MAgNet: Mesh Agnostic Neural PDE Solver. - Oussama Boussif; Yoshua Bengio; Loubna Benabbou; Dan Assouline (NeurIPS, 2022)

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. - Dianbo Liu; Vedant Shah; Oussama Boussif; Cristian Meo; Anirudh Goyal; Tianmin Shu; Michael Mozer; Nicolas Heess; Yoshua Bengio (CoRR, 2022)

Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. - Dianbo Liu; Vedant Shah; Oussama Boussif; Cristian Meo; Anirudh Goyal; Tianmin Shu; Michael Curtis Mozer; Nicolas Heess; Yoshua Bengio (ICLR, 2023)

Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context. - Oussama Boussif; Ghait Boukachab; Dan Assouline; Stefano Massaroli; Tianle Yuan; Loubna Benabbou; Yoshua Bengio (NeurIPS, 2023)

What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? - Oussama Boussif; Ghait Boukachab; Dan Assouline; Stefano Massaroli; Tianle Yuan; Loubna Benabbou; Yoshua Bengio (CoRR, 2023)

Action abstractions for amortized sampling. - Oussama Boussif; Léna Néhale Ezzine; Joseph D. Viviano; Michal Koziarski; Moksh Jain; Nikolay Malkin; Emmanuel Bengio; Rim Assouel; Yoshua Bengio (ICLR, 2025)

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation. - Piotr Gainski; Oussama Boussif; Andrei Rekesh; Dmytro Shevchuk; Ali Parviz; Mike Tyers; Robert A. Batey; Michal Koziarski (CoRR, 2025)