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Variational Inference with Normalizing Flows ยท Depth First Learning
| | kyunghyuncho.me
Stochastic variational inference for low-rank stochastic block models, or how i re-discovered SBM unnecessarily - Kyunghyun Cho
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| | blog.fastforwardlabs.com
Under the Hood of the Variational Autoencoder (in Prose and Code)
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| | The Variational Autoencoder (VAE) neatly synthesizes unsupervised deep learning and variational Bayesian methods into one sleek package. In Part I of this series, we introduced the theory and intuition behind the VAE, an exciting development in machine learning for combined generative modeling and inference-"machines that imagine and reason." To recap: VAEs put a probabilistic spin on the basic autoencoder paradigm-treating their inputs, hidden representations, and reconstructed outputs as probabilistic ...
| | tiao.io
A Tutorial on Variational Autoencoders with a Concise Keras Implementation | Louis Tiao
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| | An in-depth practical guide to variational encoders from a probabilistic perspective.
| | www.edwinwenink.xyz
Self portraits using stable diffusion
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| [AI summary] The author explores using Stable Diffusion to create professional self-portraits without fine-tuning, experimenting with reference images and artistic styles to achieve a recognizable likeness.