Taniya Kapoor - RankMe

15 papers A* 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers. CoRR Taniya Kapoor, Abhishek Chandra, Anastasios Stamou, Stephen J. Roberts
2025	J	`jnl`	Domain decomposition architectures and Gauss-Newton training for physics-informed neural networks. CoRR Alexander Heinlein, Taniya Kapoor
2025	J	`jnl`	Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks. Comput. Phys. Commun. Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova
2025	J	`jnl`	Neural Differential Equation-Based Two-Stage Approach for Generalization of Beam Dynamics. IEEE Trans. Ind. Informatics Taniya Kapoor, Hongrui Wang, Anastasios Stamou, Kareem El Sayed, Alfredo Núñez, Daniel M. Tartakovsky, Rolf P. B. J. Dollevoet
2025	J	`jnl`	Neuro-Symbolic Operator for Interpretable and Generalizable Characterization of Complex Piezoelectric Systems. CoRR Abhishek Chandra, Taniya Kapoor, Mitrofan Curti, Koen Tiels, Elena A. Lomonova
2024	A*	`conf`	Neural Oscillators for Generalization of Physics-Informed Machine Learning. AAAI Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2024	J	`jnl`	Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems. IEEE Trans. Neural Networks Learn. Syst. Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2024	J	`jnl`	Solving partial differential equations with sampled neural networks. CoRR Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
2024	J	`jnl`	Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. Eng. Appl. Artif. Intell. Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2023	J	`jnl`	Neural oscillators for generalization of physics-informed machine learning. CoRR Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2023	J	`jnl`	Neural oscillators for magnetic hysteresis modeling. CoRR Abhishek Chandra, Taniya Kapoor, Bram Daniels, Mitrofan Curti, Koen Tiels, Daniel M. Tartakovsky, Elena A. Lomonova
2023	J	`jnl`	Physics-informed machine learning for moving load problems. CoRR Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2023	J	`jnl`	Physics-informed neural networks for solving forward and inverse problems in complex beam systems. CoRR Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2023	J	`jnl`	Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. CoRR Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet
2022	—	`conf`	Predicting traction return current in electric railway systems through physics-informed neural networks. SSCI Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet