notes
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index
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lectures
Links to this note
Bayesian data analysis by Andrew Gelman, Aki Vehtari, et al in 2014
A kinetic view of statistical physics by Pavel Krapivsky, Sidney Redner, and Eli Ben-Naim in 2010
Physics and geometry by Edward Witten in 1986
Experiential learning by David Kolb in 2015
An approximation to an efficient fundamental physics curriculum
A thorough introduction to the theory of general relativity by Frederic Schuller in 2015
Reza Negarestani
Easy and hard in the origin of life by Eric Smith in 2019
Biology of information lectures at College de France
Aki Vehtari
physics
probabilistic inference
variational inference
Active inference on discrete state-spaces - a synthesis by Lancelot Da Costa, Thomas Parr, Karl Friston et al in 2020
pyclone
pyro
principal bundle
mathematical models of evolution
intrinsic motivation
cancer evolution
biology
applications of stochastic processes
Variational inference by Chieh Wu in 2015
The speed of evolution in large asexual populations by Krug et al in 2010
Statistical physics of biological evolution by Krug in 2014
PyClone Statistical inference of clonal population structure in cancer by Roth and Shah in 2014
Pattern recognition and machine learning by Chris Bishop in 2006
Out of Nature: How a Concept Became a Political Power? by Didier Debaise in 2019
Notions of intrinsic motivation by Martin Biehl in 2017
Naturalizing Badiou by Fabio Gironi in 2014
Lectures on Geometrical Anatomy of Theoretical Physics by Frederic Schuller in 2015
Jurgen Jost
Joachim Krug ICTS Lectures June 2019
Introduction to dynamical large deviations of Markov processes by Hugo Touchette in 2018
George Box
Expanding the Active Inference Landscape More Intrinsic Motivations in the Perception-Action Loop by Martin Biehl, Daniel Polani, et al in 2018
Economic alternatives for the future by Roberto Mangabeira Unger in 2020