Taniya Kapoor

According to our database, Taniya Kapoor authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems.

Abhishek Chandra, Taniya Kapoor, Mitrofan Curti, Koen Tiels, Elena A. Lomonova

CoRR, May, 2025

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers.

Taniya Kapoor, Abhishek Chandra, Anastasios Stamou, Stephen J. Roberts

CoRR, May, 2025

Neural Differential Equation-Based Two-Stage Approach for Generalization of Beam Dynamics.

Taniya Kapoor, Hongrui Wang, Anastasios Stamou, Kareem El Sayed, Alfredo Núñez, Daniel M. Tartakovsky, Rolf P. B. J. Dollevoet

IEEE Trans. Ind. Informatics, March, 2025

Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks.

Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova

Comput. Phys. Commun., 2025

2024

Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems.

Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations.

Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet

Eng. Appl. Artif. Intell., 2024

Solving partial differential equations with sampled neural networks.

Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich

CoRR, 2024

Neural Oscillators for Generalization of Physics-Informed Machine Learning.

Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural oscillators for magnetic hysteresis modeling.

Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova

CoRR, 2023

Physics-informed machine learning for moving load problems.

Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet

CoRR, 2023

2022

Predicting traction return current in electric railway systems through physics-informed neural networks.

Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022