Few-shot learning through contextual data augmentation. - Farid Arthaud; Rachel Bawden; Alexandra Birch (EACL, 2021)

Transformers à Grande Vitesse. - Farid Arthaud; Guillaume Lecoeur; Alban Pierre (CoRR, 2021)

Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems. - Charles Jin; Zhang-Wei Hong; Farid Arthaud; Idan Orzech; Martin C. Rinard (CoRR, 2023)

Depth-bounded Epistemic Logic. - Farid Arthaud; Martin C. Rinard (TARK, 2023)

Playing Repeated Games with Sublinear Randomness. - Farid Arthaud (SAGT, 2024)

Edge-Dominance Games on Graphs. - Farid Arthaud; Edan Orzech; Martin C. Rinard (SAGT, 2024)

Transformers à Grande Vitesse: Massively parallel real-time predictions of train delay propagation. - Farid Arthaud; Guillaume Lecoeur; Alban Pierre (J. Rail Transp. Plan. Manag., 2024)