Singh, Siddharth

8 publications

ICLRW 2025 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein

NeurIPS 2025 Gemstones: A Model Suite for Multi-Faceted Scaling Laws Sean Michael McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein

NeurIPS 2025 Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Jonas Geiping, Sean Michael McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein

NeurIPS 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein

NeurIPS 2024 Loki: Low-Rank Keys for Efficient Sparse Attention Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele

ICLR 2022 Learning to mAP for Active Semantic Goal Navigation Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis

NeurIPSW 2021 Status-Quo Policy Gradient in Multi-Agent Reinforcement Learning Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy

CoRL 2019 RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn