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When Gradient Descent Is a Kernel Method
| | jxmo.io
Introduction to variational autoencoders - Jack Morris
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | www.ethanepperly.com
Five Interpretations of Kernel Quadrature Ethan N. Epperly
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| | windowsontheory.org
A blitz through classical statistical learning theory - Windows On Theory
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| | Previous post: ML theory with bad drawings Next post: What do neural networks learn and when do they learn it, see also all seminar posts and course webpage. Lecture video (starts in slide 2 since I hit record button 30 seconds too late - sorry!) - slides (pdf) - slides (Powerpoint with ink and animation)...
| | www.nicktasios.nl
Latent Diffusion Series: MNIST Classifier | NICK TASIOS
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| In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In this first post, we will tr