Ponkrshnan Thiagarajan

According to our database, Ponkrshnan Thiagarajan authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators.

Ponkrshnan Thiagarajan, Tamer A. Zaki, Michael D. Shields

CoRR, July, 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, July, 2025

UQpy Version 4.2: Uncertainty quantification with Python.

Connor Krill, Ponkrshnan Thiagarajan, George D. Pasparakis, Somdatta Goswami, Dimitrios Tsapetis, Dimitris G. Giovanis, Michael D. Shields

SoftwareX, 2025

Jensen-Shannon divergence based novel loss functions for Bayesian neural networks.

Ponkrshnan Thiagarajan, Susanta Ghosh

Neurocomputing, 2025

2023

Bayesian Calibration and Uncertainty Quantification of a Rate-dependent Cohesive Zone Model for Polymer Interfaces.

Ponkrshnan Thiagarajan, Trisha Sain, Susanta Ghosh

CoRR, 2023

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

A Jensen-Shannon Divergence Based Loss Function for Bayesian Neural Networks.

Ponkrshnan Thiagarajan, Susanta Ghosh

CoRR, 2022

2020

A modified Bayesian Convolutional Neural Network for Breast Histopathology Image Classification and Uncertainty Quantification.

Pushkar Khairnar, Ponkrshnan Thiagarajan, Susanta Ghosh

CoRR, 2020