Noukhovitch, Michael

9 publications

ICLR 2025 Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron Courville

NeurIPS 2025 Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models Samuel Lavoie, Michael Noukhovitch, Aaron Courville

NeurIPSW 2024 Faster, More Efficient RLHF Through Off-Policy Asynchronous Learning Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron Courville

ICMLW 2024 In-Context Learning, Can It Break Safety? Sophie Xhonneux, David Dobre, Michael Noukhovitch, Jian Tang, Gauthier Gidel, Dhanya Sridhar

ICLR 2024 Learning Multi-Agent Communication with Contrastive Learning Yat Long Lo, Biswa Sengupta, Jakob Nicolaus Foerster, Michael Noukhovitch

NeurIPS 2023 Language Model Alignment with Elastic Reset Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville

ICLR 2023 Simplicial Embeddings in Self-Supervised Learning and Downstream Classification Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron Courville

NeurIPS 2021 Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman, Aaron C. Courville

ICLR 2019 Systematic Generalization: What Is Required and Can It Be Learned? Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron Courville