Shah, Vedant

9 publications

TMLR 2025 Low Compute Unlearning via Sparse Representations Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal

ICLRW 2025 Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo, Mircea Tudor Lică, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels

NeurIPSW 2024 AI-Assisted Generation of Difficult Math Questions Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Jiatong Yu, Yinghui He, Nan Rosemary Ke, Michael Curtis Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal

ICLRW 2024 Efficient Causal Graph Discovery Using Large Language Models Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio

NeurIPSW 2024 General Causal Imputation via Synthetic Interventions Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel

ICLRW 2024 Towards DNA-Encoded Library Generation with GFlowNets Michał Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer M. van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio

ICLR 2023 Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio

ICCVW 2021 Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions Without Re-Training Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh

NeurIPSW 2021 Forecasting Market Prices Using DL with Data Augmentation and Meta-Learning: ARIMA Still Wins! Vedant Shah, Gautam Shroff