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ORCIDPatricia Reynaud-Bouret
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2020 – today
- 2024
[c5]Sophie Jaffard, Samuel Vaiter, Alexandre Muzy, Patricia Reynaud-Bouret:
Provable local learning rule by expert aggregation for a Hawkes network. AISTATS 2024: 1837-1845- 2023
- [j8]Tien Cuong Phi
, Eva Löcherbach, Patricia Reynaud-Bouret:
Kalikow decomposition for counting processes with stochastic intensity and application to simulation algorithms. J. Appl. Probab. 60(4): 1469-1500 (2023) - [j7]Cyrille Mascart, David R. C. Hill, Alexandre Muzy, Patricia Reynaud-Bouret:
Efficient Simulation of Sparse Graphs of Point Processes. ACM Trans. Model. Comput. Simul. 33(1-2): 1:1-1:27 (2023) - [c4]Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret:
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm. ICML 2023: 1244-1275 - [i5]Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret:
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm. CoRR abs/2305.06660 (2023) - 2022
- [j6]Cyrille Mascart, Gilles Scarella, Patricia Reynaud-Bouret, Alexandre Muzy:
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity. Neural Comput. 34(9): 1915-1943 (2022) - 2020
- [j5]Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret:
Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks. SN Comput. Sci. 1(1): 35:1-35:10 (2020)
2010 – 2019
- 2019
- [j4]Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett:
A Data-Dependent Weighted LASSO Under Poisson Noise. IEEE Trans. Inf. Theory 65(3): 1589-1613 (2019) - [i4]Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret:
Large scale Lasso with windowed active set for convolutional spike sorting. CoRR abs/1906.12077 (2019) - [i3]Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret:
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks. CoRR abs/1910.10576 (2019) - 2016
- [j3]Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret:
Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue. Neural Comput. 28(11): 2352-2392 (2016) - [c3]Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett:
Genomic transcription regulatory element location analysis via poisson weighted lasso. SSP 2016: 1-5 - 2015
- [i2]Julien Chevallier, María J. Cáceres, Marie Doumic, Patricia Reynaud-Bouret:
Microscopic approach of a time elapsed neural model. CoRR abs/1506.02361 (2015) - [i1]Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett:
A data-dependent weighted LASSO under Poisson noise. CoRR abs/1509.08892 (2015) - 2014
- [j2]Christine Tuleau-Malot, Amel Rouis, Franck Grammont, Patricia Reynaud-Bouret:
Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count. Neural Comput. 26(7): 1408-1454 (2014) - 2013
- [c2]Patricia Reynaud-Bouret, Vincent Rivoirard, Christine Tuleau-Malot:
Inference of functional connectivity in Neurosciences via Hawkes processes. GlobalSIP 2013: 317-320 - 2012
- [j1]Marie Doumic, M. Hoffmann, Patricia Reynaud-Bouret, Vincent Rivoirard:
Nonparametric Estimation of the Division Rate of a Size-Structured Population. SIAM J. Numer. Anal. 50(2): 925-950 (2012) - [c1]Magalie Fromont, Béatrice Laurent, Matthieu Lerasle, Patricia Reynaud-Bouret:
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems. COLT 2012: 23.1-23.23
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