Two #Jobs with us at @uni-hamburg.de 1) *Permanent* staff position for ultrafast machine learning on FPGAs [1] 2) #PhD position for building & applying unsupervised ML to discover anomalies in data [2] [1] www.uni-hamburg.de/stellenangeb... [2] www.dashh.org/application/...

Today we celebrate Erik Buhmann who just defended his excellent doctoral work on generative AI applied to detector simulation! Congratulations Erik for this #EPiC [1] PhD! [1] arxiv.org/abs/2301.08128

Hey y'all US friends! Did you see my postdoc ad to come and work with me on CMS? inspirehep.net/jobs/2864716 We usually get very few American applicants in EU unis (zero again, so far), but maybe at this moment in time it's a nice opportunity? Deadline is flexible.

🎉🎉🎉 Many congratulations to Manuel for defending his PhD thesis on detecting anomalies in particle physics data! He did a great job, not only on the CATHODE approach for anomaly detection based on weak supervision, but also applying it to data collected by the CMS experiment at CERN. #PhDone

#CMSPaper 1366 examines a large sample of particle jets for behaviour inconsistent with the standard model, using ambitious unsupervised, weakly supervised and semi-supervised #machinelearning methods. They were usually more sensitive than 'classic' particle physics methods https://buff.ly/3CZwpmr

Interview (in German) I recently gave to the FAZ Vor:Denker on AI, Physics, and how they do & will benefit each other. vordenker.faz.net/protonen-hab...

Abstract submission for #ACAT2025 is now OPEN! This will be the 23rd ACAT and we have an exciting theme: "Transforming the Scientific Process: AI at the Heart of Theory, Experiment, and Computation in High-Energy and Nuclear Physics" See you in Hamburg in September! cern.ch/acat2025

Yes, please publish a new "open" dataset on a portal that requires login and only works if you are affiliated with the same university as the authors

With @henkderegt.bsky.social, @danielkostic.bsky.social, @kasieczka.bsky.social and others, we have submitted a white paper that provides a potential roadmap for the development and evaluation of physics-specific AI models: arxiv.org/abs/2501.05382, see also www.lorentzcenter.nl/physics-en-q....

Now(ish) on arxiv: Learning Broken Symmetries with Approximate Invariance Invariances (or, as physicists call them: symmetries) of the data can be baked into a ML model to improve performance or data efficiency. However, in reality, these symmetries are often broken. How to deal with that?

Realised with the very nice talk by Marie yesterday that I had never posted about our joint paper: "Accurate and robust methods for direct background estimation in resonant anomaly detection" Check out arxiv.org/abs/2411.00085 for a new idea on how to extract anomalies!

New paper on #arxiv, inspired by discussions this summer at the Aspen Center for Physics 🤔 Foundation models need huge amounts of training data. 🤔 There now exist large volumes of #OpenData by e.g. @cmsexperiment.bsky.social 💡 Why not use that data for training?

Greetings from our AI & Physics with friends workshop, this year hosted by Markus @kitkarlsruhe.bsky.social! Besides great talks by Hamburg & other students, we also got to see the local KATRIN experiment which is trying to measure the neutrino mass

Looking for a short & easy to understand (although in German) introduction to the connections between AI, Physics, & the recent Nobel price? Look no further than the new Physik Konkret! With many thanks to DPG for inviting me to write about my favourite topics! www.dpg-physik.de/veroeffentli...

Congratulations to Sebastian Bieringer who successfully defended his PhD today! This was a *truly* interdisciplinary work [1] between particle physics, maths/statistics (thanks to excellent co-supervisor Mathias Trabs) and machine learning! [1] inspirehep.net/authors/1906...

Finally on #arxiv: Massive @cmsexperiment.bsky.social paper searching for anomalies in data: arxiv.org/abs/2412.03747 No new physics but it shows that ML-based anomaly detection methods can indeed be applied to collider data and offer a broad sensitivity to different potential signals!

Wow, did not check in for a while and now this place is BUZZING 🐝🐝🐝 Expect this to be my primary place for posts in the future. Mostly on AI & Physics + the occasional terrible pun

Got interviewed by German national TV today about the very inspired hashtag#NobelPrize decision. Concepts from physics have been pivotal in developing machine learning & in turn we can use modern AI tools to do amazing physics. Video here (in German): www.tagesschau.de/multimedia/v...

Look at (&share!) this amazing poster for #ML4Jets this November in Paris

Now at #DPG24: Our postdoc #LisaBenato with an awesome overview of searches for long-lived particles! Great to see over the last years the path from wild ideas to published results by @cmsexperiment.bsky.social @atlasexperiment.bsky.social @lhcb.bsky.social & more indico.desy.de/event/42884/...

