Seydina Ousmane NIANG

Research in mathematics

The Complete Mathematical Background for Artificial Intelligence

A comprehensive reference covering linear algebra, analysis, probability theory, statistics, Bayesian methods, and Markov chains — everything you need for modern AI and machine learning.

26 min read · April 03, 2026

2026 · mathematics, linear-algebra, probability, statistics, Bayesian, Markov-chains, AI · mathematics
An Introduction to Variational Autoencoders (VAE)

A gentle introduction to Variational Autoencoders: theory, probabilistic foundations, and PyTorch implementation.

9 min read · April 03, 2026

2026 · deep-learning generative-models VAE PyTorch · machine-learning
Denoising Diffusion Probabilistic Models

June & September, A comprehensive introduction to Denoising Diffusion Probabilistic Models

17 min read · March 15, 2023

2023 · machinelearning · sample-posts
a post with formatting and links

march & april, looking forward to summer

2 min read · March 15, 2015

2015 · formatting links · sample-posts