Da Long

According to our database, Da Long authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation.

Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian Zhe

CoRR, 2024

Toward Efficient Kernel-Based Solvers for Nonlinear PDEs.

Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi

CoRR, 2024

Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems.

Da Long, Shandian Zhe

CoRR, 2024

Deep peak property learning for efficient chiral molecules ECD spectra prediction.

Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo

CoRR, 2024

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes.

Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels.

Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

A Kernel Approach for PDE Discovery and Operator Learning.

Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini

CoRR, 2022

AutoIP: A United Framework to Integrate Physics into Gaussian Processes.

Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney

Proceedings of the International Conference on Machine Learning, 2022