Участник:Strijov/Drafts
Материал из MachineLearning.
(Различия между версиями)
(→Theme 1: PDE) |
(→Fundamental theorems) |
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| Строка 58: | Строка 58: | ||
=Fundamental theorems= | =Fundamental theorems= | ||
| - | [https://en.wikipedia.org/wiki/Inverse_function_theorem W: Inverse function theorem and Jacobian | + | [https://en.wikipedia.org/wiki/Inverse_function_theorem W: Inverse function theorem and Jacobian] |
Версия 17:28, 1 августа 2021
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- Geometric deep learning
- Functional data analysis
- Applied mathematics for machine learning
Syllabus and goals
Theme 1:
Message
Basics
Application
Code
https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf
Theme 1: ODE and flows
- Neural Ordinary Differential Equations (source paper and code)
- W: Flow-based generative model
- Flows at deepgenerativemodels.github.io
- Знакомство с Neural ODE на хабре
Goes to BME
Theme 1: PDE
(after RBF)
Theme 1: High order splines
Theme 1: Topological data analysis
Theme 1: Homology versus homotopy
