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 astroautomata.com
A tutorial on simulation-based inference - Astro Automata
| | stribny.name
Artificial Intelligence in Python
2.9 parsecs away

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| | Fields in Artificial Intelligence and what libraries to use to address them.
| | jxmo.io
Introduction to variational autoencoders - Jack Morris
2.3 parsecs away

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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | iclr-blogposts.github.io
Elaborating on the Value of Flow Matching for Density Estimation | ICLR Blogposts 2024
3.5 parsecs away

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| | The transfer of matching-based training from Diffusion Models to Normalizing Flows allows to fit expressive continuous normalizing flows efficiently and therefore enables their usage for different kinds of density estimation tasks. One particularly interesting task is Simulation-Based Inference, where Flow Matching enabled several improvements. The post shall focus on the discussion of Flow Matching for Continuous Normalizing Flows. To highlight the relevance and the practicality of the method, their use and advantages for Simulation-Based Inference is elaborated.
| | stevensoojin.kim
Steven Soojin Kim
28.6 parsecs away

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| A survey of Poincaré inequalities appearing outside of PDE.