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Rajdip Nayek
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2020 – today
- 2024
- [i8]Sawan Kumar, Rajdip Nayek, Souvik Chakraborty:
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations. CoRR abs/2404.15618 (2024) - [i7]Soban Nasir Lone, Subhayan De, Rajdip Nayek:
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification. CoRR abs/2408.00681 (2024) - [i6]Sawan Kumar, Rajdip Nayek, Souvik Chakraborty:
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics. CoRR abs/2409.10972 (2024) - 2023
- [j2]Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty:
MAntRA: A framework for model agnostic reliability analysis. Reliab. Eng. Syst. Saf. 235: 109233 (2023) - [j1]Mohammad Zeeshan, Mudra Chavda, Khan Mohammad Ehshan, Rajdip Nayek, Shahid Malik:
A Review on Non-RF Underground Positioning Techniques for Mining Applications. IEEE Trans. Instrum. Meas. 72: 1-17 (2023) - [i5]Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty:
A Bayesian Framework for learning governing Partial Differential Equation from Data. CoRR abs/2306.04894 (2023) - [i4]Yogesh Chandrakant Mathpati, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty:
Discovering stochastic partial differential equations from limited data using variational Bayes inference. CoRR abs/2306.15873 (2023) - 2022
- [i3]Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty:
MAntRA: A framework for model agnostic reliability analysis. CoRR abs/2212.06303 (2022) - 2020
- [i2]Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross:
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. CoRR abs/2012.01937 (2020)
2010 – 2019
- 2019
- [i1]Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan:
A Gaussian process latent force model for joint input-state estimation in linear structural systems. CoRR abs/1904.00093 (2019)
Coauthor Index
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