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Tony Lelièvre: How to compute transition times?
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CEMRACS 2021 - Mathematical and Computational Methods for High-Dimensional Problems
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- 1 Tony Lelièvre: How to compute transition times?
- 2 Claudia Schillings: Bayesian data assimilation and filtering - lecture 2
- 3 Johannes Schmidt-Hieber: Statistical theory for deep neural networks - lecture 2
- 4 Johannes Schmidt-Hieber: Statistical theory for deep neural networks - lecture 1
- 5 Olivier Lafitte: Coupling models instead of coupling codes: two toy examples
- 6 Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 2
- 7 Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 1
- 8 Albert Cohen: Theory of approximation of hight-dimensional functions - lecture 2
- 9 Massoumeh Dashti: Bayesian methods for inverse problems - lecture 2
