Gopeshh Subbaraj

11 papers A* 4Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. ICLR Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish
2025	A*	`conf`	Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. ICML Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio
2025	J	`jnl`	Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. CoRR Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio
2025	J	`jnl`	Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models. CoRR Istabrak Abbes, Gopeshh Subbaraj, Matthew Riemer, Nizar Islah, Benjamin Thérien, Tsuguchika Tabaru, Hiroaki Kingetsu, Sarath Chandar, Irina Rish
2025	A*	`conf`	Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. ICLR Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
2025	J	`jnl`	Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. CoRR Oleksiy Ostapenko, Charles Guille-Escuret, Luke Kumar, Max Tian, Denis Kocetkov, Gopeshh Subbaraj, Raymond Li, Joel Lamy-Poirier, Sébastien Paquet, Torsten Scholak
2024	J	`jnl`	Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. CoRR Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish
2024	J	`jnl`	GFlowNet Pretraining with Inexpensive Rewards. CoRR Mohit Pandey, Gopeshh Subbaraj, Emmanuel Bengio
2024	J	`jnl`	Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. CoRR Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
2022	A*	`conf`	Continual Learning In Environments With Polynomial Mixing Times. NeurIPS Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
2021	J	`jnl`	Continual Learning In Environments With Polynomial Mixing Times. CoRR Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish