About A collection of AWESOME things about information geometry Topics

Code accompanying our papers on the "Generative Distributional Control" framework

Official code for Fisher information embedding for node and graph learning (ICML 2023)

Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.

Fisher-Bures Adversary Graph Convolutional Networks

PyTorch implementation of α-geodesical skew divergence

Picture of the Space of Learnable Tasks (ICML 23)

Essential Books for Computer Science

Trainer for manifold-valued Hidden Markov Models

Code for a talk about applications in information geometry.

Adrian Millea - academic website

Visualizations of the Bernstein–von Mises theorem

My personal website

Official implementation of the paper "Pseudo-Non-Linear Data Augmentation via Energy Minimization"

Landing page for the SMiG Lab

This repository contains coursework and project materials for an advanced course on Information Geometry, Statistics and Learning. It includes problem set solutions and a final project exploring Information geometry and it's applications. The work bridges differential geometry with statistics and machine learning.