A new #PhD position in my group at Uni Hamburg: You get to build new anomaly detection tools (e.g. smarter versions of 2109.00546) & run them on data collected by the @cmsexperiment.bsky.social Details & application at: www.uni-hamburg.de/stellenangeb... Please consider sharing. #AcademicJobs

Had a great time teaching generative models at the COFI school in Puerto Rico Don't usually post too many photos, but this might be a justified exception Program & slides at: indico.cern.ch/event/1299889/ With many thanks to the organisers Kevin, Mayda, and Michael!

Congratulations to Joerg who just successfully defended his PhD searching for very far-out particles 🎉🎉🎉 In case you want to know more, @cmsexperiment.bsky.social has you covered: cms.cern/news/searchi... #PhDdone

Not a geologist, but I think it's beautiful to see stalactites and stalagmites growing towards each other

🚨New paper alert🚨 In arxiv.org/abs/2312.00123 we show how to scale generative models to more complex data, and learn many properties (1st pic) beyond kinematics for 10 types of jets (2nd pic) based on the JetClass dataset   Code to compare, etc soon at: github.com/uhh-pd-ml/be...

Kicking off the final morning at the #AISSAI workshop is Tommaso Dorigo with a great overview of techniques to handle uncertainties in HEP data analysis. See his slides for details and many further pointers: indico.in2p3.fr/event/30589/...

Best door sign design ever at guest offices of the also otherwise brilliant AI uncertainty workshop. Full program and slides for all talks at: indico.in2p3.fr/event/30589/... Thanks to DavidR #AISSAI et al for great organisation

Unethical academic #LifeHack: (Some) professors like clean inboxes. If you need something, send multiple emails with different subjects. This way they can delete many items for the price of doing one task. And your colleagues will love you for it! #AcademicChatter

Greetings from the last big meeting of our cluster of excellence quantum universe for this year Caught in discussion with our excellent spokesperson Erika (Luckily the top-secret sheet of paper is sufficiently blurry)

Do you want to know what @cmsexperiment.bsky.social is up to in terms of #anomaly detection? Look no further than our note out now! cds.cern.ch/record/28810... While no results on data (yet), it gives a shape of the things to come...

Sorry for silence recently, busy hosting #ML4Jets in Hamburg. Thanks for all the seriously excellent developments on AI applied to particle physics (& beyond) Not going to summarize the 133 (!) contributions here, but you can check out the slides: indico.cern.ch/event/1253794

Moin! #ml4jets is in #Hamburg this week hosted by the #QuantumUniverse cluster of UHamburg and DESY! In #OpenScience tradition, all slides are here indico.cern.ch/event/125379... including ~130 contributions, and a dedicated remote #Thursday Pic: Gregor Kasieczka opening the conference 🤩

See this great #research highlight on her recent search for 'Dark Showers' with the @cmsexperiment.bsky.social by our postdoc Lisa: www.qu.uni-hamburg.de/research/hig...

Application for the #AspenPhysics summer workshops is now open at [1]. If you'd like to join our workshop on 'Fundamental Physics in the Era of Big Data and Machine Learning' you know where to go.. [1] aspenphys.org/physicists/s...

New paper on #arxiv (2310.09335) on uncertainty quantification. Result of a nice #DASHH collaborative project with excellent colleagues from math. Still culture shocked by the fact that math papers don't seem to do conclusion but end in proofs.

The physics gang problem is really getting out of hand in Hamburg.

New #paper on arXiv: 'Full Phase Space Resonant Anomaly Detection' (arxiv.org/abs/2310.06897) A nice side effect of recent better generative models for HEP data is that we can now learn and interpolate in much higher dimensions, improving anomaly detection

Check out this #poster our student Manuel prepared for the @unihamburg.bsky.social #DigitalTotal event today. Very nice and accessible explanation of what we do with #anomaly detection

A (very small) #sustainability experiment at the upcoming #ML4Jets workshop: #BYOB (Bring your own badge) By the way, registration closes tonight (!) at indico.cern.ch/event/1253794/

For the next three days #CMSExperiment researchers from Germany gather for our annual meeting, this year at #DESY Always great to meet collaborators in person & learn about the broad research carried out in DE. No live updates as results discussed are still secret

What's better than one new paper on #anomaly detection to start the week?  Two new papers on anomaly detection of course!  Out now: arxiv.org/abs/2309.12918 & arxiv.org/abs/2309.13111

Guess which small conference just passed 100 submitted abstracts PS: The #ML4Jets abstract submission is open until 23:30 Hamburg time tonight

#HelloWorld - exciting to be here I'll mostly post about my research in machine learning and particle physics with the occasional very bad pun in between. PS: Thanks to @pkoppenburg.bsky.social for the invite!