Gregor Kasieczka
@kasieczka.bsky.social
Full Professor for Machine Learning in Particle Physics at Universität Hamburg | Searching for new physics with #CMSExperiment | He/Him
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/...
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/...
Ausschreibung
www.uni-hamburg.de
February 28, 2025 at 12:53 PM
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/...
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
Congratulations Erik for this #EPiC [1] PhD!
[1] arxiv.org/abs/2301.08128
January 29, 2025 at 7:24 PM
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
Congratulations Erik for this #EPiC [1] PhD!
[1] arxiv.org/abs/2301.08128
Reposted by Gregor Kasieczka
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.
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.
INSPIRE
inspirehep.net
January 28, 2025 at 11:12 PM
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.
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
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
January 28, 2025 at 3:45 PM
🎉🎉🎉 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
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
Reposted by Gregor Kasieczka
#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
January 27, 2025 at 1:03 PM
#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...
vordenker.faz.net/protonen-hab...
»Protonen haben keine Rechte« | vor:denker
Wenn die Teilchenphysiker in der Nähe von Genf 40 Millionen Kollisionen pro Sekunde erzeugen, sind sich Physik und Künstliche Intelligenz ganz nah. Dann generiert der Teilchenbeschleuniger des Europäi...
vordenker.faz.net
January 17, 2025 at 7:29 AM
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...
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
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
ACAT 2025
23rd International Workshop on Advanced Computing and Analysis Techniques in Physics Research The 23rd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 20...
cern.ch
January 14, 2025 at 10:52 AM
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
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
a bald man is sitting in a chair with his hand on his chin and looking up .
ALT: a bald man is sitting in a chair with his hand on his chin and looking up .
media.tenor.com
January 14, 2025 at 10:31 AM
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
Reposted by Gregor Kasieczka
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....
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
This paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs). These models, based ...
arxiv.org
January 10, 2025 at 7:38 AM
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?
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?
January 6, 2025 at 8:44 AM
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?
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!
Check out arxiv.org/abs/2411.00085 for a new idea on how to extract anomalies!
December 18, 2024 at 7:37 AM
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!
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?
🤔 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?
December 17, 2024 at 7:21 AM
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?
🤔 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
Besides great talks by Hamburg & other students, we also got to see the local KATRIN experiment which is trying to measure the neutrino mass
December 16, 2024 at 4:56 PM
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
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...
With many thanks to DPG for inviting me to write about my favourite topics!
www.dpg-physik.de/veroeffentli...
Physiknobelpreis 2024: Physik in der Künstlichen Intelligenz
Ausgabe 73 | Dezember 2024 | „Konzepte aus der Physik haben maschinelles Lernen mitbegründet und leisten heute wichtige Beiträge, KI-Methoden weiter voranzutreiben. Gleichzeitig ist moderne Forschung...
www.dpg-physik.de
December 12, 2024 at 4:34 PM
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...
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...
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...
December 10, 2024 at 2:51 PM
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...
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!
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!
December 10, 2024 at 7:30 AM
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!
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
Expect this to be my primary place for posts in the future. Mostly on AI & Physics + the occasional terrible pun
November 20, 2024 at 6:56 PM
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
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...
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...
October 8, 2024 at 3:08 PM
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...
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...
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/...
indico.desy.de/event/42884/...
March 7, 2024 at 10:42 AM
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/...
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
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
February 5, 2024 at 2:01 PM
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
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!
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!
December 15, 2023 at 3:10 PM
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!
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
In case you want to know more, @cmsexperiment.bsky.social has you covered: cms.cern/news/searchi...
#PhDdone
December 5, 2023 at 1:41 PM
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
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
December 5, 2023 at 9:26 AM
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...
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...
December 4, 2023 at 9:52 AM
🚨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...
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...