure: From sparse coding to multimodal metadata analysisFatemeh Ghayyem (MIND team at Inria Paris-Saclay)
Feb 05, 2024 from 01:00 to 02:00
Matthieu Gallet
Matthieu Gallet (LISTIC)Applications à l'imagerie RADAR, inversion et classification
Jan 30, 2024 from 01:00 to 02:00
Scott Pesme
Scott Pesme (PhD student at EPFL)Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Jan 16, 2024 from 01:00 to 02:00
Valentin Debarnot
Learning for electron and fluorescence microscopy
Jan 09, 2024 from 01:00 to 02:00
Antoine Maillard
Fitting ellipsoids to random pointsAntoine Maillard (FIM (Institute for Mathematical Research) and the department of mathematics at ETH Zurich)
Nov 22, 2023 from 01:00 to 02:00 — M7 101
Camille Castera
Near-optimal Closed-loop Method via Lyapunov Damping for Convex OptimizationCamille Castera (University of Tübingen)
Nov 21, 2023 from 01:00 to 02:00 — M7 101
Pauline Mouchès
CNNs and graph convolution networks for event detection in brain activity recordings of epilepsy patientsPauline Mouchès
Nov 14, 2023 from 02:00 to 03:00 — MGN1 105
Johannes Maly
A simple approach for quantizing neural networksJohannes Maly
Oct 31, 2023 from 01:00 to 02:00
Tatiana Gelvez-Barrera
Model-based Beamforming Method for Acoustic Imaging in Medical and Industrial Applications.Tatiana Gelvez-Barrera
Oct 10, 2023 from 01:00 to 02:00
Luis Briceño-Arias
Theoretical and numerical comparison of algorithms for smooth optimizationLuis Briceño-Arias
Sep 19, 2023 from 01:00 to 02:00
Samuel Hurault
Samuel Hurault (PhD student at I.M.B Bordeaux)On the convergence of deep plug-and-play methods for image restoration
Jun 20, 2023 from 01:00 to 02:00
Subhayan Saha
Subhayan Saha (PhD Student in Computer Science at École Normale Supérieure de Lyon)TBA
May 16, 2023 from 01:00 to 02:00
Ludovic Stéphan
Ludovic Stéphan (postdoctoral student in the IdePHICS lab at EPFL)Low-dimensional representations for Stochastic Gradient Descent
May 09, 2023 from 01:00 to 02:00
Lorena Léon
Lorena León, CREATISA Bayesian Approach for Multivariate Multifractal Analysis
May 02, 2023 from 01:00 to 02:00
Marcelo Pereyra
Marcelo Pereyra (Associate Professor at Heriot-Watt University)Bayesian inference with generative priors encoded by neural networks
Apr 26, 2023 from 01:00 to 02:00
Thomas Moreau
Thomas Moreau (INRIA Saclay)Modeling Brain Waveforms with Convolutional Dictionary Learning and Point Processes
Apr 25, 2023 from 01:00 to 02:00
Damien Garreau
Damien Garreau (MCF at J. A. Dieudonné laboratory, Université Côte d'Azur).On the Robustness of Text Vectorizers
Apr 18, 2023 from 01:00 to 02:00
Luca Calatroni
Luca Calatroni (CNRS researcher in the Morpheme team at the I3S laboratory in Sophia-Antipolis, France)Towards parameter-free (strongly convex) FISTA via adaptive backtracking and restart
Apr 11, 2023 from 01:00 to 02:00
Tony Silveti-Falls
Tony Silveti-Falls (CentraleSupélec/University of Paris-Saclay)Non smooth implicit differentiation
Apr 04, 2023 from 02:00 to 03:00
Olivier Bernard
Olivier Bernard (CREATIS)Learning of latent spaces dedicated to the segmentation of medical images
Apr 04, 2023 from 01:00 to 02:00
Laura Thesing
Laura Thesing (Postdoctoral researcher - LMU Munich)Universal approximation with neural networks through the lens of computability
Mar 21, 2023 from 01:00 to 02:00
Pakshal Bohra
