Rajdip Nayek

According to our database, Rajdip Nayek authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics.

Sawan Kumar, Rajdip Nayek, Souvik Chakraborty

CoRR, 2024

Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification.

Soban Nasir Lone, Subhayan De, Rajdip Nayek

CoRR, 2024

Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations.

Sawan Kumar, Rajdip Nayek, Souvik Chakraborty

CoRR, 2024

2023

MAntRA: A framework for model agnostic reliability analysis.

Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty

Reliab. Eng. Syst. Saf., July, 2023

A Review on Non-RF Underground Positioning Techniques for Mining Applications.

Mohammad Zeeshan, Mudra Chavda, Khan Mohammad Ehshan, Rajdip Nayek, Shahid Malik

IEEE Trans. Instrum. Meas., 2023

Discovering stochastic partial differential equations from limited data using variational Bayes inference.

Yogesh Chandrakant Mathpati, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty

CoRR, 2023

A Bayesian Framework for learning governing Partial Differential Equation from Data.

Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty

CoRR, 2023

2020

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression.

Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross

CoRR, 2020

2019

A Gaussian process latent force model for joint input-state estimation in linear structural systems.

Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan

CoRR, 2019