Maps,
Functions, and
Arrows

Here I explore AI and ML concepts, make my thoughts and understanding accessible to myself in the future, and simultaneously share these things with others —because sharing is good.

The intent is not — sorry :) — to target the most broad audience. Sometimes I rather focus on the core ideas behind the algorithms rather than their most performant implementations, but that changes contantly.

Latest Posts

Speaker segmentation in Gen — Probabilistic modeling of speaker similarity matrices 15 Oct 2022
Diffusion models 101 — Approximate reverse kernel bypassing ELBO and KL-divergences 01 Oct 2022
The Chinese Restaurant Process — Derivation from finite Dirichlet mixtures 01 Sep 2022
The Metropolis-Hastings Algorithm — MCMC Snippets (2) 19 Jul 2022
Uniqueness of the stationary distribution — MCMC Snippets (1) 06 Feb 2022
Finite Sample Expressivity of Neural Networks 12 Jan 2017
Compression after Lempel and Ziv 17 May 2016
Sparse Distributed Representions and Witness Complexes 22 Feb 2016
Mapper: (Naive) Python Implementation 22 Feb 2015
K-Means clustering and Lloyd's algorithm 23 Jan 2015
Mapper — A discrete generalization of the Reeb graph 08 Dec 2014
OPTICS — Density based clustering (2) 23 Nov 2014
DBSCAN — Density based clustering (1) 17 Nov 2014