Pakshal Bohra (PhD Student, EPFL, with M. Unser)Learning Activation Functions in Neural Networks
Mar 14, 2023 from 01:00 to 02:00
Jean-Yves Tourneret
Jean-Yves Tourneret (Professeur à l'INP-ENSEEIHT, Toulouse)Hypersphere Fitting: Model, Algorithms and Future Work
Mar 07, 2023 from 01:00 to 02:00
Fabio Pavanello
Fabio Pavanello (CR CNRS, Lyon Institute of Nanotechnology (INL))Harnessing complexity in photonics for neuromorphic computing and security applications
Feb 28, 2023 from 01:00 to 02:00
Arnaud Breloy
Arnaud Breloy (associate professor at University Paris Nanterre and the LEME laboratory)Learning Graphical Factor Models with Riemannian Optimization
Feb 21, 2023 from 01:00 to 02:00
Geert-Jan Huizing
Geert-Jan Huizing (PhD student at École normale supérieure PSL)Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
Jan 24, 2023 from 01:00 to 02:00
Camille Castera
Camille Castera (postdoc at the University of Tübingen)Second-order inertial algorithms for very large-scale optimization
Jan 10, 2023 from 01:00 to 02:00
Michaël Fanuel
Michaël Fanuel (CNRS postdoc at CRIStAL in the SigMA team in Lille)Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Dec 13, 2022 from 01:00 to 02:00
Ulugbek S. Kamilov
Ulugbek S. Kamilov (Washington University, St. Louis)Plug-and-Play Models for Large-Scale Computational Imaging
Dec 09, 2022 from 10:30 to 11:30
Sundeep Prabhakar Chepuri
Sundeep Prabhakar Chepuri (Indian Institue of Science, Bangalore)Graph Neural Networks with Precomputed Features
Dec 06, 2022 from 01:00 to 02:00
Antoine Villie
Antoine Villie (PhD student, LBBE, Lyon)Neural networks beyond explainability: selective inference for sequence motifs
Nov 29, 2022 from 01:00 to 02:00
Harry Sevi
Harry Sevi (post-doc, ENS Paris-Saclay, Centre Borelli))A new clustering approach for directed graphs
Nov 22, 2022 from 01:00 to 02:00
Mathieu Besançon
Mathieu Besançon (Zuse Institute Berlin, in the AI in Society, Science, and Technology department)TBA
Nov 21, 2022 from 01:30 to 02:30
Barbara Pascal / Audrey Repetti / Julian Tachella / Titouan Vayer
One-day workshopVariational approaches for signal and image processing
Nov 18, 2022 from 10:00 to 05:00
Arnaud Descours
Arnaud Descours (PhD student, LMBP, Université Clermond Auvergne)Law of large numbers and central limit theorem for wide two-layer neural networks: the mini-batch and noisy case
Nov 15, 2022 from 01:00 to 02:00
Gilles Bareilles
Gilles Bareilles (PhD student, LJK, Université Grenoble Alpes)TBA
Oct 25, 2022 from 01:00 to 02:00
Loïc Denis
Loïc Denis (Professor Université de Saint-Etienne, Laboratoire Hubert Curien)Removing speckle in SAR images while maintaining spatial resolution: from classical image processing techniques to unsupervised deep learning
Oct 11, 2022 from 01:00 to 02:00
Barbara Pascal
Barbara Pascal (postdoctoral researcher à CRIStAL, SigMA team, LilleGeneralized time-frequency transforms and their zeros
Sep 28, 2022 from 02:00 to 03:00
Cyril Cano
Cyril Cano (PhD Student, GIPSA-lab, Grenoble ; encadrants : N. Le Bihan et E. Chassande-Mottin)Outils mathématiques et de traitement du signal pour l’étude polarimétrique des ondes gravitationnelles
Sep 27, 2022 from 01:00 to 02:00
Cesar Caiafa
Séminaire reporté ; Cesar Caiafa (Independent Researcher at CONICET - Adjunct Professor at University of Buenos Aires)Learning from incomplete features by simultaneous training of neural networks and sparse coding
