An Excluded Minor Characterization of Seymour Graphs. - Alexander A. Ageev; Yohann Benchetrit; András Sebö; Zoltán Szigeti (IPCO, 2011)

Ear-decompositions and the complexity of the matching polytope. - Yohann Benchetrit; András Sebö (CoRR, 2015)

Propriétés géométriques du nombre chromatique : polyèdres, structures et algorithmes. (Geometric properties of the chromatic number : polyhedra, structure and algorithms). - Yohann Benchetrit (2015)

On 4-critical t-perfect graphs. - Yohann Benchetrit (CoRR, 2016)

Characterizing Polytopes Contained in the $0/1$-Cube with Bounded Chvátal-Gomory Rank. - Yohann Benchetrit; Samuel Fiorini; Tony Huynh; Stefan Weltge (CoRR, 2016)

Integer round-up property for the chromatic number of some h-perfect graphs. - Yohann Benchetrit (Math. Program., 2017)

Characterizing Polytopes in the 0/1-Cube with Bounded Chvátal-Gomory Rank. - Yohann Benchetrit; Samuel Fiorini; Tony Huynh; Stefan Weltge (Math. Oper. Res., 2018)

Aligning brain functions boosts the decoding of visual semantics in novel subjects. - Alexis Thual; Yohann Benchetrit; Felix Geilert; Jérémy Rapin; Iurii Makarov; Hubert J. Banville; Jean-Rémi King (CoRR, 2023)

Brain decoding: toward real-time reconstruction of visual perception. - Yohann Benchetrit; Hubert J. Banville; Jean-Remi King (ICLR, 2024)

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada Ifriqi; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (NeurIPS, 2024)

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

Decoding individual words from non-invasive brain recordings across 723 participants. - Stéphane d'Ascoli; Corentin Bel; Jérémy Rapin; Hubert J. Banville; Yohann Benchetrit; Christophe Pallier; Jean-Rémi King (CoRR, 2024)

Boosting Latent Diffusion with Perceptual Objectives. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Marton Havasi; Yohann Benchetrit; Adriana Romero-Soriano; Karteek Alahari; Michal Drozdzal; Jakob Verbeek (ICLR, 2025)

Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment. - Alexis Thual; Yohann Benchetrit; Felix Geilert; Jérémy Rapin; Iurii Makarov; Stanislas Dehaene; Bertrand Thirion; Hubert J. Banville; Jean-Remi King (Trans. Mach. Learn. Res., 2025)

Scaling laws for decoding images from brain activity. - Hubert J. Banville; Yohann Benchetrit; Stéphane d'Ascoli; Jérémy Rapin; Jean-Rémi King (CoRR, 2025)

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI. - Marlène Careil; Yohann Benchetrit; Jean-Rémi King (CoRR, 2025)

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction. - Stéphane d'Ascoli; Jérémy Rapin; Yohann Benchetrit; Hubert J. Banville; Jean-Rémi King (CoRR, 2025)