Видео ютуба по тегу Operator Learning

Глубокие операторские сети (DeepONet) [Машинное обучение с учетом физики]
Глубокие операторские сети (DeepONet) [Машинное обучение с учетом физики]
Operator Learning: Algorithms, Analysis and Applications
Operator Learning: Algorithms, Analysis and Applications
Pau Batlle: Kernel Methods Are Competitive for Operator Learning
Pau Batlle: Kernel Methods Are Competitive for Operator Learning
ETH Zürich AISE: Introduction to Operator Learning Part 2
ETH Zürich AISE: Introduction to Operator Learning Part 2
An overview of operator learning
An overview of operator learning
ETH Zürich AISE: Introduction to Operator Learning Part 1
ETH Zürich AISE: Introduction to Operator Learning Part 1
Operator Learning: From Theory to Practice
Operator Learning: From Theory to Practice
Operator Learning: Introduction to Neural Operator
Operator Learning: Introduction to Neural Operator
Shape-informed Operator Learning || Separable PINNs|| Nov 7, 2025
Shape-informed Operator Learning || Separable PINNs|| Nov 7, 2025
Zongyi Li: Tutorial on Neural Operators (Tutorial 3)
Zongyi Li: Tutorial on Neural Operators (Tutorial 3)
Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
Operator Learning: From Theory to Practice
Operator Learning: From Theory to Practice
Deep Learning: Known Operator Learning - Part 1
Deep Learning: Known Operator Learning - Part 1
Operator Learning Without the Adjoint
Operator Learning Without the Adjoint
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification
Namkyeong Cho (Gachon University) - Sobolev Training for Operator Learning
Namkyeong Cho (Gachon University) - Sobolev Training for Operator Learning
ETH Zürich DLSC: Introduction to Operator Learning Part 1
ETH Zürich DLSC: Introduction to Operator Learning Part 1
Bilevel Local Operator Learning for PDE Inverse Problems | John Lowengrub (UC Irvine) | 2025 CSRC
Bilevel Local Operator Learning for PDE Inverse Problems | John Lowengrub (UC Irvine) | 2025 CSRC
GIDRM 2020 Keynote - Known Operator Learning - An approach to unite Machine Learning and Physics
GIDRM 2020 Keynote - Known Operator Learning - An approach to unite Machine Learning and Physics
DOE CSGF 2024: Operator Learning for PDEs: Function Space Theory Meets Machine Learning
DOE CSGF 2024: Operator Learning for PDEs: Function Space Theory Meets Machine Learning