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Susanta Ghosh
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2020 – today
- 2025
- [j3]Ponkrshnan Thiagarajan, Susanta Ghosh:
Jensen-Shannon divergence based novel loss functions for Bayesian neural networks. Neurocomputing 618: 129115 (2025) - 2024
- [i5]Revanth Mattey, Susanta Ghosh:
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks. CoRR abs/2405.06119 (2024) - 2023
- [i4]Ponkrshnan Thiagarajan, Trisha Sain, Susanta Ghosh:
Bayesian Calibration and Uncertainty Quantification of a Rate-dependent Cohesive Zone Model for Polymer Interfaces. CoRR abs/2311.07768 (2023) - 2022
- [j2]Ponkrshnan Thiagarajan, Pushkar Khairnar, Susanta Ghosh:
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images. IEEE Trans. Medical Imaging 41(4): 815-825 (2022) - [i3]Ponkrshnan Thiagarajan, Susanta Ghosh:
A Jensen-Shannon Divergence Based Loss Function for Bayesian Neural Networks. CoRR abs/2209.11366 (2022) - 2021
- [i2]Revanth Mattey, Susanta Ghosh:
A Physics Informed Neural Network for Time-Dependent Nonlinear and Higher Order Partial Differential Equations. CoRR abs/2106.07606 (2021) - 2020
- [i1]Pushkar Khairnar, Ponkrshnan Thiagarajan, Susanta Ghosh:
A modified Bayesian Convolutional Neural Network for Breast Histopathology Image Classification and Uncertainty Quantification. CoRR abs/2010.12575 (2020)
2010 – 2019
- 2010
- [j1]Susanta Ghosh, Debasish Roy:
An accurate numerical integration scheme for finite rotations using rotation vector parametrization. J. Frankl. Inst. 347(8): 1550-1565 (2010)
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