Henry Bigelow CV
Articles
Transformer From Scratch
A Derivation of Diffusion, and relation to VAE
Kernel Methods
Predictive Coding + Autoencoder
Agent Action as Encoding
To Learn from Action, the Brain must Close the Loop
VAE training dynamics and complexity analysis
Thoughts on Autoencoders
Derivation of Free Energy
The Mutual Information of Quantization vs. Noise
How minimizing KL-divergence maximizes Mutual Information
Predictive Coding (Bogacz Tutorial) Model Visualization
Tools
Jupyter Cell Editor for Markdown, HTML and Latex
About me
Machine learning researcher interested in autoregressive models,
autoencoders, information theoretic training, predictive coding. Software
engineer with experience as Lead Software Architect at SaaS startup developing
cloud-based, multi-user collaboration tool. Computational Biologist with 7
years industry experience developing and applying machine learning models to
genome-scale problems in drug target discovery.