@julienbrandoit.bsky.social

"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-rozet.bsky.social

Training-Free Bayesian Filtering with Generative Emulators

Bayesian filtering is a well-known problem that aims to estimate plausible states of a dynamical system from observations. Among existing approaches to solve this problem, particle filters are theoret...

arxiv.org

ICML Conference@icmlconf.bsky.social · 3mo ago

Congrats again to authors of accepted #ICML2026 papers! The camera-ready deadline is 5/28. Drawing your attention to two specific features: 1. As last year, to help communicate research to a broad audience, papers will have lay summaries. Tips & details in blog 1/3

Project Glasswing from Anthropic and others shows that the AI era will not just happen on its own; we need to actively build the tools and institutions to make it safe and manageable.

In case it helps anyone: I just put 6+ million conductance-based neuron simulations (STG & DA models) on Zenodo. Took a few days of cluster time to generate. Spike trains with various sampling strategies and noise levels, ready to use. Code and information : shorturl.at/BAALO

Great to welcome a local TV crew into our lab! 🎥🧠 We had the pleasure of hosting the LABO4 team for a behind-the-scenes look at our daily research on the mysteries of the human brain. Catch the segment tonight at 19:30 on QU4TRE! 👉 www.news.uliege.be/cms/c_206393...

LABO4 | Le cerveau humain

Découvrez comment nos chercheurs explorent le cerveau humain pour comprendre comment il se construit, ce qui le rend unique et comment il inspire les machines de demain.

news.uliege.be

Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).

Gaute Einevoll@gauteeinevoll.bsky.social · 5mo ago

Episode #38 in #TheoreticalNeurosciencePodcast: On extracting spiking network models from experiments - with Richard Gao @rdgao.bsky.social theoreticalneuroscience.no/thn38 How to fit spiking network models to experimental data when there is no unique parameter set giving the best fit.

We’ve heard a lot about deep nudes and sexual deepfakes made without consent. Yet for weeks now, social media platforms from Meta have been running ads for deepfake apps, available directly on the App Store. I’ve reported at least 5 of them in the past 2 weeks. How did this become normalized?

Super interesting talk! Perceptions and actions shouldn’t be viewed as opposite or orthogonal concepts, but rather as two sides of the same coin under the Bayesian brain hypothesis.

Data on the Brain & Mind @NeurIPS2025@dataonbrainmind.bsky.social · 8mo ago

For our second talk of the workshop afternoon session, we are honored to have Prof. Rajesh Rao sharing with us on “Predictive coding and the primacy of actions in natural and artificial intelligence” #NeurIPS2025 📍Location: Upper Level Room 10. 🗓️ data-brain-mind.github.io

Thanks for this talk @cpehlevan.bsky.social ! The call for a science of "AI for Science" and for caution when interpreting learned mechanisms in a purely data-driven context was particularly insightful.

Data on the Brain & Mind @NeurIPS2025@dataonbrainmind.bsky.social · 8mo ago

For our second talk of the workshop, we are honored to have Prof. @cpehlevan.bsky.social sharing with us on “Is the brain mechanistically interpretable?” #NeurIPS2025 📍Location: Upper Level Room 10. 🗓️Schedule: data-brain-mind.github.io

Thrilled to announce that our work on reconstructing degenerated neuronal populations has been accepted at the NeurIPS 2025 Workshop on Data on the Brain & Mind 🎉 I will be in San Diego in early December to present a poster, and I’m really looking forward to it!

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