Sep 13, 2022 from 01:00 to 02:00
Maxime Ferreira Da Costa
Maxime Ferreira Da Costa (research associate in the Department of Electrical and Computer Engineering, University of Southern California)Limites de résolution du problème de déconvolution de sources ponctuelles
Jun 29, 2022 from 01:00 to 02:00
Franck Picard
Franck Picard (DR CNRS, LBMC)Machine Learning for Single-Cell Biology
Jun 28, 2022 from 01:00 to 02:00
Sara El Bouch
Sara El Bouch (PhD Student, GIPSA-lab, Grenoble ; encadrants : Olivier Michel et Pierre Comon)Multivariate Normality Test for the detection of Weak Tremors
Jun 21, 2022 from 01:00 to 02:00
Nicolas Keriven ; Samuel Vaiter
Nicolas Keriven (CNRS, Gipsa) et Samuel Vaiter (CNRS, Université Côte d'Azur)2 talks: "Graph Neural Networks on Large Random Graphs: Convergence, Stability, Universality" and "Sélection d'hyperparamètres via la différentiation algorithmique"
Jun 17, 2022 from 01:00 to 02:30
Yusuf Yigit Pilavci
Yusuf Yigit Pilavci (PhD Student, GIPSA-lab, Grenoble ; encadrants : Pierre-Olivier Amblard ; Nicolas Tremblay ; Simon Barthelmé)Wilson’s Algorithm for Randomized Linear Algebra
Jun 09, 2022 from 01:00 to 03:00
Etienne Lasalle
Etienne Lasalle (PhD Student, Laboratoire de Mathématiques - Université Paris-Saclay - Orsay)Heat diffusion distance processes for graphs and their application to distribution shift detection
Jun 07, 2022 from 01:00 to 02:00
Ayoub Belhadji
Ayoub Belhadji (post-doc, LIP, ENS de Lyon)Kernel approximations using determinantal point processes
May 17, 2022 from 01:00 to 02:00
Ulysse Marteau-Ferey
Ulysse Marteau-Ferey (PhD, DI, ENS Paris)Sum of squares with Reproducing Kernel Hilbert Spaces, a path to global optimisation of regular functions
May 12, 2022 from 10:00 to 11:00
Adrian Basarab
Adrian Basarab (Prof Univ.Lyon 1; CREATIS)Deep unfolding network for image restoration by quantum interactive patches
May 10, 2022 from 01:00 to 02:00
Clara Lage
Clara Lage (post-doc, Ecole Polytechnique, Paris)Optimal ecological transition path using MMK formulation
May 03, 2022 from 01:00 to 02:00
Anthony Ozier-Lafontaine
Anthony Ozier-Lafontaine (Laboratoire de Mathématiques Jean Leray. Université de Nantes)(Reporté) Test non-paramétrique de comparaison d'échantillon basé sur les méthodes a noyaux: application au Single-Cell RNA sequencing
Apr 26, 2022 from 01:00 to 02:00
Cédric Vincent-Cuaz
Cédric Vincent-Cuaz (PhD candidate, Univ Nice)Optimal Transport for Unsupervised Graph Representation Learning
Apr 19, 2022 from 01:00 to 02:00
Nicolas Ducros
Nicolas Ducros (INSA de Lyon, CREATIS)Deep reconstruction methods for computational hyperspectral imaging
Apr 12, 2022 from 01:00 to 02:00
"Machine Learning and sampling methods for climate and physics"
Ronan Fablet (IMT Atlantique) ; Tom Beucler (UNIL, Lausanne) ; Manon Michel (UCA) ; Davide Feranda (LSCE, IPSL) ; George Miloshevich (ENSL, CNRS)Mini meeting "Machine Learning and sampling methods for climate and physics"
from Apr 04, 2022 01:30 to Apr 05, 2022 05:30
Hugues Van Assel
Hugues Van Assel (UMPA, ENS de Lyon)A Probabilistic Graph Coupling View of Dimension Reduction
Mar 29, 2022 from 01:00 to 02:00
Yann Issartel
Yann Issartel (post doc CREST)The Seriation and 1D-localization problems in latent space models.
