Geometric Consistency for Self-Supervised End-to-End Visual Odometry. - Ganesh Iyer; J. Krishna Murthy 001; Gunshi Gupta; K. Madhava Krishna; Liam Paull (CVPR Workshops, 2018)

Towards View-Invariant Intersection Recognition from Videos using Deep Network Ensembles. - Abhijeet Kumar; Gunshi Gupta; Avinash Sharma 001; K. Madhava Krishna (IROS, 2018)

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. - Sanjay Thakur; Herke van Hoof; Gunshi Gupta; David Meger (CoRR, 2019)

Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (NeurIPS, 2020)

La-MAML: Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (CoRR, 2020)

Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? - Gunshi Gupta; Tim G. J. Rudner; Rowan Thomas McAllister; Adrien Gaidon; Yarin Gal (CLeaR, 2023)

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. - Andrew Jesson; Chris Lu 001; Gunshi Gupta; Angelos Filos; Jakob Nicolaus Foerster; Yarin Gal (CoRR, 2023)

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. - Andrew Jesson; Chris Lu 001; Gunshi Gupta; Nicolas Beltran-Velez; Angelos Filos; Jakob Nicolaus Foerster; Yarin Gal (ICML, 2024)

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. - Gunshi Gupta; Karmesh Yadav; Yarin Gal; Dhruv Batra; Zsolt Kira; Cong Lu; Tim G. J. Rudner (NeurIPS, 2024)

World and Human Action Models towards gameplay ideation. - Anssi Kanervisto; David Bignell; Linda Yilin Wen; Martin Grayson; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Tabish Rashid; Tim Pearce; Yuhan Cao 001; Abdelhak Lemkhenter; Chentian Jiang; et al. (Nat., 2025)

FindingDory: A Benchmark to Evaluate Memory in Embodied Agents. - Karmesh Yadav; Yusuf Ali; Gunshi Gupta; Yarin Gal; Zsolt Kira (CoRR, 2025)