A modified Bayesian Convolutional Neural Network for Breast Histopathology Image Classification and Uncertainty Quantification. - Pushkar Khairnar; Ponkrshnan Thiagarajan; Susanta Ghosh (CoRR, 2020)

A Jensen-Shannon Divergence Based Loss Function for Bayesian Neural Networks. - Ponkrshnan Thiagarajan; Susanta Ghosh (CoRR, 2022)

Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images. - Ponkrshnan Thiagarajan; Pushkar Khairnar; Susanta Ghosh (IEEE Trans. Medical Imaging, 2022)

Bayesian Calibration and Uncertainty Quantification of a Rate-dependent Cohesive Zone Model for Polymer Interfaces. - Ponkrshnan Thiagarajan; Trisha Sain; Susanta Ghosh (CoRR, 2023)

Jensen-Shannon divergence based novel loss functions for Bayesian neural networks. - Ponkrshnan Thiagarajan; Susanta Ghosh (Neurocomputing, 2025)

Surprisingly High Redundancy in Electronic Structure Data. - Sazzad Hossain; Ponkrshnan Thiagarajan; Shashank Pathrudkar; Stephanie Taylor; Abhijeet S. Gangan; Amartya S. Banerjee; Susanta Ghosh (CoRR, 2025)

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators. - Ponkrshnan Thiagarajan; Tamer A. Zaki; Michael D. Shields (CoRR, 2025)