|
09:00
|
Other
(until 13:00)
(222/R-001)
|
|
|
09:00
|
Keynotes Physics + ML
(until 10:00)
|
|
09:00
|
AI & HPC
-
Eric Wulff
(CERN)
|
|
10:00
|
--- Coffee ---
|
|
10:30
|
Contributed Talks
(until 12:30)
|
|
10:30
|
Cross-Geometry Fast Electromagnetic Shower Simulation
-
Lorenzo Valente
(University of Hamburg)
|
|
10:50
|
CMS FlashSim: how an end-to-end ML approach speeds up simulation in CMS
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
|
|
11:10
|
End-to-End Optimal Detector Design with Mutual Information Surrogates
-
Stephen Mulligan
(Universite de Geneve (CH))
|
|
11:30
|
DDFastShowerML: A Library for ML-based Fast Calorimeter Shower Simulation at Future Collider Experiments and Beyond
-
Peter McKeown
(CERN)
|
|
11:50
|
Why so Negative? Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data
-
Matthew Drnevich
(New York University (US))
|
|
|
09:00
|
EuCAIF joint session: FAIR and sustainable machine learning
(until 10:30)
|
|
09:00
|
Session program: see EuCAIF indico on https://indico.cern.ch/e/EuCAIF-FAIR-Sustainable-kickoff.
|
|
10:30
|
--- Coffee ---
|
|
11:00
|
Other
(until 12:00)
|
|
11:00
|
Robotics & Reinforcement Learning
-
Antonin Raffin
(German Aerospace Center (DLR))
|
|
|
09:00
|
Tutorials
(until 10:30)
|
|
09:00
|
MLOps infrastructure & best practices
-
Ricardo Rocha
(CERN)
|
|
10:30
|
--- Coffee ---
|
|
11:00
|
Tutorials
(until 12:30)
|
|
11:00
|
Tensor Networks
-
Enrique Rico Ortega
(CERN)
|
|
|
09:00
|
Keynotes Physics + ML
(until 10:00)
|
|
09:00
|
Summary of Calo Challenge
- Dr
Claudius Krause
(HEPHY Vienna (ÖAW))
|
|
10:00
|
--- Coffee ---
|
|
10:30
|
Contributed Talks
(until 12:00)
|
|
10:30
|
Robust Model Selection for Deep Learning
- Dr
Alexey Boldyrev
|
|
10:50
|
Automated Model Building with Reinforcement Learning: An Application to Neutrino Model Building
-
Jake Rudolph
|
|
11:10
|
Scalable Multi-Task Learning for Event Reconstruction with Heterogeneous Graph Neural Networks
-
William Sutcliffe
(University of Zurich (CH))
|
|
11:30
|
PQuant: A Tool for End-to-End Hardware-Aware Model Compression
-
Roope Oskari Niemi
|
|
|
14:00
|
Welcome
-
Matthias Komm
(Deutsches Elektronen-Synchrotron (DE))
|
|
14:05
|
Keynotes ML Research
(until 16:05)
|
|
14:05
|
Weather forecasting with foundational models
-
Ilaria Luise
(ECMWF)
|
|
15:05
|
Neural differential equations
-
Patrick Kidger
(Cradle.bio)
|
|
16:05
|
--- Coffee ---
|
|
16:30
|
Keynotes Physics + ML
(until 17:20)
|
|
16:30
|
Neural Simulation-Based Inference for HEP
-
Aishik Ghosh
(University of California Irvine (US))
|
|
|
12:30
|
--- Lunch ---
|
|
14:00
|
Contributed Talks
(until 15:30)
|
|
14:00
|
Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach
-
Anwar Ibrahim
|
|
14:20
|
Physics Instrument Design with Reinforcement Learning
-
Shah Rukh Qasim
(University of Zurich (CH))
|
|
14:40
|
Convolutional pile-up suppression in the ATLAS Global Trigger
-
Noah Clarke Hall
(University College London)
|
|
15:30
|
--- Coffee ---
|
|
16:00
|
Poster Session
(until 17:30)
|
|
17:30
|
--- Welcome Drink ---
|
|
|
12:00
|
--- Lunch ---
|
|
14:00
|
Contributed Talks
(until 16:00)
|
|
14:00
|
Anomaly Detection techniques applied to the Quality Control of new detector components
-
Louis Vaslin
(KEK High Energy Accelerator Research Organization (JP))
|
|
14:20
|
Latest improvements to CATHODE
-
Chitrakshee Yede
(Hamburg University (DE))
|
|
14:40
|
Weakly supervised signal detection for RPV SUSY multijet inclusive search
-
Takane Sano
(Kyoto University (JP))
|
|
15:00
|
Supervised contrastive learning for streamlined analysis & anomaly detection
-
Samuel Kai Bright-Thonney
(Massachusetts Inst. of Technology (US))
|
|
15:20
|
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
-
Ibrahim Elsharkawy
(University of Illinois Urbana-Champaign)
|
|
15:40
|
Anomaly preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC
-
Kyle Sidney Metzger
|
|
16:00
|
--- Coffee ---
|
|
16:30
|
Contributed Talks
(until 18:00)
|
|
16:30
|
Integrating Energy Flow Networks with Jet Substructure Observables for Enhanced Jet Quenching Studies
-
João A. Gonçalves
(LIP - IST)
|
|
16:50
|
Automatizing the search for mass resonances using BumpNet
-
Ethan James Meszaros
(Université de Montréal (CA))
|
|
17:10
|
Reinforcement Learning for background determination in particle physics
-
Guillermo Hijano Mendizabal
(University of Zurich (CH))
|
|
17:30
|
Evaluating Two-Sample Tests for Validating Generators in Precision Sciences
-
Samuele Grossi
(Università degli studi di Genova & INFN sezione di Genova)
|
|
|
12:30
|
--- Lunch ---
|
|
14:00
|
Contributed Talks
(until 15:30)
|
|
14:00
|
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
-
Arsenii Gavrikov
|
|
14:20
|
Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring
-
Vilius Čepaitis
(Université de Genève (CH))
|
|
14:40
|
Challenges Deploying a Hybrid PVFinder Algorithm for Primary Vertex Reconstruction in LHCb’s GPU-Resident HLT1
-
Mohamed Elashri
(University of Cincinnati)
|
|
15:30
|
--- Coffee ---
|
|
16:00
|
Poster Session
(until 18:00)
|
|
18:00
|
SMARTHEP Meets Industry @CERN https://indico.cern.ch/event/1518429/contributions/6431628/
(500/1-001 - Main Auditorium)
|
|
19:30
|
--- Apero with the SMARTHEP network and Confindustria Piedmont ---
|
|
|
12:00
|
Best poster lightning talk
|
|
12:05
|
Summary
-
Michał Mazurek
(National Centre for Nuclear Research (PL))
|
|
