Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment. - Anirudha Kemtur; Yash Raj Jain; Aashay Mehta; Frederick Callaway; Saksham Consul; Jugoslav Stojcheski; Falk Lieder (CogSci, 2020)

Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading. - Vikram Duvvur; Aashay Mehta; Edward Sun; Bo Wu; Ken Yew Chan; Jeff Schneider 001 (CoRR, 2023)

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines. - Yuchen Li; Alexandre Kirchmeyer; Aashay Mehta; Yilong Qin; Boris Dadachev; Kishore Papineni; Sanjiv Kumar; Andrej Risteski (ICML, 2024)

Intersectionality in Developing a Virtual Community of Practice Platform on Abortion. - Abdul-Fatawu Abdulai; Efrat Czerniak; Cam Duong; Aashay Mehta; Rachel Chiu; Eleni Stroulia; Wendy V. Norman (Nursing Informatics, 2024)

On the Query Complexity of Verifier-Assisted Language Generation. - Edoardo Botta; Yuchen Li; Aashay Mehta; Jordan T. Ash; Cyril Zhang; Andrej Risteski (CoRR, 2025)