2 papers
stat.ML2026
Variational objectives for amortized Bayesian inference in inverse problems: The role of posterior conditioning
Abhishek Srivastava, Arijit Hazra, Rajesh Dubbaku
Variational autoencoders (VAEs) offer an efficient approach to amortized Bayesian inference for inverse problems, but posterior accuracy can depend strongly on the choice of variat…
physics.flu-dyn2025
Physics-Informed Neural Networks for Estimating Convective Heat Transfer in Jet Impingement Cooling: A Comparison with Conjugate Heat Transfer Simulations
Arijit Hazra, Prahar Sarkar, Sourav Sarkar
Efficient cooling is vital for the performance and reliability of modern systems such as electronics, nuclear reactors, and industrial equipment. Jet impingement cooling is widely…