Vedant Shah - RankMe

20 papers A* 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comedy of Estimators: On KL Regularization in RL Training of LLMs. CoRR Vedant Shah, Johan S. Obando-Ceron, Vineet Jain, Brian R. Bartoldson, Bhavya Kailkhura, Sarthak Mittal, Glen Berseth, Pablo Samuel Castro, Yoshua Bengio, Nikolay Malkin, Moksh Jain, Siddarth Venkatraman, Aaron C. Courville
2025	J	`jnl`	Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs. CoRR Tingting Chen, Srinivas Anumasa, Beibei Lin, Vedant Shah, Anirudh Goyal, Dianbo Liu
2025	J	`jnl`	Low Compute Unlearning via Sparse Representations. Trans. Mach. Learn. Res. Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal
2025	J	`jnl`	Part CoRR Tianjiao Yu, Vedant Shah, Muntasir Wahed, Ying Shen, Kiet A. Nguyen, Ismini Lourentzou
2025	J	`jnl`	Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models. CoRR Siddarth Venkatraman, Vineet Jain, Sarthak Mittal, Vedant Shah, Johan S. Obando-Ceron, Yoshua Bengio, Brian R. Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	Uncertainty in Action: Confidence Elicitation in Embodied Agents. CoRR Tianjiao Yu, Vedant Shah, Muntasir Wahed, Kiet A. Nguyen, Adheesh Sunil Juvekar, Tal August, Ismini Lourentzou
2024	J	`jnl`	AI-Assisted Generation of Difficult Math Questions. CoRR Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal
2024	J	`jnl`	Efficient Causal Graph Discovery Using Large Language Models. CoRR Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
2024	J	`jnl`	General Causal Imputation via Synthetic Interventions. CoRR Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel
2024	J	`jnl`	Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels
2024	J	`jnl`	PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation. CoRR Muntasir Wahed, Kiet A. Nguyen, Adheesh Sunil Juvekar, Xinzhuo Li, Xiaona Zhou, Vedant Shah, Tianjiao Yu, Pinar Yanardag, Ismini Lourentzou
2024	J	`jnl`	Towards DNA-Encoded Library Generation with GFlowNets. CoRR Michal Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio
2023	A*	`conf`	Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio
2023	J	`jnl`	Unlearning via Sparse Representations. CoRR Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal
2022	J	`jnl`	Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2022	J	`jnl`	Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar
2022	J	`jnl`	Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
2022	—	`conf`	[Data] Quality Lies In The Eyes Of The Beholder. PETRA Xavier Pleimling, Vedant Shah, Ismini Lourentzou
2021	—	`conf`	Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. ICCVW Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh
2021	J	`jnl`	Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! CoRR Vedant Shah, Gautam Shroff