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ORCIDVedant Shah
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Journal Articles
- 2025
[j1]Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal:
Low Compute Unlearning via Sparse Representations. Trans. Mach. Learn. Res. 2025 (2025)
Conference and Workshop Papers
- 2023
- [c3]Dianbo Liu, Vedant Shah, Oussama Boussif
, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio:
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR 2023 - 2022
- [c2]Xavier Pleimling, Vedant Shah, Ismini Lourentzou:
[Data] Quality Lies In The Eyes Of The Beholder. PETRA 2022: 118-124 - 2021
- [c1]Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh:
Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. ICCVW 2021: 2535-2541
Informal and Other Publications
- 2025
- [i15]Tingting Chen, Srinivas Anumasa, Beibei Lin, Vedant Shah, Anirudh Goyal, Dianbo Liu:
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs. CoRR abs/2502.15224 (2025) - [i14]Tianjiao Yu, Vedant Shah, Muntasir Wahed, Kiet A. Nguyen, Adheesh Juvekar, Tal August, Ismini Lourentzou:
Uncertainty in Action: Confidence Elicitation in Embodied Agents. CoRR abs/2503.10628 (2025) - [i13]Tianjiao Yu, Vedant Shah, Muntasir Wahed, Ying Shen, Kiet A. Nguyen, Ismini Lourentzou:
Part2GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting. CoRR abs/2506.17212 (2025) - [i12]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:
Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models. CoRR abs/2509.26626 (2025) - 2024
- [i11]Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio:
Efficient Causal Graph Discovery Using Large Language Models. CoRR abs/2402.01207 (2024) - [i10]Michal Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio:
Towards DNA-Encoded Library Generation with GFlowNets. CoRR abs/2404.10094 (2024) - [i9]Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal:
AI-Assisted Generation of Difficult Math Questions. CoRR abs/2407.21009 (2024) - [i8]Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels:
Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR abs/2410.07836 (2024) - [i7]Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel:
General Causal Imputation via Synthetic Interventions. CoRR abs/2410.20647 (2024) - [i6]Muntasir Wahed, Kiet A. Nguyen, Adheesh Sunil Juvekar, Xinzhuo Li, Xiaona Zhou, Vedant Shah, Tianjiao Yu, Pinar Yanardag, Ismini Lourentzou:
PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation. CoRR abs/2412.15209 (2024) - 2023
- [i5]Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal:
Unlearning via Sparse Representations. CoRR abs/2311.15268 (2023) - 2022
- [i4]Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio:
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR abs/2205.10607 (2022) - [i3]Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio:
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2210.03022 (2022) - [i2]Vedant Shah, Aditya Agrawal, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Tanmay T. Verlekar:
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. CoRR abs/2211.16047 (2022) - 2021
- [i1]Vedant Shah, Gautam Shroff:
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! CoRR abs/2110.10233 (2021)
Coauthor Index
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