hPIC: A scalable electrostatic Particle-in-Cell for Plasma-Material Interactions. - Rinat Khaziev; Davide Curreli (Comput. Phys. Commun., 2018)

Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems. - Rinat Khaziev; Bryce Casavant; Pearce Washabaugh; Amy A. Winecoff; Matthew Graham (CoRR, 2019)

FPI: Failure Point Isolation in Large-scale Conversational Assistants. - Rinat Khaziev; Usman Shahid; Tobias Röding; Rakesh Chada; Emir Kapanci; Pradeep Natarajan (NAACL-HLT (Industry Papers), 2022)

Self-Healing Through Error Detection, Attribution, and Retraining. - Ansel MacLaughlin; Anna Rumshisky; Rinat Khaziev; Anil Ramakrishna; Yuval Merhav; Rahul Gupta 001 (ICASSP, 2023)

Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. - Xiruo Liu; Furqan Khan; Yue Niu; Pradeep Natarajan; Rinat Khaziev; Salman Avestimehr; Prateek Singhal (ICVS, 2023)

Significant ASR Error Detection for Conversational Voice Assistants. - John Harvill; Rinat Khaziev; Scarlett Li; Randy Cogill; Lidan Wang; Gopinath Chennupati; Hari Thadakamalla (ICASSP, 2024)

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models. - Taha Entesari; Arman Hatami; Rinat Khaziev; Anil Ramakrishna; Mahyar Fazlyab (CoRR, 2025)