pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. - Anirudhan Badrinath; Frédéric Wang; Zachary A. Pardos (EDM, 2021)

pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. - Anirudhan Badrinath; Frédéric Wang; Zachary A. Pardos (CoRR, 2021)

Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. - Anirudhan Badrinath; Yannis Flet-Berliac; Allen Nie; Emma Brunskill (NeurIPS, 2023)

OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators. - Allen Nie; Yash Chandak; Christina J. Yuan; Anirudhan Badrinath; Yannis Flet-Berliac; Emma Brunskill (NeurIPS, 2024)

Student Mission Control: Integrating Space Data Exploration into Data and Computer Science Education. - Dan Garcia 001; Josh Hug; Anirudhan Badrinath; Michael Ball 001; Lauren Mock (SIGCSE (2), 2024)

Hybrid Preference Optimization: Augmenting Direct Preference Optimization with Auxiliary Objectives. - Anirudhan Badrinath; Prabhat Agarwal; Jiajing Xu (CoRR, 2024)

Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier. - Anirudhan Badrinath; Prabhat Agarwal; Jiajing Xu (Trans. Mach. Learn. Res., 2025)

PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems. - Anirudhan Badrinath; Prabhat Agarwal; Laksh Bhasin; Jaewon Yang; Jiajing Xu; Charles Rosenberg 001 (CoRR, 2025)

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning. - Anirudhan Badrinath; Alex Yang; Kousik Rajesh; Prabhat Agarwal; Jaewon Yang; Haoyu Chen; Jiajing Xu; Charles Rosenberg 001 (CoRR, 2025)