Code accompanying our papers on the "Generative Distributional Control" framework
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Updated
Dec 7, 2022 - Python
Code accompanying our papers on the "Generative Distributional Control" framework
About A collection of AWESOME things about information geometry Topics
Fisher-Bures Adversary Graph Convolutional Networks
PyTorch implementation of α-geodesical skew divergence
Landing page for the SMiG Lab
Essential Books for Computer Science
Adrian Millea - academic website
Visualizations of the Bernstein–von Mises theorem
Picture of the Space of Learnable Tasks (ICML 23)
Official code for Fisher information embedding for node and graph learning (ICML 2023)
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.
Trainer for manifold-valued Hidden Markov Models
Code for a talk about applications in information geometry.
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