Cooley, M., Kirby, R. M., Zhe, S., & Shankar, V. (2024). HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability.
Chicago Style (17th ed.) CitationCooley, Madison, Robert M. Kirby, Shandian Zhe, and Varun Shankar. HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability. 2024.
MLA (9th ed.) CitationCooley, Madison, et al. HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability. 2024.
Warning: These citations may not always be 100% accurate.