Continual Learning In Environments With Polynomial Mixing Times. - Matthew Riemer; Sharath Chandra Raparthy; Ignacio Cases; Gopeshh Subbaraj; Maximilian Puelma Touzel; Irina Rish (NeurIPS, 2022)

GFlowNet Pretraining with Inexpensive Rewards. - Mohit Pandey; Gopeshh Subbaraj; Emmanuel Bengio (CoRR, 2024)

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. - Md Rifat Arefin; Gopeshh Subbaraj; Nicolas Gontier; Yann LeCun; Irina Rish; Ravid Shwartz-Ziv; Christopher Pal (ICLR, 2025)

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. - Matthew Riemer; Gopeshh Subbaraj; Glen Berseth; Irina Rish (ICLR, 2025)

Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. - Mohit Pandey; Gopeshh Subbaraj; Artem Cherkasov; Martin Ester; Emmanuel Bengio (CoRR, 2025)

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. - Oleksiy Ostapenko; Charles Guille-Escuret; Luke Kumar; Max Tian; Denis Kocetkov; Gopeshh Subbaraj; Raymond Li; Joel Lamy-Poirier; Sébastien Paquet; Torsten Scholak (CoRR, 2025)