Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks. - He Bai 001; Kinjal Bhar; Jemin George; Carl E. Busart (CDC, 2021)

Asynchronous Bayesian Learning over a Network. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (CDC, 2022)

Asynchronous Local Computations in Distributed Bayesian Learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (CoRR, 2023)

Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (Autom., 2023)

Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (L4DC, 2025)