Representing Languages by Learnable Rewriting Systems. - Rémi Eyraud; Colin de la Higuera; Jean-Christophe Janodet (ICGI, 2004)

Identification in the Limit of Substitutable Context-Free Languages. - Alexander Clark; Rémi Eyraud (ALT, 2005)

Learning Auxiliary Fronting with Grammatical Inference. - Alexander Clark; Rémi Eyraud (CoNLL, 2006)

Polynomial Identification in the Limit of Substitutable Context-free Languages. - Alexander Clark; Rémi Eyraud (J. Mach. Learn. Res., 2007)

LARS: A learning algorithm for rewriting systems. - Rémi Eyraud; Colin de la Higuera; Jean-Christophe Janodet (Mach. Learn., 2007)

A Polynomial Algorithm for the Inference of Context Free Languages. - Alexander Clark; Rémi Eyraud; Amaury Habrard (ICGI, 2008)

Using Contextual Representations to Efficiently Learn Context-Free Languages. - Alexander Clark; Rémi Eyraud; Amaury Habrard (J. Mach. Learn. Res., 2010)

Learning Substitutable Binary Plane Graph Grammars. - Rémi Eyraud; Jean-Christophe Janodet; Tim Oates 001 (ICGI, 2012)

Results of the PAutomaC Probabilistic Automaton Learning Competition. - Sicco Verwer; Rémi Eyraud; Colin de la Higuera (ICGI, 2012)

Very efficient learning of structured classes of subsequential functions from positive data. - Adam Jardine; Jane Chandlee; Rémi Eyraud; Jeffrey Heinz (ICGI, 2014)

PAutomaC: a probabilistic automata and hidden Markov models learning competition. - Sicco Verwer; Rémi Eyraud; Colin de la Higuera (Mach. Learn., 2014)

Learning Strictly Local Subsequential Functions. - Jane Chandlee; Rémi Eyraud; Jeffrey Heinz (Trans. Assoc. Comput. Linguistics, 2014)

Output Strictly Local Functions. - Jane Chandlee; Rémi Eyraud; Jeffrey Heinz (MOL, 2015)

Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata. - Denis Arrivault; Dominique Benielli; François Denis; Rémi Eyraud (ICGI, 2016)

Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. - Borja Balle; Rémi Eyraud; Franco M. Luque; Ariadna Quattoni; Sicco Verwer (ICGI, 2016)

Preface. - Rémi Eyraud; Colin de la Higuera; Makoto Kanazawa; Ryo Yoshinaka (Fundam. Informaticae, 2016)

Designing and Learning Substitutable Plane Graph Grammars. - Rémi Eyraud; Jean-Christophe Janodet; Tim Oates 001; Frédéric Papadopoulos (Fundam. Informaticae, 2016)

Explaining Black Boxes on Sequential Data using Weighted Automata. - Stéphane Ayache; Rémi Eyraud; Noé Goudian (ICGI, 2018)

Learning with Partially Ordered Representations. - Jane Chandlee; Rémi Eyraud; Jeffrey Heinz; Adam Jardine; Jonathan Rawski (CoRR, 2019)

An AI-powered blood test to detect cancer using nanoDSF. - Philipp O. Tsvetkov; Rémi Eyraud; Stéphane Ayache; Anton A. Bougaev; Soazig Malesinski; Hamed Benazha; Svetlana Gorokhova; Christophe Buffat; Caroline Dehais; Marc Sanson; Franck Bielle; Dominique Figarella-Branger; et al. (CoRR, 2020)

Deep Stacking Ensemble Learning Applied to Profiling Side-Channel Attacks. - Dorian Llavata; Eleonora Cagli; Rémi Eyraud; Vincent Grosso; Lilian Bossuet (CARDIS, 2023)

TAYSIR Competition: Transformer+RNN: Algorithms to Yield Simple and Interpretable Representations. - Rémi Eyraud; Dakotah Lambert; Badr Tahri Joutei; Aidar Gaffarov; Mathias Cabanne; Jeffrey Heinz; Chihiro Shibata (ICGI, 2023)

Length independent PAC-Bayes bounds for Simple RNNs. - Volodimir Mitarchuk; Clara Lacroce; Rémi Eyraud; Rémi Emonet; Amaury Habrard; Guillaume Rabusseau (AISTATS, 2024)

On the theoretical limit of gradient descent for Simple Recurrent Neural Networks with finite precision. - Volodimir Mitarchuk; Rémi Emonet; Rémi Eyraud; Amaury Habrard (Trans. Mach. Learn. Res., 2024)

Distillation of weighted automata from recurrent neural networks using a spectral approach. - Rémi Eyraud; Stéphane Ayache (Mach. Learn., 2024)

Unsupervised Horizontal Attacks against Public-Key Primitives with DCCA: - From Deep Canonical Correlation Analysis to Deep Collision Correlation Attacks -. - Dorian Llavata; Eleonora Cagli; Rémi Eyraud; Vincent Grosso; Lilian Bossuet (IACR Commun. Cryptol., 2025)