Da Long

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Inverse Problems

Gaussian Process

Top Venues

Publications

Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo
Deep peak property learning for efficient chiral molecules ECD spectra prediction. CoRR (2024)
Da Long, Shandian Zhe
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems. CoRR (2024)
Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. AISTATS (2024)
Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. ICLR (2024)
Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. CoRR (2023)
Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert M. Kirby, Shandian Zhe
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. CoRR (2023)
Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
AutoIP: A United Framework to Integrate Physics into Gaussian Processes. CoRR (2022)
Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini
A Kernel Approach for PDE Discovery and Operator Learning. CoRR (2022)
Da Long, Zheng Wang, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney
AutoIP: A United Framework to Integrate Physics into Gaussian Processes. ICML (2022)