Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning. - Francois Belletti; Daniel Haziza; Gabriel Gomes; Alexandre M. Bayen (IEEE Trans. Intell. Transp. Syst., 2018)

Open source evolutionary structured optimization. - Jérémy Rapin; Pauline Bennet; Emmanuel Centeno; Daniel Haziza; Antoine Moreau; Olivier Teytaud (GECCO Companion, 2020)

Population Based Training for Data Augmentation and Regularization in Speech Recognition. - Daniel Haziza; Jérémy Rapin; Gabriel Synnaeve (CoRR, 2020)

Low Bandwidth Video-Chat Compression using Deep Generative Models. - Maxime Oquab; Pierre Stock; Oran Gafni; Daniel Haziza; Tao Xu; Peizhao Zhang; Onur Celebi; Yana Hasson; Patrick Labatut; Bobo Bose-Kolanu; Thibault Peyronel; Camille Couprie (CoRR, 2020)

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation. - Changhan Wang; Morgane Rivière; Ann Lee 001; Anne Wu; Chaitanya Talnikar; Daniel Haziza; Mary Williamson; Juan Miguel Pino; Emmanuel Dupoux (ACL/IJCNLP (1), 2021)

Low Bandwidth Video-Chat Compression Using Deep Generative Models. - Maxime Oquab; Pierre Stock; Daniel Haziza; Tao Xu; Peizhao Zhang; Onur Celebi; Yana Hasson; Patrick Labatut; Bobo Bose-Kolanu; Thibault Peyronel; Camille Couprie (CVPR Workshops, 2021)

Efficient conditioned face animation using frontally-viewed embedding. - Maxime Oquab; Daniel Haziza; Ludovic Schwartz; Tao Xu; Katayoun Zand; Rui Wang; Peirong Liu; Camille Couprie (CoRR, 2022)

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. - Jamie Tolan; Hung-I Yang; Ben Nosarzewski; Guillaume Couairon; Huy V. Vo; John Brandt; Justine Spore; Sayantan Majumdar; Daniel Haziza; Janaki Vamaraju; Théo Moutakanni; Piotr Bojanowski; et al. (CoRR, 2023)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Memory Layers at Scale. - Vincent-Pierre Berges; Barlas Oguz; Daniel Haziza; Wen-tau Yih; Luke Zettlemoyer; Gargi Ghosh (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 2024)

Accelerating Transformer Inference and Training with 2:4 Activation Sparsity. - Daniel Haziza; Timothy Chou; Dhruv Choudhary; Luca Wehrstedt; Francisco Massa; Jiecao Yu; Geonhwa Jeong; Supriya Rao; Patrick Labatut; Jesse Cai (CoRR, 2025)

Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions. - Bangsheng Tang; Carl Chengyan Fu; Fei Kou; Grigory Sizov; Haoci Zhang; Jason Park; Jiawen Liu; Jie You; Qirui Yang; Sachin Mehta; Shengyong Cai; Xiaodong Wang; et al. (CoRR, 2025)

DINOv3. - Oriane Siméoni; Huy V. Vo; Maximilian Seitzer; Federico Baldassarre; Maxime Oquab; Cijo Jose; Vasil Khalidov; Marc Szafraniec; Seung Eun Yi; Michaël Ramamonjisoa; Francisco Massa; Daniel Haziza; et al. (CoRR, 2025)