Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators
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Updated
Nov 20, 2024 - Jupyter Notebook
Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators
Voronoi diagrams in N dimensions using an improved raycasting method.
Continuation of AJC work (2020-21) with trips to hitting time optimization, spa, sqra, isokann, committor neural network, sparse boxes, voronoi linear program, meta sgd, adaptive euler maruyama
Bayesian inference for the GynCycle model
Scripts for the analysis of the innocent agent rates from the MoTMo model.
Optimal Importance Sampling for Diffusion processes applied to ISOKANN.
Estimation of objective priors from cohort data
Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl
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