Mar 08, 2022 from 01:00 to 02:00
Louis Duvivier
Louis Duvivier (ATER LIRIS & INSA de Lyon)Evaluation and comparison of graph statistical models
Mar 01, 2022 from 01:00 to 02:00
Mastane Achab
Mastane Achab (coming from post-doc at Universitat Pompeu Fabra)Robustness via distributional dynamic programming
Feb 15, 2022 from 01:00 to 02:00
Michael Arbel
Michael Arbel (post-doc à Grenoble, équipe J. Mairal)Divergences for Implicit Generative Models.
Dec 16, 2021 from 11:30 to 12:30
Bruno Loueiro
Bruno Loueiro (Post-doc, EPFL)Sur l'analyse statistique et algorithmique des problèmes inverses avec des signaux générés par réseaux de neurones aléatoires
Nov 22, 2021 from 04:00 to 05:00
Gaetan Frusque
Gaetan Frusque (post-doc ETH Zurich)Learnable Discrete Wavelet Transform for Data-Adapted Time-Frequency Representations
Nov 16, 2021 from 04:00 to 05:00
Vincent Schellekens
Vincent Schellekens (Inria, Dante - OCKHAM, LIP)Quantized Compressive Learning: from broad intuitions to precise guarantees
Nov 15, 2021 from 04:00 to 05:00
Myriam Bontonou
Myriam Bontonou (PhD candidate, IMT Atlantique, Lab-STICC)Few-Shot Learning on Graph-Structured Data: the Case of Brain Activation Maps
Jul 05, 2021 from 03:00 to 04:00
Alexandre ARAUJO
Alexandre ARAUJO (Université Paris-Dauphine PSL)Structured Toeplitz matrices to build compact and secure neural networks
Jul 01, 2021 from 03:45 to 04:45
Rémi Vaudaine
Rémi Vaudaine (Laboratoire Hubert Curien, Saint-Etienne)Contextual anomalies in graphs, detection and explanation
Jun 24, 2021 from 01:00 to 02:00
Franck Picard
Franck Picard (CNRS, LBMC, ENS de Lyon)Statistical foundations of stochastic neighbor embedding
May 20, 2021 from 10:00 to 11:00
Jérémy Cohen
Jérémy Cohen (CNRS, IRISA, équipe PANAMA, Rennes)Learning with Low-rank Approximations
May 06, 2021 from 10:00 to 11:00
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
Fabien Navarro
Fabien Navarro (enseignant-chercheur ENSAI, Rennes)Adaptive large-scale graph signal denoising
Mar 30, 2021 from 02:00 to 03:00
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
Guillaume Noyel
Guillaume Noyel (Research Director, International Prevention Research Institute, Dardilly (Métropole de Lyon), FranceTraitement morphologique et logarithmique d’images acquises sous éclairement variable
Mar 11, 2021 from 10:00 to 11:00
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
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
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
Carlos Lassance
Carlos Lassance (post-doctorant naverlabs.com ; Grenoble)Graph-based latent space analysis
Feb 26, 2021 from 02:30 to 03:30
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
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
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
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
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
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
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
Sixin Zhang
Sixin Zhang (IRIT, Université de Toulouse)Statistical maximum-entropy models for turbulence generation
Dec 10, 2020 from 09:30 to 10:30
François Malgouyres
François Malgouyres (IMT, Toulouse)Un point sur les réseaux à poids quantifiés
Nov 24, 2020 from 09:00 to 10:00 — Visio : https://ent-services.ens-lyon.fr/entVisio/quickjoin.php?hash=1321750ebd942062258b637f58c2209ddc6914e2a30297dd506c365d4c780fa3&meetingID=2481
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
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)
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
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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