Cryptanalysis of the Improved Cellular Message Encryption Algorithm. - Thomas Chardin; Raphaël Marinier (IACR Cryptol. ePrint Arch., 2008)

An Adaptive Chosen-plaintext Attack of the Improved Cellular Message Encryption Algorithm. - Thomas Chardin; Raphaël Marinier (Int. J. Netw. Secur., 2009)

Implicit Factoring with Shared Most Significant and Middle Bits. - Jean-Charles Faugère; Raphaël Marinier; Guénaël Renault (Public Key Cryptography, 2010)

Towards Accurate Generative Models of Video: A New Metric & Challenges. - Thomas Unterthiner; Sjoerd van Steenkiste; Karol Kurach; Raphaël Marinier; Marcin Michalski; Sylvain Gelly (CoRR, 2018)

Episodic Curiosity through Reachability. - Nikolay Savinov; Anton Raichuk; Damien Vincent; Raphaël Marinier; Marc Pollefeys; Timothy P. Lillicrap; Sylvain Gelly (ICLR (Poster), 2019)

FVD: A new Metric for Video Generation. - Thomas Unterthiner; Sjoerd van Steenkiste; Karol Kurach; Raphaël Marinier; Marcin Michalski; Sylvain Gelly (DGS@ICLR, 2019)

Credit Assignment as a Proxy for Transfer in Reinforcement Learning. - Johan Ferret; Raphaël Marinier; Matthieu Geist; Olivier Pietquin (CoRR, 2019)

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. - Lasse Espeholt; Raphaël Marinier; Piotr Stanczyk; Ke Wang; Marcin Michalski (ICLR, 2020)

Self-Attentional Credit Assignment for Transfer in Reinforcement Learning. - Johan Ferret; Raphaël Marinier; Matthieu Geist; Olivier Pietquin (IJCAI, 2020)

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. - Marcin Andrychowicz; Anton Raichuk; Piotr Stanczyk; Manu Orsini; Sertan Girgin; Raphaël Marinier; Léonard Hussenot; Matthieu Geist; Olivier Pietquin; Marcin Michalski; Sylvain Gelly; Olivier Bachem (CoRR, 2020)

What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. - Marcin Andrychowicz; Anton Raichuk; Piotr Stanczyk; Manu Orsini; Sertan Girgin; Raphaël Marinier; Léonard Hussenot; Matthieu Geist; Olivier Pietquin; Marcin Michalski; Sylvain Gelly; Olivier Bachem (ICLR, 2021)

Hyperparameter Selection for Imitation Learning. - Léonard Hussenot; Marcin Andrychowicz; Damien Vincent; Robert Dadashi; Anton Raichuk; Sabela Ramos; Nikola Momchev; Sertan Girgin; Raphaël Marinier; Lukasz Stafiniak; Manu Orsini; Olivier Bachem; et al. (ICML, 2021)

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning. - Sabela Ramos; Sertan Girgin; Léonard Hussenot; Damien Vincent; Hanna Yakubovich; Daniel Toyama; Anita Gergely; Piotr Stanczyk; Raphaël Marinier; Jeremiah Harmsen; Olivier Pietquin; Nikola Momchev (CoRR, 2021)

Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. - Theophile Cabannes; Mathieu Laurière; Julien Pérolat; Raphaël Marinier; Sertan Girgin; Sarah Perrin; Olivier Pietquin; Alexandre M. Bayen; Eric Goubault; Romuald Elie (AAMAS, 2022)

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. - Paul Muller; Mark Rowland 001; Romuald Elie; Georgios Piliouras; Julien Pérolat; Mathieu Laurière; Raphaël Marinier; Olivier Pietquin; Karl Tuyls (AAMAS, 2022)

AudioLM: a Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (CoRR, 2022)

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. - Eugene Kharitonov; Damien Vincent; Zalán Borsos; Raphaël Marinier; Sertan Girgin; Olivier Pietquin; Matt Sharifi; Marco Tagliasacchi; Neil Zeghidour (Trans. Assoc. Comput. Linguistics, 2023)

AudioLM: A Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (IEEE ACM Trans. Audio Speech Lang. Process., 2023)