Image Compression with Geometrical Wavelets. - Erwan Le Pennec; Stéphane Mallat (ICIP, 2000)

Bandelet representations for image compression. - Erwan Le Pennec; Stéphane Mallat (ICIP (1), 2001)

Geometrical image compression with bandelets. - Erwan Le Pennec; Stéphane Mallat (VCIP, 2003)

Bandelet Image Approximation and Compression. - Erwan Le Pennec; Stéphane Mallat (Multiscale Model. Simul., 2005)

Sparse geometric image representations with bandelets. - Erwan Le Pennec; Stéphane Mallat (IEEE Trans. Image Process., 2005)

NL-Means and aggregation procedures. - Joseph Salmon; Erwan Le Pennec (ICIP, 2009)

Thresholding methods to estimate copula density. - Florent Autin; Erwan Le Pennec; Karine Tribouley (J. Multivar. Anal., 2010)

Bandlet image estimation with model selection. - Charles Dossal; Erwan Le Pennec; Stéphane Mallat (Signal Process., 2011)

Some (statistical) applications of Ockham's principle. - Erwan Le Pennec (2013)

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. - Rémi Besson; Erwan Le Pennec; Stéphanie Allassonnière; Julien Stirnemann; Emmanuel Spaggiari; Antoine Neuraz (CoRR, 2018)

Energy Management for Microgrids: a Reinforcement Learning Approach. - Tanguy Levent; Philippe Preux; Erwan Le Pennec; Jordi Badosa; Gonzague Henri; Yvan Bonnassieux (ISGT Europe, 2019)

Learning from Both Experts and Data. - Rémi Besson; Erwan Le Pennec; Stéphanie Allassonnière (Entropy, 2019)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. - Rémi Besson; Erwan Le Pennec; Emmanuel Spaggiari; Antoine Neuraz; Julien Stirnemann; Stéphanie Allassonnière (ICAART (2), 2020)

Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning. - Frédéric Logé; Erwan Le Pennec; Habiboulaye Amadou Boubacar (CoRR, 2020)

Causal and Interpretable Rules for Time Series Analysis. - Amin Dhaou; Antoine Bertoncello; Sébastien Gourvénec; Josselin Garnier; Erwan Le Pennec (KDD, 2021)

Intelligent Questionnaires Using Approximate Dynamic Programming. - Frédéric Logé; Erwan Le Pennec; Habiboulaye Amadou Boubacar (i-com, 2021)

Robust Reinforcement Learning with Distributional Risk-averse formulation. - Pierre Clavier; Stéphanie Allassonnière; Erwan Le Pennec (CoRR, 2022)

Input uncertainty propagation through trained neural networks. - Paul Monchot; Loic Coquelin; Sébastien Julien Petit; Sébastien Marmin; Erwan Le Pennec; Nicolas Fischer (ICML, 2023)

A multiscale algorithm for computing realistic image transformations: application to the modelling of fetal brain growth. - Fleur Gaudfernau; Stéphanie Allassonière; Erwan Le Pennec (Image Processing, 2023)

Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming. - Orso Forghieri; Hind Castel; Emmanuel Hyon; Erwan Le Pennec (ICAPS, 2024)

Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms. - Pierre Clavier; Laixi Shi; Erwan Le Pennec; Eric Mazumdar; Adam Wierman; Matthieu Geist (NeurIPS, 2024)

Towards Minimax Optimality of Model-based Robust Reinforcement Learning. - Pierre Clavier; Erwan Le Pennec; Matthieu Geist (UAI, 2024)

Bootstrapping Expectiles in Reinforcement Learning. - Pierre Clavier; Emmanuel Rachelson; Erwan Le Pennec; Matthieu Geist (CoRR, 2024)

DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor. - Imane Ben M'Barek; Grégoire Jauvion; Jade Merrer; Martin Koskas; Olivier Sibony; Pierre-François Ceccaldi; Erwan Le Pennec; Julien Stirnemann (Comput. Biol. Medicine, 2025)

Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework. - Fleur Gaudfernau; Eléonore Blondiaux; Stéphanie Allassonnière; Erwan Le Pennec (J. Math. Imaging Vis., 2025)