"Accept (spotlight)" at ICML'26 😎 Our paper brings particle filters back to life: autoregressive diffusion models + posterior sampling yield optimal proposals for Bayesian filtering, scaling up to GenCast-sized systems. arxiv.org/abs/2605.20028 w/ Thomas Savary and @francois-r…
Who's Who of AI
Gilles Louppe
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
What they're sharing
[2605.20028] Training-Free Bayesian Filtering with Generative Emulators arxiv.org
arxiv.org
View on Bluesky →
Articles & links
Gilles Louppe reposted
Henry and co-authors arxived a really exciting paper today (arxiv.org/abs/2605.21041) on a new paradigm for Gaussian Process regression where you can condition on (almost) ANYTHING, even LLM prompts!