Spectral Clustering of graphs with the Bethe Hessian. - Alaa Saade; Florent Krzakala; Lenka Zdeborová (NIPS, 2014)

Computational Complexity, Phase Transitions, and Message-Passing for Community Detection. - Aurélien Decelle; Janina Hüttel; Alaa Saade; Cristopher Moore (CoRR, 2014)

Spectral density of the non-backtracking operator. - Alaa Saade; Florent Krzakala; Lenka Zdeborová (CoRR, 2014)

Spectral detection in the censored block model. - Alaa Saade; Marc Lelarge; Florent Krzakala; Lenka Zdeborová (ISIT, 2015)

Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation. - Alaa Saade; Florent Krzakala; Lenka Zdeborová (NIPS, 2015)

Random projections through multiple optical scattering: Approximating Kernels at the speed of light. - Alaa Saade; Francesco Caltagirone; Igor Carron; Laurent Daudet; Angélique Dremeau; Sylvain Gigan; Florent Krzakala (ICASSP, 2016)

Clustering from sparse pairwise measurements. - Alaa Saade; Marc Lelarge; Florent Krzakala; Lenka Zdeborová (ISIT, 2016)

Spectral Inference Methods on Sparse Graphs: Theory and Applications. - Alaa Saade (CoRR, 2016)

Fast Randomized Semi-Supervised Clustering. - Alaa Saade; Florent Krzakala; Marc Lelarge; Lenka Zdeborová (CoRR, 2016)

Deep Representation for Patient Visits from Electronic Health Records. - Jean-Baptiste Escudié; Alaa Saade; Alice Coucke; Marc Lelarge (CoRR, 2018)

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces. - Alice Coucke; Alaa Saade; Adrien Ball; Théodore Bluche; Alexandre Caulier; David Leroy; Clément Doumouro; Thibault Gisselbrecht; Francesco Caltagirone; Thibaut Lavril; Maël Primet; Joseph Dureau (CoRR, 2018)

Spoken Language Understanding on the Edge. - Alaa Saade; Joseph Dureau; David Leroy; Francesco Caltagirone; Alice Coucke; Adrien Ball; Clément Doumouro; Thibaut Lavril; Alexandre Caulier; Théodore Bluche; Thibault Gisselbrecht; Maël Primet (EMC2@NeurIPS, 2019)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Thomas Mesnard; Théophane Weber; Fabio Viola; Shantanu Thakoor; Alaa Saade; Anna Harutyunyan; Will Dabney; Tom Stepleton; Nicolas Heess; Arthur Guez; Marcus Hutter; Lars Buesing; et al. (CoRR, 2020)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Thomas Mesnard; Theophane Weber; Fabio Viola; Shantanu Thakoor; Alaa Saade; Anna Harutyunyan; Will Dabney; Thomas S. Stepleton; Nicolas Heess; Arthur Guez; Eric Moulines; Marcus Hutter; et al. (ICML, 2021)

Geometric Entropic Exploration. - Zhaohan Daniel Guo; Mohammad Gheshlaghi Azar; Alaa Saade; Shantanu Thakoor; Bilal Piot; Bernardo Ávila Pires; Michal Valko; Thomas Mesnard; Tor Lattimore; Rémi Munos (CoRR, 2021)

BYOL-Explore: Exploration by Bootstrapped Prediction. - Zhaohan Guo; Shantanu Thakoor; Miruna Pislar; Bernardo Ávila Pires; Florent Altché; Corentin Tallec; Alaa Saade; Daniele Calandriello; Jean-Bastien Grill; Yunhao Tang; Michal Valko; Rémi Munos; et al. (NeurIPS, 2022)

Quantile Credit Assignment. - Thomas Mesnard; Wenqi Chen; Alaa Saade; Yunhao Tang; Mark Rowland 001; Theophane Weber; Clare Lyle; Audrunas Gruslys; Michal Valko; Will Dabney; Georg Ostrovski; Eric Moulines; et al. (ICML, 2023)

Unlocking the Power of Representations in Long-term Novelty-based Exploration. - Alaa Saade; Steven Kapturowski; Daniele Calandriello; Charles Blundell; Pablo Sprechmann; Leopoldo Sarra; Oliver Groth; Michal Valko; Bilal Piot (ICLR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)