Articles on ML and related math

Henry Bigelow CV


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


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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.