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2020 – today
- 2024
[c9]Orso Forghieri, Hind Castel, Emmanuel Hyon, Erwan Le Pennec:
Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming. ICAPS 2024: 221-229- [i6]Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec, Matthieu Geist:
Bootstrapping Expectiles in Reinforcement Learning. CoRR abs/2406.04081 (2024) - 2023
- [c8]Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer:
Input uncertainty propagation through trained neural networks. ICML 2023: 25140-25173 - [i5]Pierre Clavier, Erwan Le Pennec, Matthieu Geist:
Towards Minimax Optimality of Model-based Robust Reinforcement Learning. CoRR abs/2302.05372 (2023) - 2022
- [i4]Pierre Clavier, Stéphanie Allassonnière, Erwan Le Pennec:
Robust Reinforcement Learning with Distributional Risk-averse formulation. CoRR abs/2206.06841 (2022) - 2021
- [j6]Frédéric Logé
, Erwan Le Pennec, Habiboulaye Amadou Boubacar:
Intelligent Questionnaires Using Approximate Dynamic Programming. i-com 19(3): 227-237 (2021) - [c7]Amin Dhaou, Antoine Bertoncello, Sébastien Gourvénec, Josselin Garnier, Erwan Le Pennec:
Causal and Interpretable Rules for Time Series Analysis. KDD 2021: 2764-2772 - 2020
- [c6]Rémi Besson, Erwan Le Pennec, Emmanuel Spaggiari, Antoine Neuraz, Julien Stirnemann, Stéphanie Allassonnière:
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. ICAART (2) 2020: 475-482 - [i3]Frédéric Logé, Erwan Le Pennec, Habiboulaye Amadou Boubacar:
Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning. CoRR abs/2007.11880 (2020)
2010 – 2019
- 2019
- [j5]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière:
Learning from Both Experts and Data. Entropy 21(12): 1208 (2019) - [c5]Tanguy Levent, Philippe Preux, Erwan Le Pennec, Jordi Badosa, Gonzague Henri, Yvan Bonnassieux:
Energy Management for Microgrids: a Reinforcement Learning Approach. ISGT Europe 2019: 1-5 - [i2]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière:
Learning from both experts and data. CoRR abs/1910.09043 (2019) - 2018
- [i1]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz:
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. CoRR abs/1811.10112 (2018) - 2013
- [b1]Erwan Le Pennec:
Some (statistical) applications of Ockham's principle. University of Paris-Sud, Orsay, France, 2013 - 2011
- [j4]Charles Dossal, Erwan Le Pennec, Stéphane Mallat:
Bandlet image estimation with model selection. Signal Process. 91(12): 2743-2753 (2011) - 2010
- [j3]Florent Autin, Erwan Le Pennec, Karine Tribouley:
Thresholding methods to estimate copula density. J. Multivar. Anal. 101(1): 200-222 (2010)
2000 – 2009
- 2009
- [c4]Joseph Salmon, Erwan Le Pennec:
NL-Means and aggregation procedures. ICIP 2009: 2977-2980 - 2005
- [j2]Erwan Le Pennec, Stéphane Mallat:
Bandelet Image Approximation and Compression. Multiscale Model. Simul. 4(3): 992-1039 (2005) - [j1]Erwan Le Pennec, Stéphane Mallat:
Sparse geometric image representations with bandelets. IEEE Trans. Image Process. 14(4): 423-438 (2005) - 2003
- [c3]Erwan Le Pennec, Stéphane Mallat:
Geometrical image compression with bandelets. VCIP 2003: 1273-1286 - 2001
- [c2]Erwan Le Pennec, Stéphane Mallat:
Bandelet representations for image compression. ICIP (1) 2001: 12 - 2000
- [c1]Erwan Le Pennec, Stéphane Mallat:
Image Compression with Geometrical Wavelets. ICIP 2000: 661-664
Coauthor Index
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