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ORCIDRushil Gupta
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2020 – today
- 2025
[c2]Kyle Roth
, Rushil Gupta, Simon Hallé, Bang Liu:
Analogy-Augmented Generation with Procedural Memory for Procedure Generation. PAKDD (5) 2025: 260-271- [i6]Rushil Gupta, Jason Hartford, Bang Liu:
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? CoRR abs/2509.21403 (2025) - [i5]Sarvesh Ravichandran Iyer, Himadri Mandal, Dhruman Gupta, Rushil Gupta, Agniv Bandhyopadhyay, Achal Bassamboo, Varun Gupta, Sandeep Juneja:
Fundamental limits for weighted empirical approximations of tilted distributions. CoRR abs/2512.23979 (2025) - 2024
- [i4]Sanket Gandhi, Atul, Samanyu Mahajan, Vishal Sharma, Rushil Gupta, Arnab Kumar Mondal, Parag Singla:
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers. CoRR abs/2407.03216 (2024) - [i3]K. Roth, Rushil Gupta, Simon Hallé, Bang Liu:
Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A. CoRR abs/2409.01344 (2024) - [i2]Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel:
Tight Lower Bounds and Improved Convergence in Performative Prediction. CoRR abs/2412.03671 (2024) - 2022
- [c1]Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni:
User-Guided Variable Rate Learned Image Compression. CVPR Workshops 2022: 1752-1757 - 2021
- [i1]Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla:
Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR abs/2107.07713 (2021)
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