Участник:Strijov/Drafts
Материал из MachineLearning.
(Различия между версиями)
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===Code=== | ===Code=== | ||
https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf | https://papers.nips.cc/paper/2018/file/69386f6bb1dfed68692a24c8686939b9-Paper.pdf | ||
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| + | ==Theme 1: ODE and flows== | ||
| + | *[https://papers.nips.cc/paper/2018/hash/69386f6bb1dfed68692a24c8686939b9-Abstract.html Neural Ordinary Differential Equations] (source paper and code) | ||
| + | *[https://en.wikipedia.org/wiki/Flow-based_generative_model W: Flow-based generative model] | ||
| + | *[https://deepgenerativemodels.github.io/notes/flow/ Flows at deepgenerativemodels.github.io] | ||
| + | *[https://habr.com/ru/company/ods/blog/442002/ Знакомство с Neural ODE на хабре] | ||
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| + | Goes to BME | ||
| + | *[https://arxiv.org/pdf/1505.05770.pdf Variational Inference with Normalizing Flows (source paper)] | ||
| + | *[https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html Flow-based deep generative models] | ||
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| + | ==Theme 1: PDE== | ||
Версия 16:17, 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
