H. Zhang, L. Liu, & L. Lu. Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity. arXiv preprint arXiv:2410.13141, 2024.
W. Wu, M. Daneker, C. Herz, H. Dewey, J. A. Weiss, A. M. Pouch, L. Lu, & M. A. Jolley. ADEPT: A noninvasive method for determining elastic properties of valve tissue. arXiv preprint arXiv:2409.19081, 2024.
J. E. Lee, M. Zhu, Z. Xi, K. Wang, Y. O. Yuan, & L. Lu. Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration. arXiv preprint arXiv:2409.16572, 2024.
P. Xiao, M. Zheng, A. Jiao, X. Yang, & L. Lu. Quantum DeepONet: Neural operators accelerated by quantum computing. arXiv preprint arXiv:2409.15683, 2024.
Maxence Lamarque, Luke Bhan, Yuanyuan Shi, and Miroslav Krstic, "Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE", accepted to Automatica, 2025.
Sharath Matada, Luke Bhan, Yuanyuan Shi, and Nikolay Atanasov, "Generalizable Motion Planning via Operator Learning", International Conference on Learning Representations (ICLR) 2025