Program

Thursday, March 21, 2019

Time Event  
09:00 - 09:30 Coffee break (Cafétéria LAL)  
09:30 - 10:00 Phase transitions in statistical inference (Auditorium Pierre Lehmann) - Marc Mézard (ENS, Paris)  
10:00 - 10:30 Sparse matrix factorization, and its applications in astrophysics (Auditorium Pierre Lehmann) - Jerome Bobin (CosmoStat, CEA)  
10:30 - 11:00 Attacking inverse problems with deep learning (Auditorium Pierre Lehmann) - Patrick Perez (Valeo AI, Paris)  
11:00 - 11:30 Coffee break (Cafétéria LAL)  
11:30 - 12:00 The Cosmostatistics Initiative - reshaping interdisciplinary science development (Auditorium Pierre Lehmann) - Emille Ishida (LPC, Univ. Pascal)  
12:00 - 12:15 Single biomolecule at the age of Big Data: Probabilistic Pipeline and identity of random walks (Auditorium Pierre Lehmann) - Jean-Baptiste Masson (Institut Pasteur)  
12:15 - 12:40 Neuromorphic functionalities in transition metal oxides systems (Auditorium Pierre Lehmann) - Marcelo Rozenberg (LPS, Orsay)  
12:40 - 14:00 Lunch  
14:00 - 14:30 Advances in Machine Learning in High Energy Physics (Auditorium Pierre Lehmann) - David Rousseau (LAL, Université Paris-Saclay)  
14:30 - 15:00 Distributional Reinforcement Learning (Auditorium Pierre Lehmann) - Rémi Munos (Google DeepMind)  
15:00 - 15:30 Is ML ready for HEP (Auditorium Pierre Lehmann) - Cécile Germain (LRI, Univ. Paris-Saclay)  
15:30 - 16:00 Optimization strategies for fast unsupervised learning on multivariate time-series (Auditorium Pierre Lehmann) - Alexandre Gramfort (Inria, Parietal Team, Univ. Paris-Saclay)  
16:00 - 16:30 Coffee break (Cafétéria LAL)  
16:30 - 16:45 Thermodynamics of Restricted Boltzmann Machines (Auditorium Pierre Lehmann) - Giancarlo Fissore (LRI, Univ. Paris-Saclay)  
16:45 - 17:00 A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks (Auditorium Pierre Lehmann) - Umut Simsekli (Telecom ParisTech)  
17:00 - 17:15 Introduction of IPa (Auditorium Pierre Lehmann) - Denis Ullmo (Directeur Institut Pascal)  
17:15 - 19:00 Poster Session, discussions and guided visit of ACO museum (Espace ACO)
 

Friday, March 22, 2019

Time Event  
09:00 - 09:30 Coffee break (Cafétéria LAL)  
09:30 - 10:00 Multiscale Physical Data Analysis with Deep Neural Networks (Auditorium Pierre Lehmann) - Stephane Mallat (ENS and College de France, Paris)  
10:00 - 10:30 Reconstructing the mutational landscape of protein from sequence data (Auditorium Pierre Lehmann) - Simona Cocco (LPS, ENS, Paris)  
10:30 - 11:00 Machine learning on the symmetric group (Auditorium Pierre Lehmann) - Jean Philippe Vert (Google Brain, Paris)  
11:00 - 11:30 Coffee break (Cafétéria LAL)  
11:30 - 12:00 Likelihood-free inference in Physical Sciences (Auditorium Pierre Lehmann) - Gilles Louppe (Université de Liège)  
12:00 - 12:15 Emulating cosmic web simulations with Generative Adversarial Networks (Auditorium Pierre Lehmann) - Marion Ullmo (IAS)  
12:15 - 12:30 Variational neural network ansatz for steady-states in open quantum systems (Auditorium Pierre Lehmann) - Filippo Vicentini (Laboratoire MPQ, Univ. Paris Diderot)  
12:30 - 13:50 Lunch (Espace ACO)  
13:50 - 14:20 On the capacity limit point in negative perceptrons, and two layer networks (Auditorium Pierre Lehmann) - Silvio Franz (LPTMS, Orsay)  
14:20 - 14:50 Optical random features for large-scale machine learning (Auditorium Pierre Lehmann) - Laurent Daudet (LightOn, Paris)  
14:50 - 15:20 Scaling of generalisation with number of parameters in deep learning (Auditorium Pierre Lehmann) - Matthieu Wyart (EPFL, Lausanne)  
15:20 - 15:50 Coffee break (Cafétéria LAL)  
15:50 - 16:20 Taming chaos with Collective and Artificial Intelligences: From Physics to Society (Auditorium Pierre Lehmann) - Raphael Lasseri (CEA/IRFU/ESNT)  
16:20 - 16:35 Interpretable machine learning techniques for CLAS12 data analysis (Auditorium Pierre Lehmann) - Noëlie Cherrier (CEA, LIST and Irfu)  
16:35 - 16:50 InTheArt (Auditorium Pierre Lehmann) - Valerie Gautard (CEA/IRFU)  
  
e
Online user: 1