Publications

2023

• Signed tropicalization of polar cones
  
  • Akian Marianne
  • Allamigeon Xavier
  • Gaubert Stéphane
  • Sergeev Sergei
  , 2023.
• Crediting football players for creating dangerous actions in an unbiased way: the generation of threat (GoT) indices
  
  • Baouan Ali
  • Coustou Sebastien
  • Lacome Mathieu
  • Pulido Sergio
  • Rosenbaum Mathieu
  , 2023.
• A Multi-Level Fast-Marching Method For The Minimum Time Problem
  
  • Akian Marianne
  • Gaubert Stéphane
  • Liu Shanqing
  , 2023.
• Bit-complexity estimates in geometric programming, and application to the polynomial-time computation of the spectral radius of nonnegative tensors
  
  • Friedland Shmuel
  • Gaubert Stéphane
  , 2023.
• On the Impossible Safety of Large AI Models
  
  • El-Mhamdi El-Mahdi
  • Farhadkhani Sadegh
  • Guerraoui Rachid
  • Gupta Nirupam
  • Hoang Lê-Nguyên
  • Pinot Rafaël
  • Rouault Sébastien
  • Stephan John
  , 2023.
• On the polygonal Faber-Krahn inequality
  
  • Bogosel Beniamin
  • Bucur Dorin
  Journal de l'École polytechnique — Mathématiques, École polytechnique, 2023, 11, pp.19-105. (10.5802/jep.250)
  DOI : 10.5802/jep.250
• Credit Assignment in Deep Reinforcement Learning
  
  • Mesnard Thomas
  , 2023.
• Ergodic behavior of products of random positive operators
  
  • Ligonnière Maxime
  , 2023.
• Recent progress on limit theorems for large stochastic particle systems
  
  • Fathi Max
  • Le Bris Pierre
  • Menegaki Angeliki
  • Monmarché Pierre
  • Reygner Julien
  • Tomasevic Milica
  ESAIM: Proceedings and Surveys, EDP Sciences, 2023, 75, pp.2-23. (10.1051/proc/202375002)
  DOI : 10.1051/proc/202375002
• A stochastic model for neural progenitor dynamics in the mouse cerebral cortex
  
  • Clément Frédérique
  • Olayé Jules
  , 2023.
• Wave propagation in random media: beyond Gaussian statistics
  
  • Garnier Josselin
  ESAIM: Proceedings and Surveys, EDP Sciences, 2023, 74, pp.63-89. (10.1051/proc/202374063)
  DOI : 10.1051/proc/202374063
• Learning extreme expected shortfall with neural networks
  
  • Allouche Michaël
  • Girard Stéphane
  • Gobet Emmanuel
  , 2023.
• Optimizing Markov Chain Monte Carlo Convergence with Normalizing Flows and Gibbs Sampling
  
  • Schönle Christoph
  • Gabrié Marylou
  , 2023.
• Estimation of extreme expected shortfall with neural networks
  
  • Allouche Michaël
  • Girard Stéphane
  • Gobet Emmanuel
  , 2023.
• Résolution numérique de l'équation du transport de neutrons par la méthode des harmoniques sphériques et une méthode de Galerkin discontinue
  
  • Assogba Kenneth
  , 2023.
• Dynamics of dilute gases : a statistical approach
  
  • Bodineau Thierry
  • Gallagher Isabelle
  • Saint-Raymond Laure
  • Simonella Sergio
  , 2023, 2 (1), pp.750-795. (10.4171/ICM2022/130)
  DOI : 10.4171/ICM2022/130
• Random subsequences problems : asymptotics, variance, and quantum statistics.
  
  • Deslandes Clément
  , 2023.
• On Fundamental Proof Structures in First-Order Optimization
  
  • Goujaud Baptiste
  • Dieuleveut Aymeric
  • Taylor Adrien
  , 2023. (10.48550/arXiv.2310.02015)
  DOI : 10.48550/arXiv.2310.02015
• A Quantization Procedure for Nonlinear Pricing with an Application to Electricity Markets
  
  • Jacquet Quentin
  • van Ackooij Wim
  • Alasseur Clémence
  • Gaubert Stéphane
  , 2023.
• Convolutional Monge Mapping Normalization for learning on sleep data
  
  • Gnassounou Theo
  • Flamary Rémi
  • Gramfort Alexandre
  , 2023.
• SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
  
  • Van Assel Hugues
  • Vayer Titouan
  • Flamary Rémi
  • Courty Nicolas
  , 2023.
• Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
  
  • Pavasovic Krunoslav Lehman
  • Durmus Alain
  • Simsekli Umut
  , 2023.
• Nonlocal approximation of the anisotropic perimeter and application to topology optimization
  
  • Amstutz Samuel
  • Bogosel Beniamin
  , 2023.
• Plans d'expériences pour simulations numériques
  
  • Sire Charlie
  , 2023.
• New Convergence Analysis of GMRES with Weighted Norms, Preconditioning and Deflation, Leading to a New Deflation Space
  
  • Spillane Nicole
  • Szyld Daniel B
  , 2023.