13:00
|
--- Lunch at OAC ---
|
14:00
|
Free time
(until 15:30)
()
|
15:30
|
--- Coffee break ---
|
15:50
|
Applications in Muon Tomography
-
Maxime Lagrange
(CP3 Universite Catholique de Louvain)
(until 16:40)
()
|
15:50
|
Deep neural networks applied to muon tomography scattering angular distributions
-
Carlos Diez
(Muon Tomography Systems S.L.)
()
|
16:10
|
--- Discussion ---
|
16:15
|
Ultra-fast muon tomography simulations using Adversarial Neural Networks
-
Pablo Martinez Ruiz Del Arbol
(Universidad de Cantabria and CSIC (ES))
()
|
16:35
|
--- Discussion ---
|
16:40
|
Progress in Computer Science
-
Nicolas Gauger
(Technische Universität Kaiserslautern)
(until 17:55)
()
|
16:40
|
Automatic Differentiation in ROOT
-
Garima Singh
(Princeton University (US))
()
|
17:00
|
--- Discussion ---
|
17:05
|
Differentiable Programming and the IRIS-HEP Analysis Grand Challenge
-
Gordon Watts
(University of Washington (US))
()
|
17:25
|
--- Discussion ---
|
17:30
|
Speeding up differentiable programming with a Computer Algebra System
- Mr
Remco de Boer
(Ruhr University Bochum)
()
|
17:50
|
--- Discussion ---
|
17:55
|
--- Break with no coffee ---
|
18:10
|
Applications in Nuclear Physics
-
Shahid Khan
(University of Tuebingen)
(until 19:00)
()
|
18:10
|
Adaptive Experimentation to assist the detector design of the future Electron Ion Collider
-
Cristiano Fanelli
(William & Mary)
()
|
18:30
|
--- Discussion ---
|
18:35
|
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)
()
|
18:55
|
--- Discussion ---
|
19:00
|
Wine Tasting and Poster Session
(until 20:00)
()
|
19:00
|
(Poster) Muon identification and gamma/hadron discrimination using compact single-layered water Cherenkov detectors powered by Machine Learning techniques
-
BS González
(LIP/IST)
()
|
19:00
|
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)
()
|
19:00
|
Differentiable Preisach Modeling for Characterization and Optimization of Particle Accelerator Systems with Hysteresis
-
Ryan Roussel
()
|
19:00
|
Muon momentum measurement in Muon Scattering Tomography
- Mr
Maxime Lagrange
(CP3 Universite Catholique de Louvain)
()
|
19:05
|
A flexible and efficient machine learning approach for data quality monitoring
- Dr
Marco Letizia
()
|
19:10
|
Automatic Optimization of Derivatives with Polyhedral Compiler
-
Alexander Demin
(Max Planck Institute for Informatics)
()
|
19:10
|
Concept of measuring (Multi-)Strange Hadron Yields in the CBM Experiment using Machine Learning Techniques
-
Axel Puntke
(WWU Münster)
()
|
19:10
|
Reconstruction techniques for nuclear reactions measured with ACtive TARget TPC
-
Lorenzo Domenichetti
(INFN LNL, University of Padua)
()
|
20:00
|
--- Dinner at OAC ---
|