Sinha, Koustuv

10 publications

TMLR 2025 A Shortcut-Aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran

ICCV 2025 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

ICCV 2025 MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Shengbang Tong, David Fan, Jiachen Li, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu

ICCV 2025 Scaling Language-Free Visual Representation Learning David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie

ICLR 2025 VEDIT: Latent Prediction Architecture for Procedural Video Representation Learning Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha

NeurIPSW 2024 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

ICLRW 2024 The ART of LLM Refinement: Ask, Refine, Trust Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason E Weston, Asli Celikyilmaz

JMLR 2021 Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Lariviere, Alina Beygelzimer, Florence d'Alche-Buc, Emily Fox, Hugo Larochelle

ICMLW 2020 Evaluating Logical Generalization in Graph Neural Networks Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton

NeurIPS 2020 Measuring Systematic Generalization in Neural Proof Generation with Transformers Nicolas Gontier, Koustuv Sinha, Siva Reddy, Chris Pal