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 iclr-blogposts.github.io
Bridging the Data Processing Inequality and Function-Space Variational Inference | ICLR Blogposts 2024
| | www.depthfirstlearning.com
Variational Inference with Normalizing Flows ยท Depth First Learning
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| | [AI summary] The user has provided a detailed and complex set of questions and reading materials related to normalizing flows, variational inference, and generative models. The content covers topics such as the use of normalizing flows to enhance variational posteriors, the inference gap, and the implementation of models like NICE and RealNVP. The user is likely seeking guidance on how to approach these questions, possibly for academic or research purposes.
| | lilianweng.github.io
What are Diffusion Models? | Lil'Log
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| | [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model. [Updated on 2024-04-13: Added progressive distillation, consistency models, and the Model Architecture section.
| | jaketae.github.io
Demystifying Entropy (And More) - Jake Tae
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| | The other day, my friend and I were talking about our mutual friend Jeremy. "He's an oddball," my friend Sean remarked, to which I agreed. Out of nowhere, Jeremy had just told us that he would not be coming back to Korea for the next three years. "He is just about the most random person I know." And both of us, being aspiring statistics majors, began wondering: is there a systematic way of measuring randomness? It is from here that we went down the rabbit hole of Google and Wikipedia search. I ended up landing on entropy land, which is going to be the topic for today's post. It's a random post on the topic of randomness.
| | ujjwalkarn.me
A Quick Introduction to Neural Networks - Ujjwal Karn's blog
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| An Artificial Neural Network (ANN) is acomputational modelthat is inspired by the way biological neuralnetworks inthe human brain process information. Artificial Neural Networks have generated a lot ofexcitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to...