Séminaires I2M
Séminaires par thème de recherche
- Séminaire Analyse Appliquée
- Séminaire Analyse et Géométrie
- Séminaire Arithmétique et Théorie de l’Information (ATI)
- Séminaire CENTURI (transverse)
- Séminaire CWS (Combinatorics on Words Seminar)
- Séminaire Doctorants CPT/I2M à Luminy
- Séminaire Doctorants Saint-Charles
- Séminaire Ernest
- Séminaire de Géométrie et de Topologie de Marseille
- Séminaire Hypatie (transverse PROBA Lyon-Marseille)
- Séminaire IOSSB (Interdisciplinary online seminar series on Biolocomotion)
- Séminaire Kifékoi
- Séminaire La Madeleine d’Euclide (inter-labos, FRUMAM)
- Séminaire Logique et Interactions
- Séminaire MABioS
- Séminaire Mathématiques, Évolution, Biologie (MEB)
- Séminaire Probabilités
- Séminaire Rauzy
- Séminaire Représentations des Groupes Réductifs (RGR)
- Séminaire Signal et Apprentissage (transverse)
- Séminaire Statistique
Événements passés
15
Nov
E. Morvant (LIF): A Well-founded PAC-Bayesian Majority Vote applied to the Nearest Neighbor Rule
A Well-founded PAC-Bayesian Majority Vote applied to the Nearest Neighbor Rule\n\nBy Emilie Morvant\, LIF.\n\nThe Nearest Neighbor (NN) [1] rule is probably the best-known classification method. [...]
08
Nov
Full Signal and Machine Learning afternoon session for welcoming new members.
13h30 Optimization of High Dimensional Functions: Application to a Pulse Shaping Problem, Mattias Gybels, LIF. 14h Nonlinear functional data analysis with reproducing kernels, Hachem Kadri, [...]
18
Oct
Nelly PUSTELNIK - A multicomponent proximal algorithm for Empirical Mode Decomposition
A multicomponent proximal algorithm for Empirical Mode Decomposition. By Nelly Pustelnik, ENS Lyon The Empirical Mode Decomposition (EMD) is known to be a powerful tool [...]
27
Sep
Sylvain TAKERKART - Learning from structured fMRI patterns using graph kernels
Learning from structured fMRI patterns using graph kernels. (by Sylvain Takerkart, LIF). Classification of medical images in multi-subjects settings is a difficult challenge due to [...]
20
Sep
Anaik OLIVERO - Phase Reconstruction Problem: Recent Advances and Applications for Audio Signals
Phase Reconstruction Problem: Recent Advances and Applications for Audio Signals (by Anaik Olivero, LIF/LATP). "Tout est dans le titre."
13
Sep
Thomas PEEL - Matching Pursuit with Stochastic Selection
Matching pursuit with stochastic selection (by Thomas Peel, LIF). We propose a Stochastic Selection strategy that ac- celerates the atom selection step of Matching Pursuit. [...]
03
Fév
Continuous spins, conservation and loss of the Gibbs property ; some examples and a program
Aernout van Enter
I review what is known about the preservation and/or loss of the Gibbs property for various models in which continuous spins are subjected to diffusive [...]
03
Fév
Gibbs and non-Gibbs measures in space and time
Frank Redig
Gibbs measures are the mathematical formalization of Boltzmann-Gibbs distributions and describe equilibrium states of extended systems in statistical mechanics. If one starts a system in [...]
02
Déc
BK inequalities
Jacob van den Berg and Alberto Gandolfi Introduction, review and new developments.
Top-down phylogenetic tree reconstruction - Celine Vens
Celine Vens
We propose a novel distance based method for reconstruction of phylogenetic trees. Our method is based on a conceptual clustering method that extends the decision [...]
17
Mar
Un nouveau modèle de population en espace continu : le processus Lambda-Fleming-Viot spatial
il y aura un exposé de l'intervenante le Mardi 16 mars (horaire à préciser, CMI) http://www.cmap.polytechnique.fr/~veber/ Amandine Véber
