Tapas Tripura

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Differential Equations

Multivariate Time Series

Fault Detection And Isolation

Dynamical Systems

Top Venues

Comput. Phys. Commun.

Comput. Methods Programs Biomed.

Reliab. Eng. Syst. Saf.

Publications

Hartej Soin, Tapas Tripura, Souvik Chakraborty
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator. CoRR (2024)
Tapas Tripura, Souvik Chakraborty
Discovering interpretable Lagrangian of dynamical systems from data. Comput. Phys. Commun. 294 (2024)
Jyoti Rani, Tapas Tripura, Hariprasad Kodamana, Souvik Chakraborty
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. CoRR (2024)
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 (2023)
Navaneeth N., Tapas Tripura, Souvik Chakraborty
Physics informed WNO. CoRR (2023)
Tapas Tripura, Souvik Chakraborty
A foundational neural operator that continuously learns without forgetting. CoRR (2023)
Yogesh Chandrakant Mathpati, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
Discovering stochastic partial differential equations from limited data using variational Bayes inference. CoRR (2023)
Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
A Bayesian Framework for learning governing Partial Differential Equation from Data. CoRR (2023)
Tapas Tripura, Souvik Chakraborty
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data. CoRR (2023)
Tapas Tripura, Abhilash Awasthi, Sitikantha Roy, Souvik Chakraborty
A wavelet neural operator based elastography for localization and quantification of tumors. Comput. Methods Programs Biomed. 232 (2023)
Tapas Tripura, Souvik Chakraborty
Discovering interpretable Lagrangian of dynamical systems from data. CoRR (2023)
Tapas Tripura, Aarya Sheetal Desai, Sondipon Adhikari, Souvik Chakraborty
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems. CoRR (2022)
Akshay Thakur, Tapas Tripura, Souvik Chakraborty
Multi-fidelity wavelet neural operator with application to uncertainty quantification. CoRR (2022)
Tapas Tripura, Souvik Chakraborty
Model-agnostic stochastic model predictive control. CoRR (2022)
Tapas Tripura, Souvik Chakraborty
Wavelet neural operator: a neural operator for parametric partial differential equations. CoRR (2022)
Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
MAntRA: A framework for model agnostic reliability analysis. CoRR (2022)
Tapas Tripura, Mohammad Imran, Budhaditya Hazra, Souvik Chakraborty
A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems. CoRR (2021)
Tapas Tripura, Budhaditya Hazra, Souvik Chakraborty
Generalized weakly corrected Milstein solutions to stochastic differential equations. CoRR (2021)