Gunshi Gupta

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

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Top Venues

Publications

Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR (2024)
Andrew Jesson, Chris Lu, Gunshi Gupta, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. CoRR (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CoRR (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR (2023)
Gunshi Gupta, Karmesh Yadav, Liam Paull
La-MAML: Look-ahead Meta Learning for Continual Learning. CoRR (2020)
Gunshi Gupta, Karmesh Yadav, Liam Paull
Look-ahead Meta Learning for Continual Learning. NeurIPS (2020)
Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR (2019)
Abhijeet Kumar, Gunshi Gupta, Avinash Sharma, K. Madhava Krishna
Towards View-Invariant Intersection Recognition from Videos using Deep Network Ensembles. IROS (2018)
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops (2018)
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CoRR (2018)