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Best of Both Worlds: Bridging Laplace and Fourier for Generalizable and Efficient Operator Learning
Best of Both Worlds: Bridging Laplace and Fourier for Generalizable and Efficient Operator Learning
- 제목
- Best of Both Worlds: Bridging Laplace and Fourier for Generalizable and Efficient Operator Learning
- 제목 (타언어)
- Best of Both Worlds: Bridging Laplace and Fourier for Generalizable and Efficient Operator Learning
- 저자
- Donghun Lee
- 발행일
- 2025-12-06
- 학회명
- NeurIPS 2025 Workshop - ML4PS: Machine Learning and the Physical Sciences
- 개최국가
- 미국
- 학회 개최일
- 2025-12-02 ~ 2025-12-07