Tapas Tripura - RankMe

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From local interactions to global operators: Scalable Gaussian process operator for physical systems. J. Comput. Phys. Sawan Kumar, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2026	J	`jnl`	Neural combinatorial wavelet neural operator for catastrophic forgetting free in-context operator learning of multiple partial differential equations. Comput. Phys. Commun. Tapas Tripura, Souvik Chakraborty
2025	J	`jnl`	Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach. CoRR Rajnish Kumar, Tapas Tripura, Souvik Chakraborty, Sitikantha Roy
2025	J	`jnl`	Deep muscle electromyogram construction using a physics-integrated deep learning approach. Eng. Appl. Artif. Intell. Rajnish Kumar, Tapas Tripura, Souvik Chakraborty, Sitikantha Roy
2025	J	`jnl`	From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems. CoRR Sawan Kumar, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2025	J	`jnl`	Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator. Comput. Phys. Commun. Hartej Soin, Tapas Tripura, Souvik Chakraborty
2024	J	`jnl`	Discovering interpretable Lagrangian of dynamical systems from data. Comput. Phys. Commun. Tapas Tripura, Souvik Chakraborty
2024	J	`jnl`	Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. CoRR Jyoti Rani, Tapas Tripura, Hariprasad Kodamana, Souvik Chakraborty
2024	J	`jnl`	Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator. CoRR Hartej Soin, Tapas Tripura, Souvik Chakraborty
2023	J	`jnl`	A Bayesian Framework for learning governing Partial Differential Equation from Data. CoRR Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data. CoRR Tapas Tripura, Souvik Chakraborty
2023	J	`jnl`	A foundational neural operator that continuously learns without forgetting. CoRR Tapas Tripura, Souvik Chakraborty
2023	J	`jnl`	A wavelet neural operator based elastography for localization and quantification of tumors. Comput. Methods Programs Biomed. Tapas Tripura, Abhilash Awasthi, Sitikantha Roy, Souvik Chakraborty
2023	J	`jnl`	Discovering interpretable Lagrangian of dynamical systems from data. CoRR Tapas Tripura, Souvik Chakraborty
2023	J	`jnl`	Discovering stochastic partial differential equations from limited data using variational Bayes inference. CoRR Yogesh Chandrakant Mathpati, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	MAntRA: A framework for model agnostic reliability analysis. Reliab. Eng. Syst. Saf. Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	Physics informed WNO. CoRR Navaneeth N., Tapas Tripura, Souvik Chakraborty
2022	J	`jnl`	MAntRA: A framework for model agnostic reliability analysis. CoRR Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2022	J	`jnl`	Model-agnostic stochastic model predictive control. CoRR Tapas Tripura, Souvik Chakraborty
2022	J	`jnl`	Multi-fidelity wavelet neural operator with application to uncertainty quantification. CoRR Akshay Thakur, Tapas Tripura, Souvik Chakraborty
2022	J	`jnl`	Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems. CoRR Tapas Tripura, Aarya Sheetal Desai, Sondipon Adhikari, Souvik Chakraborty
2022	J	`jnl`	Wavelet neural operator: a neural operator for parametric partial differential equations. CoRR Tapas Tripura, Souvik Chakraborty
2021	J	`jnl`	A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems. CoRR Tapas Tripura, Mohammad Imran, Budhaditya Hazra, Souvik Chakraborty
2021	J	`jnl`	Generalized weakly corrected Milstein solutions to stochastic differential equations. CoRR Tapas Tripura, Budhaditya Hazra, Souvik Chakraborty