Patricia Reynaud-Bouret

22 papers A* 2A 2Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration.
J. Mach. Learn. Res.
Sophie Jaffard, Samuel Vaiter, Patricia Reynaud-Bouret
2025 A conf
Model selection for behavioral learning data and applications to contextual bandits.
AISTATS
Julien Aubert, Louis Köhler, Luc Lehéricy, Giulia Mezzadri, Patricia Reynaud-Bouret
2025 J jnl
Model selection for behavioral learning data and applications to contextual bandits.
CoRR
Julien Aubert, Louis Köhler, Luc Lehéricy, Giulia Mezzadri, Patricia Reynaud-Bouret
2025 J jnl
Spiking Neural Models for Decision-Making Tasks with Learning.
CoRR
Sophie Jaffard, Giulia Mezzadri, Patricia Reynaud-Bouret, Etienne Tanré
2024 A conf
Provable local learning rule by expert aggregation for a Hawkes network.
AISTATS
Sophie Jaffard, Samuel Vaiter, Alexandre Muzy, Patricia Reynaud-Bouret
2023 J jnl
Efficient Simulation of Sparse Graphs of Point Processes.
ACM Trans. Model. Comput. Simul.
Cyrille Mascart, David R. C. Hill, Alexandre Muzy, Patricia Reynaud-Bouret
2023 J jnl
Kalikow decomposition for counting processes with stochastic intensity and application to simulation algorithms.
J. Appl. Probab.
Tien Cuong Phi, Eva Löcherbach, Patricia Reynaud-Bouret
2023 A* conf
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.
ICML
Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret
2023 J jnl
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.
CoRR
Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret
2022 J jnl
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity.
Neural Comput.
Cyrille Mascart, Gilles Scarella, Patricia Reynaud-Bouret, Alexandre Muzy
2020 J jnl
Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks.
SN Comput. Sci.
Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret
2019 J jnl
A Data-Dependent Weighted LASSO Under Poisson Noise.
IEEE Trans. Inf. Theory
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2019 J jnl
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks.
CoRR
Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret
2019 J jnl
Large scale Lasso with windowed active set for convolutional spike sorting.
CoRR
Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
2016 — conf
Genomic transcription regulatory element location analysis via poisson weighted lasso.
SSP
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2016 J jnl
Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue.
Neural Comput.
Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret
2015 J jnl
A data-dependent weighted LASSO under Poisson noise.
CoRR
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2015 J jnl
Microscopic approach of a time elapsed neural model.
CoRR
Julien Chevallier, María J. Cáceres, Marie Doumic, Patricia Reynaud-Bouret
2014 J jnl
Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count.
Neural Comput.
Christine Tuleau-Malot, Amel Rouis, Franck Grammont, Patricia Reynaud-Bouret
2013 — conf
Inference of functional connectivity in Neurosciences via Hawkes processes.
GlobalSIP
Patricia Reynaud-Bouret, Vincent Rivoirard, Christine Tuleau-Malot
2012 A* conf
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems.
COLT
Magalie Fromont, Béatrice Laurent, Matthieu Lerasle, Patricia Reynaud-Bouret
2012 J jnl
Nonparametric Estimation of the Division Rate of a Size-Structured Population.
SIAM J. Numer. Anal.
Marie Doumic, M. Hoffmann, Patricia Reynaud-Bouret, Vincent Rivoirard