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Ponkrshnan Thiagarajan
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Explanation and Use of Uncertainty Obtained by Bayesian Neural Network Classifiers for Breast Histopathology Images
P Thiagarajan, P Khairnar, S Ghosh
IEEE Transactions on Medical Imaging, 2021
40*2021
Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning
S Pathrudkar, P Thiagarajan, S Agarwal, AS Banerjee, S Ghosh
arXiv preprint arXiv:2308.13096, 2023
22023
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks
P Thiagarajan, S Ghosh
arXiv preprint arXiv:2209.11366, 2022
12022
Bayesian Calibration and Uncertainty Quantification of a Rate-dependent Cohesive Zone Model for Polymer Interfaces
P Thiagarajan, T Sain, S Ghosh
arXiv preprint arXiv:2311.07768, 2023
2023
NOVEL BAYESIAN NEURAL NETWORKS AND UNCERTAINTY QUANTIFICATION OF COMPUTATIONAL MECHANICS MODELS
P Thiagarajan
2023
An extended state space method for three-dimensional elasticity analysis of arbitrary graded sandwich plates
B Udayakumar, P Thiagarajan, KVN Gopal
Journal of Sandwich Structures & Materials 23 (4), 1311-1346, 2021
2021
Asymptotic expansion differential quadrature method for the analysis of laminated hemispherical shells
P Thiagarajan, KVN Gopal
Composite Structures 228, 111275, 2019
2019
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Articles 1–7