Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. - Vedant Shah; Anmol Agarwal; Tanmay Tulsidas Verlekar; Raghavendra Singh (ICCVW, 2021)

Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! - Vedant Shah; Gautam Shroff (CoRR, 2021)

[Data] Quality Lies In The Eyes Of The Beholder. - Xavier Pleimling; Vedant Shah; Ismini Lourentzou (PETRA, 2022)

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. - Dianbo Liu; Vedant Shah; Oussama Boussif; Cristian Meo; Anirudh Goyal; Tianmin Shu; Michael Mozer; Nicolas Heess; Yoshua Bengio (CoRR, 2022)

Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss. - Vedant Shah; Aditya Agrawal; Lovekesh Vig; Ashwin Srinivasan 001; Gautam Shroff; Tanmay T. Verlekar (CoRR, 2022)

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 (ICLR, 2023)

Unlearning via Sparse Representations. - Vedant Shah; Frederik Träuble; Ashish Malik; Hugo Larochelle; Michael Mozer; Sanjeev Arora; Yoshua Bengio; Anirudh Goyal (CoRR, 2023)

Efficient Causal Graph Discovery Using Large Language Models. - Thomas Jiralerspong; Xiaoyin Chen; Yash More; Vedant Shah; Yoshua Bengio (CoRR, 2024)

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

AI-Assisted Generation of Difficult Math Questions. - Vedant Shah; Dingli Yu; Kaifeng Lyu; Simon Park 002; Nan Rosemary Ke; Michael Mozer; Yoshua Bengio; Sanjeev Arora; Anirudh Goyal (CoRR, 2024)

Masked Generative Priors Improve World Models Sequence Modelling Capabilities. - Cristian Meo; Mircea Lica; Zarif Ikram; Akihiro Nakano; Vedant Shah; Aniket Rajiv Didolkar; Dianbo Liu; Anirudh Goyal; Justin Dauwels (CoRR, 2024)

General Causal Imputation via Synthetic Interventions. - Marco Jiralerspong; Thomas Jiralerspong; Vedant Shah; Dhanya Sridhar; Gauthier Gidel (CoRR, 2024)

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation. - Muntasir Wahed; Kiet A. Nguyen; Adheesh Sunil Juvekar; Xinzhuo Li; Xiaona Zhou; Vedant Shah; Tianjiao Yu; Pinar Yanardag; Ismini Lourentzou (CoRR, 2024)

Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs. - Tingting Chen; Srinivas Anumasa; Beibei Lin; Vedant Shah; Anirudh Goyal; Dianbo Liu (CoRR, 2025)

Uncertainty in Action: Confidence Elicitation in Embodied Agents. - Tianjiao Yu; Vedant Shah; Muntasir Wahed; Kiet A. Nguyen; Adheesh Juvekar; Tal August; Ismini Lourentzou (CoRR, 2025)

Part2GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting. - Tianjiao Yu; Vedant Shah; Muntasir Wahed; Ying Shen; Kiet A. Nguyen; Ismini Lourentzou (CoRR, 2025)