Gunshi Gupta - RankMe

16 papers A* 3A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FindingDory: A Benchmark to Evaluate Memory in Embodied Agents. CoRR Karmesh Yadav, Yusuf Ali, Gunshi Gupta, Yarin Gal, Zsolt Kira
2025	J	`jnl`	Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning. CoRR Gunshi Gupta, Karmesh Yadav, Zsolt Kira, Yarin Gal, Rahaf Aljundi
2025	J	`jnl`	Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs. CoRR Vaggelis Dorovatas, Soroush Seifi, Gunshi Gupta, Rahaf Aljundi
2025	J	`jnl`	World and Human Action Models towards gameplay ideation. Nat. Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
2024	A*	`conf`	Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. NeurIPS Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024	J	`jnl`	Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
2024	A*	`conf`	ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. ICML Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal
2023	—	`conf`	Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
2023	J	`jnl`	Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CoRR Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
2023	J	`jnl`	ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. CoRR Andrew Jesson, Chris Lu, Gunshi Gupta, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal
2020	J	`jnl`	La-MAML: Look-ahead Meta Learning for Continual Learning. CoRR Gunshi Gupta, Karmesh Yadav, Liam Paull
2020	A*	`conf`	Look-ahead Meta Learning for Continual Learning. NeurIPS Gunshi Gupta, Karmesh Yadav, Liam Paull
2019	J	`jnl`	Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger
2018	—	`conf`	Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
2018	J	`jnl`	Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CoRR Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
2018	A	`conf`	Towards View-Invariant Intersection Recognition from Videos using Deep Network Ensembles. IROS Abhijeet Kumar, Gunshi Gupta, Avinash Sharma, K. Madhava Krishna