NII Hitachi UIT at TRECVID 2019. - Martin Klinkigt; Duy-Dinh Le; Atsushi Hiroike; Hung-Quoc Vo; Mohit Chabra; Vu-Minh-Hieu Dang; Quan Kong; Vinh-Tiep Nguyen; Tomokazu Murakami; Tien-Van Do 002; Tomoaki Yoshinaga; Duy-Nhat Nguyen; et al. (TRECVID, 2019)

Stochastic Approximation Algorithms for Principal Component Analysis. - Jian Vora (CoRR, 2019)

Compressive Signal Recovery Under Sensing Matrix Errors Combined With Unknown Measurement Gains. - Jian Vora; Ajit Rajwade 001 (ICASSP, 2021)

Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections. - Jian Vora; Karthik S. Gurumoorthy; Ajit Rajwade 001 (SSP, 2021)

PAC Mode Estimation using PPR Martingale Confidence Sequences. - Shubham Anand Jain; Rohan Shah; Sanit Gupta; Denil Mehta; Inderjeet J. Nair; Jian Vora; Sushil Khyalia; Sourav Das 001; Vinay J. Ribeiro; Shivaram Kalyanakrishnan (AISTATS, 2022)

Scoring Black-Box Models for Adversarial Robustness. - Jian Vora; Pranay Reddy Samala (CoRR, 2022)

Benchmarking Large Language Models As AI Research Agents. - Qian Huang; Jian Vora; Percy Liang; Jure Leskovec (CoRR, 2023)

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. - Qian Huang; Jian Vora; Percy Liang; Jure Leskovec (ICML, 2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. - Yusuf H. Roohani; Jian Vora; Qian Huang; Zachary Steinhart; Alexander Marson; Percy Liang; Jure Leskovec (CoRR, 2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. - Yusuf H. Roohani; Andrew H. Lee; Qian Huang; Jian Vora; Zachary Steinhart; Kexin Huang; Alexander Marson; Percy Liang; Jure Leskovec (ICLR, 2025)