tutorial Bayesian Change Point Models Inference for HMMs with switch variables Neural Ordinary Differential Equations From introduction to latent NODEs SDEs and MCMC Connections between stochastic diff eqs and Markov chain Monte Carlo PCA and Auto-encoders An introduction to PCA and auto-encoders Diffusion Models A technical introduction to diffusion models Transformers tutorial A gentle introduction to transformer architectures
