Name: ALPACA: modern algorithms in machine learning and data analysis: from medical physics to research with accelerators and in underground laboratories
Start: 2023-11-20T09:00:00+01:00
End: 2023-11-24T18:00:00+01:00
Location: ECT*

ALPACA: modern algorithms in machine learning and data analysis: from medical physics to research with accelerators and in underground laboratories

from Monday 20 November 2023 (09:00) to Friday 24 November 2023 (18:00)

Monday 20 November 2023

09:00 Registration
Registration
09:00 - 09:45
Room: Aula Renzo Leonardi

09:45 Welcome Organizers
Welcome Organizers
09:45 - 10:00
Room: Aula Renzo Leonardi
10:00 Challenges in modern preclinical and clinical imaging - Bartosz Leszczynski (M. Smoluchowski Institute of Physics, Jagiellonian University)
Challenges in modern preclinical and clinical imaging
- Bartosz Leszczynski (M. Smoluchowski Institute of Physics, Jagiellonian University)
10:00 - 10:45
Room: Aula Renzo Leonardi
10:45 Analysis of positronium decays by the J-PET detector for the medical and fundamental physics studies - Kamil Dulski (LNF)
Analysis of positronium decays by the J-PET detector for the medical and fundamental physics studies
- Kamil Dulski (LNF)
10:45 - 11:15
Room: Aula Renzo Leonardi
11:15 Investigation of o-Ps Decays for Improving CP Symmetry Test Precision with the J-PET Detector - Kavya Valsan Eliyan
Investigation of o-Ps Decays for Improving CP Symmetry Test Precision with the J-PET Detector
- Kavya Valsan Eliyan
11:15 - 11:30
Room: Aula Renzo Leonardi
11:30 Coffee Break
Coffee Break
11:30 - 12:00
Room: Aula Renzo Leonardi
12:00 Machine learning methodologies for single-cell ‘omic data - Guido Sanguinetti
Machine learning methodologies for single-cell ‘omic data
- Guido Sanguinetti
12:00 - 13:00
Room: Aula Renzo Leonardi
13:00 Lunch
Lunch
13:00 - 14:00
Room: Aula Renzo Leonardi
14:00 Quantum Computing for Machine Learning - Sofia Vallecorsa
Quantum Computing for Machine Learning
- Sofia Vallecorsa
14:00 - 14:45
Room: Aula Renzo Leonardi
14:45 Neural networks techniques for parton distribution functions evaluation - Andrea Barontini (University of Milan)
Neural networks techniques for parton distribution functions evaluation
- Andrea Barontini (University of Milan)
14:45 - 15:30
Room: Aula Renzo Leonardi
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: Aula Renzo Leonardi
16:00 Deep Learning for Flavor Tagging at ATLAS experiment - Andrea Di Luca (FBK)
Deep Learning for Flavor Tagging at ATLAS experiment
- Andrea Di Luca (FBK)
16:00 - 16:45
Room: Aula Renzo Leonardi
Tuesday 21 November 2023
09:45 ML activities in the ALICE experiment - Fabio Catalano (CERN)
ML activities in the ALICE experiment
- Fabio Catalano (CERN)
09:45 - 10:30
Room: Aula Renzo Leonardi
10:30 The SIDDHARTA-2 Experiment at DAFNE - Florin Sirghi (INFN-LNF)
The SIDDHARTA-2 Experiment at DAFNE
- Florin Sirghi (INFN-LNF)
10:30 - 11:00
Room: Aula Renzo Leonardi
11:00 ML in SIDDHARTA-2: the monitoring challange - Simone Manti
ML in SIDDHARTA-2: the monitoring challange
- Simone Manti
11:00 - 11:30
Room: Aula Renzo Leonardi
11:30 Coffee break
Coffee break
11:30 - 12:00
Room: Aula Renzo Leonardi
12:00 Toward the end-to-end optimization of detectors for fundamental physics - Tommaso Dorigo (INFN Sezione di Padova)
Toward the end-to-end optimization of detectors for fundamental physics
- Tommaso Dorigo (INFN Sezione di Padova)
12:00 - 13:00
Room: Aula Renzo Leonardi
13:00 Lunch
Lunch
13:00 - 14:00
Room: Aula Renzo Leonardi

14:00 HANDS-ON - Optimization of the SWGO detector: two challenges
HANDS-ON - Optimization of the SWGO detector: two challenges
14:00 - 15:00
Room: Aula Renzo Leonardi

15:00 Coffee break
Coffee break
15:00 - 15:30
Room: Aula Renzo Leonardi

15:30 HANDS-ON - Optimization of the SWGO detector: two challenges
HANDS-ON - Optimization of the SWGO detector: two challenges
15:30 - 16:30
Room: Aula Renzo Leonardi

