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klotz: neural network* + machine learning* + bayesian*

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1. Scalable spatiotemporal prediction with Bayesian neural fields

   This article introduces the Bayesian Neural Field (BayesNF), a method combining deep neural networks with hierarchical Bayesian inference for scalable and flexible analysis of spatiotemporal data, such as environmental monitoring and cloud demand forecasting.

   2024-09-28 Tags: bayesian, neural network, spatiotemporal prediction, mature, machine learning by klotz
2. Diffusion Models: Notes on Theory and Applications

   A deep dive into the theory and applications of diffusion models, focusing on image generation and other tasks, with examples and PyTorch code.

   2024-05-27 Tags: diffusion models, image generation, denoising, normalizing flows, gans, stable diffusion, ai art, neural networks, probability theory, generative modeling, bayesian, gaussian distributions, pytorch by klotz
3. Bayesian Neural Networks with TensorFlow Probability

   2020-02-13 Tags: tensorflow, bayesian, neural network, probability, modelling by klotz
4. “Bayesian Neural Network Series Post 1: Need for Bayesian Networks”

   2019-01-02 Tags: neural network, bayesian by klotz

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