Top Tweets for #HepML
.@brucedenby is the author of the very first paper on AI and Particle Physics back in 1988, when he was a post-doc in Orsay ( @IJCLab @cnrs_in2p3) working in the @CERN LEP DELPHI experiment.
He was almost fired for this!
#HEPML @dorigo @KyleCranmer @GregorKasieczka
Also featuring the #CaloChallenge!
(Yes, the write-up will come later this year!)
#EuCAIFCon24 #HEPML
Pre Christmas #HEPML papers, part 3
Together with Ben Nachman (@BPNachman), Ian Pang, David Shih, and Yunhao Zhu, we wondered:
When you learn to simulate #CalorimeterShowers with #NormalizingFlows, what else can you do with the likelihood of showers that you now have access to?
Pre Christmas #HEPML papers, part 2.
Together with Florian Ernst, Luigi Favaro, Tilman Plehn, and David Shih, we investigate how we can go beyond CaloFlow and scale #NormalizingFlows up to high-dimensional #Calorimeter data, while still being really fast in generation.
1/5
Pre Christmas #HEPML papers, part 1.
Together with Hosein (@Rythian47, who did most of the work!), we give an overview of #DeepGenerativeNetworks for #CalorimeterSimulations:
Check it out:
https://t.co/0plAtPnj3x
🎉Excited to share our latest paper , https://t.co/AkWXU2XDXE, together with @ClaudiusKrause for the "Fast Simulation" in particle physics enthusiasts!
Navigating a vast body of research, we tried to offer a unified and taxonomic view of the landscape of deep generative models for simulating detector signatures, such as jets, showers, and tracks. We aim to bridge the existing gap in this sparse and occasionally overlooked research, ensuring an inter-experimental perspective that remains objective and free from bias.
📔Also as a chapter in my PhD thesis, It was an extremely challenging yet rewarding journey, distilling years of research into a comprehensive survey.
#AI4Science
Thank you, @ClaudiusKrause, for organizing this amazing workshop – you did a great job!
#GlühWien #Vienna #HEPML
@ClaudiusKrause is kicking off the first day of the "GlühWien" workshop in beautiful Vienna
@oeaw @HEPHY3
https://t.co/WEPpkui6vu
You've run an ML challenge ?
Great !
Now what ?
Check out "Towards impactful challenges with post-challenge papers, benchmarks..." https://t.co/40XOyzGIDM
a chapter (with A. Marot / @NehzUx) of upcoming landmark book "AI Competitions and Benchmarks"
#kaggle @ChaLearn_org
This was quite an adventure to set up but thrilled it eventually worked out.
I anticipate several AI and Fundamental Physics PhD topics to be proposed under the theme #AI and uncertainties of @UnivParisSaclay COFUND https://t.co/qC7Vyxbynh #HEPML
https://t.co/fknbnGz40N
Hey #HEPML community, the #LivingReview just got a facelift.
It now has expandable sections, a table of contents, a separate list of recent additions, a search bar, ...
Check it out:
https://t.co/1u5Z7kHdom
Hi particle and nuclear physicists working on #MachineLearning ! We are looking to add additional managers of the Living Review: https://t.co/5vZpoyd5fa. Please send me a message if you would like to learn more!
Finally happening ! 35 years later, @brucedenby is back at LAL (now @IJCLab) Orsay.
Telling us how he came up with the very first AI in HEP paper. #hepml
This is a great piece of work by @Giles_C_Strong , who has thoroughly tackled the 2014 #HiggsML #kaggle challenge with modern tools. #hepml
'On the impact of modern #deeplearning techniques.....in an experimental high-energy #physics use case' by @Giles_C_Strong @UniPadova @CERN hits 2000 downloads! https://t.co/ucBIwFZKlK #machinelearning #particlephysics #Higgs #HEP #LHC #HPC @ATLASexperiment @CMSExperiment @LHCbEx
After 2 years delay, thrilled to see this event finally happening hybrid at @PascalInstitut !
AI and physics, with 3 successive workshops on Representation learning, Uncertainties, and Generators, and a final general conference. #hepml
https://t.co/H3WRve4C6U
Yep, I’ll try and connect what we do with AI with what AI does elsewhere, and what are the specific challenges for us….#hepml
Will deal both about ML for physics and physics for ML. Amazing plenary speakers. Plus contributed posters and short talks, deadline 27th August. #hepml
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