Tapas Tripura

According to our database, Tapas Tripura authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Discovering interpretable Lagrangian of dynamical systems from data.

Tapas Tripura, Souvik Chakraborty

Comput. Phys. Commun., January, 2024

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data.

Jyoti Rani, Tapas Tripura, Hariprasad Kodamana, 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 wavelet neural operator based elastography for localization and quantification of tumors.

Tapas Tripura, Abhilash Awasthi, Sitikantha Roy, Souvik Chakraborty

Comput. Methods Programs Biomed., April, 2023

A foundational neural operator that continuously learns without forgetting.

Tapas Tripura, Souvik Chakraborty

CoRR, 2023

A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data.

Tapas Tripura, Souvik Chakraborty

CoRR, 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

Physics informed WNO.

Navaneeth N., Tapas Tripura, Souvik Chakraborty

CoRR, 2023

2022

Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems.

Tapas Tripura, Aarya Sheetal Desai, Sondipon Adhikari, Souvik Chakraborty

CoRR, 2022

Model-agnostic stochastic model predictive control.

Tapas Tripura, Souvik Chakraborty

CoRR, 2022

Multi-fidelity wavelet neural operator with application to uncertainty quantification.

Akshay Thakur, Tapas Tripura, Souvik Chakraborty

CoRR, 2022

Wavelet neural operator: a neural operator for parametric partial differential equations.

Tapas Tripura, Souvik Chakraborty

CoRR, 2022

2021

Generalized weakly corrected Milstein solutions to stochastic differential equations.

Tapas Tripura, Budhaditya Hazra, Souvik Chakraborty

CoRR, 2021

A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems.

Tapas Tripura, Mohammad Imran, Budhaditya Hazra, Souvik Chakraborty

CoRR, 2021