I'm very excited about this new paper, which kicks of our LEGO ERC project we started earlier this year towards general-purpose AI surrogates for simulating radiation-matter interaction. Instead of training AI surrogates for specific detectors or material distribution ...
can we train one that works for many detectors our of the box?
The idea is: try to learn a composable building block (hence LEGO/BRICKS :) ) of next-particle prediction that distills the collective effects of particle interacting with matter that can be iterated just like mechanistic simulators
The new gravitational wave data is public, this is so exciting!
Analyzing so many events is becoming increasingly expensive.
That's why we have used DINGO for the first time to support the official LVK analysis. After training the neural networks, you can analyze suitable events over night! 🥳🤩
Great to be back in Pittsburgh - first time I’m visiting CMU
You know your PhD students are ready to graduate when they start organizing their own workshops - here is our own Malin Horstmann kicking off the SBI in @atlasexperiment.bsky.social workshop!
Video
Video
I always enjoy coming to Nikhef - and happy that my finishing PhD Malin Horstmann will start her Postdoctoral there - what a great place!
this one of these papers that was 100% worth really digesting deeply.. it's shaped a lot how I think about / understand stats in HEP. Congrats!
This was a true team effort with a very cool student group at TUM and also friends around the world. Can't wait to see where this goes.
Paper Link: arxiv.org/pdf/2605.06591
OpenAI's claim that this is a central conjecture in discrete geometry is not an exaggeration. This will I think be looked back on as the first time that AI solved a major mathematics problem (defined as a problem that all experts in some subfield had thought about).
openai.com/index/model-...
but with the benefit of tractable likelihoods, differentiability (and perhaps acceleration).
With this paper, we give a first reference implementation that hopefully establishing a new direction for improvement for the next few years
openai.com
arxiv.org
An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.
Inspiring colloquium at @nikhef.bsky.social by @lukasheinrich.com on AI in Particle Physics
The @ligo.org – Virgo – KAGRA Collaboration published today a new catalog of gravitational wave events that adds 161 events to the collection, bringing the total number of gravitational wave signals detected to date to 390 🤯
EGO and the Virgo Collaboration
Tristan du Pree
I have great memories of this project, which developed from a narrowly scoped question to something much more impactful over more than a year. It’s interesting how terms like “Asimov” and “signal strength” and “mu” now permeate the field.
Kyle Cranmer
Cowan @kylecranmer.bsky.social Gross Vitells 2013 Eur.Phys.J.C article
"Asymptotic formulae for likelihood-based tests of new physics"
inspirehep.net/literature/8...
reaches 6,000 citations.
