Workshop on Machine Learning and High-Energy Physics

13 Dec 2023, 08:30 → 15 Dec 2023, 15:00 Europe/Vienna

Seminar room 1 + 2 (Campus Akademie)

Claudius Krause (Rutgers University)

This is a small meeting to discuss latest developments in Machine Learning and how they can be / are applied to high-energy physics. In spirit of last year's Glühwein workshop in Heidelberg, we may call this event "Glühwein Workshop 2.0 - GlühWien". 

 

Topics to be discussed include

• generative models for event generation / detector simulation
• anomaly detection
• simulation-based inference 

 

Deadline for registration is December 3rd. 

 

Please note: We are not working with "Global Travel Experts Team". Please delete all emails you receive from them. This is a scam that is NOT endorsed by us!

 

Local organizers:

• Claudius Krause (HEPHY)
• Brigitte DeMonte (HEPHY, secretary)

Wednesday 13 December

08:30 → 09:00 Registration

09:00 → 09:15 Welcome

09:00 Welcome and Organisatorical Remarks

Speaker: Dr Claudius Krause (HEPHY Vienna (ÖAW))

GlühWien_Intro.pdf

09:05 Welcome to HEPHY

Speakers: Christoph Schwanda, Christoph Schwanda (Austrian Academy of Sciences (AT))

OEAW-HEPHY.pdf

09:15 → 10:00 Morning Session

09:15 Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results

Speaker: Wolfgang Waltenberger (Austrian Academy of Sciences (AT))

gluehwien.odp

gluehwien.pdf

10:00 → 10:30 Coffee Break

10:30 → 12:00 Morning Session

10:30 Optimal operation of cryogenic calorimeters through deep reinforcement learning

Speakers: Felix Wagner (HEPHY Vienna), Felix Wagner (Vienna University of Technology)

Optimal operation of cryogenic calorimeters through deep reinforcemenet learning(2).pdf

11:15 Machine learning for modern radio surveys

Speaker: Lara Alegre (Heildelberg University)

Gluhwein2023_LA.pdf

14:00 → 15:30 Afternoon Session

14:00 A Survey of Machine Learning Methods for Anomaly Detection

Speakers: Radha Mastandrea (University of California, Berkeley), Radha Mastandrea (LBNL)

GluhWien (1).pptx

14:45 Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

Speaker: Michael Kramer (Rheinisch Westfaelische Tech. Hoch. (DE))

mkraemer_Wien_2023.pdf

15:30 → 16:00 Coffee Break

16:00 → 17:30 Afternoon Session

16:00 Semi-visible jets, energy-based models, and self-supervision

Speaker: Luigi Favaro

darkclr_gluhwien.pdf

16:45 Hunting for di-Higgs in hadronic final states: showcasing Machine Learning for modelling of hadronic backgrounds and elucidating rare signals

Speaker: Nicole Michelle Hartman (TUM (DE))

Hartman-ML-HH4b-Vienna-builds.pdf

18:00 → 20:00 Welcome Reception

Thursday 14 December

09:00 → 10:00 Morning Session

09:15 Tree boosting for learning EFT parameters

Speaker: Dennis Schwarz (Austrian Academy of Sciences (AT))

BIT_2023-12-14.pdf

Slides

10:00 → 10:30 Coffee Break

10:30 → 12:00 Morning Session

10:30 Generative Modelling of Calorimeter Showers and Particle Jets

Speaker: Thorsten Lars Henrik Buss (Universität Hamburg)

T.Buss.GluehWien.pdf

11:15 ML applications in searches for long-lived particles at CMS

Speaker: Lisa Benato (Hamburg University (DE))

ML_HEP_Vienna_LLP_Benato_2023_12_14.pdf

14:00 → 15:30 Afternoon Session

14:00 The MadNIS Reloaded

Speakers: Theo Heimel (Universität Heidelberg), Theo Heimel (Heidelberg University)

madnis.pdf

14:45 Machine learning methods & Ultra-High Energy Cosmic Rays

Speaker: Blaz Bortolato (Institute Josef Stefan)

Cosmics_BB_14.12.2023_v2.pdf

Kamenik_Vienna_2023.pdf

15:30 → 16:00 Coffee Break

16:00 → 17:30 Afternoon Session

16:00 Flow Unfolding for CP-Observable Reconstruction

Speaker: Jona Ackerschott (Universite de Geneve (CH))

talk.pdf

19:00 → 21:00 Dinner

Stadtwirt, Untere Viaduktgasse 45, 1030 Wien

Friday 15 December

09:00 → 10:00 Morning Session

09:00 High Multiplicity with JetGPT - LHC Event Generation with Autoregressive Transformers

Speaker: Jonas Simon Spinner

jetgpt_gluehwien.pdf

movie.gif

10:00 → 10:30 Coffee Break

10:30 → 13:30 Morning Session

10:30 (Direct) Diffusion for LHC Event Generation

Speaker: Sofia Palacios Schweitzer (ITP, University Heidelberg)

Wien_SofiaPalaciosSchweitzer.pdf

11:15 Precision-Machine Learning for the Matrix Element Method

Speaker: Nathan Huetsch (Heidelberg University, ITP Heidelberg)

Wien2023.pdf

13:30 → 15:00 Discussion