
R-INLA
@bayescomp_inla
Making Bayesian computation fast since 2005.
More at r-inla.org and cemse.kaust.edu.sa/bayescomp
ID: 1640636616418168832
http://r-inla.org 28-03-2023 08:47:48
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I'm delighted to announce a differentiable INLA implementation in JAX, from my colleague Anton Geraschenko. In principle this lets you fit latent Gaussian MRFs (e.g., for spatial stats, or SLAM) with gradient-based methods, although currently the memory use is prohibitive . The trick





It is my pleasure to announce the 2nd Bayes-Duality workshop, focusing on the design of AI that learns adaptively, robustly, and coninually, like humans. bayesduality.github.io/workshop_2024.… You can watch all 26 talks through zoom livestream (June 12-21). Register at …c59ed978213830355fc8978.doorkeeper.jp/events/172217














