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....
We show that a hybrid (conserving+breaking) architecture combines the advantages of symmetry-conserving networks (fast learning) and breaking ones (higher maximum performance).
Great work by Seth with @aishikghosh.bsky.social, Ed, @danielwhiteson.bsky.social
Full paper: arxiv.org/abs/2412.18773
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!
We prepared 180M jets from 2016 CMS data taking to be easily used for machine learning & demonstrate their use for pre-training.
Data at: www.fdr.uni-hamburg.de/record/16505
Paper at: arxiv.org/abs/2412.10504
w/ @ozamram.bsky.social, @joschkabirk.bsky.social, @mikraemer.bsky.social & others
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
