1:00 PM
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--- Lunch at OAC ---
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2:00 PM
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Free time
(until 3:30 PM)
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3:30 PM
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--- Coffee break ---
|
3:50 PM
|
Applications in Muon Tomography
-
Maxime Lagrange
(CP3 Universite Catholique de Louvain)
(until 4:40 PM)
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3:50 PM
|
Deep neural networks applied to muon tomography scattering angular distributions
-
Carlos Diez
(Muon Tomography Systems S.L.)
|
4:10 PM
|
--- Discussion ---
|
4:15 PM
|
Ultra-fast muon tomography simulations using Adversarial Neural Networks
-
Pablo Martinez Ruiz Del Arbol
(Universidad de Cantabria and CSIC (ES))
|
4:35 PM
|
--- Discussion ---
|
4:40 PM
|
Progress in Computer Science
-
Nicolas Gauger
(Technische Universität Kaiserslautern)
(until 5:55 PM)
|
4:40 PM
|
Automatic Differentiation in ROOT
-
Garima Singh
(Princeton University (US))
|
5:00 PM
|
--- Discussion ---
|
5:05 PM
|
Differentiable Programming and the IRIS-HEP Analysis Grand Challenge
-
Gordon Watts
(University of Washington (US))
|
5:25 PM
|
--- Discussion ---
|
5:30 PM
|
Speeding up differentiable programming with a Computer Algebra System
- Mr
Remco de Boer
(Ruhr University Bochum)
|
5:50 PM
|
--- Discussion ---
|
5:55 PM
|
--- Break with no coffee ---
|
6:10 PM
|
Applications in Nuclear Physics
-
Shahid Khan
(University of Tuebingen)
(until 7:00 PM)
|
6:10 PM
|
Adaptive Experimentation to assist the detector design of the future Electron Ion Collider
-
Cristiano Fanelli
(William & Mary)
|
6:30 PM
|
--- Discussion ---
|
6:35 PM
|
FAST EMULATION OF DEPOSITED DOSE DISTRIBUTIONS BY MEANS OF DEEP LEARNING
-
Lorenzo Arsini
(Department of Physics, University of Rome “La Sapienza”, Rome, Italy, NFN, Section of Rome, Rome, Italy)
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6:55 PM
|
--- Discussion ---
|
7:00 PM
|
Wine Tasting and Poster Session
(until 8:00 PM)
|
7:00 PM
|
(Poster) Muon identification and gamma/hadron discrimination using compact single-layered water Cherenkov detectors powered by Machine Learning techniques
-
BS González
(LIP/IST)
|
7:00 PM
|
Decrypting hadronic showers for studies of particle ID with Deep Learning
-
Tommaso Dorigo
(Universita e INFN, Padova (IT))
Rumman Neshat
(Indian Institute Of Science Education and Research(IISER) kolkata)
|
7:00 PM
|
Differentiable Preisach Modeling for Characterization and Optimization of Particle Accelerator Systems with Hysteresis
-
Ryan Roussel
|
7:00 PM
|
Muon momentum measurement in Muon Scattering Tomography
- Mr
Maxime Lagrange
(CP3 Universite Catholique de Louvain)
|
7:05 PM
|
A flexible and efficient machine learning approach for data quality monitoring
- Dr
Marco Letizia
|
7:10 PM
|
Automatic Optimization of Derivatives with Polyhedral Compiler
-
Alexander Demin
(Max Planck Institute for Informatics)
|
7:10 PM
|
Concept of measuring (Multi-)Strange Hadron Yields in the CBM Experiment using Machine Learning Techniques
-
Axel Puntke
(WWU Münster)
|
7:10 PM
|
Reconstruction techniques for nuclear reactions measured with ACtive TARget TPC
-
Lorenzo Domenichetti
(INFN LNL, University of Padua)
|
8:00 PM
|
--- Dinner at OAC ---
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