Commonsense mining as knowledge base completion? A study on the impact of novelty. - Stanislaw Jastrzebski; Dzmitry Bahdanau; Seyedarian Hosseini; Michael Noukhovitch; Yoshua Bengio; Jackie Chi Kit Cheung (CoRR, 2018)

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

Emergent Communication under Competition. - Michael Noukhovitch; Travis LaCroix; Angeliki Lazaridou; Aaron C. Courville (AAMAS, 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 (NeurIPS, 2021)

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

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

Learning to Communicate using Contrastive Learning. - Yat Long Lo; Biswa Sengupta; Jakob N. Foerster; Michael Noukhovitch (CoRR, 2023)

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

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. - Shengyi Huang; Michael Noukhovitch; Arian Hosseini; Kashif Rasul; Weixun Wang; Lewis Tunstall (CoRR, 2024)

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

Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models. - Samuel Lavoie; Michael Noukhovitch; Aaron C. Courville (CoRR, 2025)