Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. - Samuel Scheidegger; Joachim Benjaminsson; Emil Rosenberg; Amrit Krishnan; Karl Granström (Intelligent Vehicles Symposium, 2018)

Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection. - Catherine R. Glossop; Jacopo Panerati; Amrit Krishnan; Zhaocong Yuan; Angela P. Schoellig (CoRR, 2022)

MLHOps: Machine Learning for Healthcare Operations. - Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz (CoRR, 2023)

FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets. - Fatemeh Tavakoli; David B. Emerson; John Jewell; Amrit Krishnan; Yuchong Zhang 002; Amol Verma; Fahad Razak (CoRR, 2023)

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. - Adibvafa Fallahpour; Mahshid Alinoori; Wenqian Ye; Xu Cao; Arash Afkanpour; Amrit Krishnan (ML4H@NeurIPS, 2024)

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets. - Fatemeh Tavakoli; David B. Emerson; Sana Ayromlou; John Taylor Jewell; Amrit Krishnan; Yuchong Zhang 002; Amol Verma; Fahad Razak (MLHC, 2024)

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. - Adibvafa Fallahpour; Mahshid Alinoori; Arash Afkanpour; Amrit Krishnan (CoRR, 2024)

MLHOps: Machine Learning Health Operations. - Faiza Khan Khattak; Vallijah Subasri; Amrit Krishnan; Chloé Pou-Prom; Sedef Akinli Koçak; Elham Dolatabadi; Deval Pandya; Laleh Seyyed-Kalantari; Frank Rudzicz (IEEE Access, 2025)