My bachelor thesis

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

Early work on the AJC and coherence (2019/2020) also with weather data

Approximation of the generator of a Diffusion process by pointwise potential evaluations.

Bayesian inference for the GynCycle model

Scripts for the analysis of the innocent agent rates from the MoTMo model.

Julia implementation of PCCA+

Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

A julia package for clustering spatial timeseries, like for example eye-tracking data, based on PCCA+.

Estimation of objective priors from cohort data

tensorized sqra

Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl

Python implementation of severals tools (PCCA, AJC, SQRA, P/Q estimation) for the analysis of dynamical systems from the transfer operator perspective.

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.