20:00 Welcome Dinner
Welcome Dinner
20:00 - 21:20
Room: Aula Renzo Leonardi
Wednesday 22 November 2023
09:45 AI-assisted design of experiments at the frontiers of computation: methods and new perspectives - Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives
- Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
09:45 - 10:30
Room: Aula Renzo Leonardi
10:30 Prominence of data preparation in geomagnetic storm prediction using deep learning - Marco Cristoforetti (FBK)
Prominence of data preparation in geomagnetic storm prediction using deep learning
- Marco Cristoforetti (FBK)
10:30 - 11:15
Room: Aula Renzo Leonardi
11:15 Generative Models for Particle Physics Data - William Korcari (University of Hamburg)
Generative Models for Particle Physics Data
- William Korcari (University of Hamburg)
11:15 - 11:45
Room: Aula Renzo Leonardi
11:45 Coffee break
Coffee break
11:45 - 12:15
Room: Aula Renzo Leonardi
12:15 Informed Representation Learning with Deep Generative Models - Laura Manduchi
Informed Representation Learning with Deep Generative Models
- Laura Manduchi
12:15 - 12:45
Room: Aula Renzo Leonardi
12:45 Loss is more: exploring the network weight space to harvest information on its training dataset - Margherita Mele (University of Trento)
Loss is more: exploring the network weight space to harvest information on its training dataset
- Margherita Mele (University of Trento)
12:45 - 13:15
Room: Aula Renzo Leonardi
13:15 Lunch
Lunch
13:15 - 14:15
Room: Aula Renzo Leonardi
14:15 Simplify to understand: extracting insight from high-dimensional simulation datasets of biological systems via information-theoretic approaches - Roberto Menichetti (Physics Department, University of Trento)
Simplify to understand: extracting insight from high-dimensional simulation datasets of biological systems via information-theoretic approaches
- Roberto Menichetti (Physics Department, University of Trento)
14:15 - 15:00
Room: Aula Renzo Leonardi
15:00 Coffee break
Coffee break
15:00 - 15:30
Room: Aula Renzo Leonardi
15:30 The ML validation challenge - Thomas Spieker (Robert Bosch GmbH)
The ML validation challenge
- Thomas Spieker (Robert Bosch GmbH)
15:30 - 16:15
Room: Aula Renzo Leonardi
16:15 Machine learning and mathematical models: the vaccines of the future - Andrea Palladino (GSK)
Machine learning and mathematical models: the vaccines of the future
- Andrea Palladino (GSK)
16:15 - 17:00
Room: Aula Renzo Leonardi
Thursday 23 November 2023
09:45 Generative models at the LHC - Lucio Anderlini (INFN Firenze)
Generative models at the LHC
- Lucio Anderlini (INFN Firenze)
09:45 - 10:30
Room: Aula Renzo Leonardi
10:30 Anomaly aware machine learning for dark matter direct detection at DARWIN - Andre Scaffidi (SISSA)
Anomaly aware machine learning for dark matter direct detection at DARWIN
- Andre Scaffidi (SISSA)
10:30 - 11:15
Room: Aula Renzo Leonardi
11:15 ML applications: from Particle Physics to Medical Imaging - Wojciech Krzemien (National Centre for Nuclear Research)
ML applications: from Particle Physics to Medical Imaging
- Wojciech Krzemien (National Centre for Nuclear Research)
11:15 - 11:45
Room: Aula Renzo Leonardi
11:45 Coffee break
Coffee break
11:45 - 12:15
Room: Aula Renzo Leonardi
12:15 Computational Imaging and AI in Medicine - Daniel Lang
Computational Imaging and AI in Medicine
- Daniel Lang
12:15 - 13:00
Room: Aula Renzo Leonardi
13:00 Lunch
Lunch
13:00 - 14:00
Room: Aula Renzo Leonardi
14:00 Bayesian statistics in Julia - Oliver Schulz (MPI for Physics, Munich)
Bayesian statistics in Julia
- Oliver Schulz (MPI for Physics, Munich)
14:00 - 15:00
Room: Aula Renzo Leonardi
15:00 Coffee break
Coffee break
15:00 - 15:30
Room: Aula Renzo Leonardi
15:30 Hands-on - Oliver Schulz (MPI for Physics, Munich)
Hands-on
- Oliver Schulz (MPI for Physics, Munich)
15:30 - 17:30
Room: Aula Renzo Leonardi
20:00 Social Dinner
Social Dinner
20:00 - 21:20
Room: Aula Renzo Leonardi
Friday 24 November 2023
09:15 ML and Differentiable Programming optimisations for X-ray spectroscopy - Fabrizio Napolitano (INFN - Laboratori Nazionali di Frascati, Italy)
ML and Differentiable Programming optimisations for X-ray spectroscopy
- Fabrizio Napolitano (INFN - Laboratori Nazionali di Frascati, Italy)
09:15 - 09:45
Room: Aula Renzo Leonardi
09:45 Hypernuclear physics with machine learning - Takehiko Saito (RIKEN and GSI)
Hypernuclear physics with machine learning
- Takehiko Saito (RIKEN and GSI)
09:45 - 10:30
Room: Aula Renzo Leonardi
10:30 Photonic spiking neural networks using silicon microring resonators. - Alessio Lugnan (University of Trento)
Photonic spiking neural networks using silicon microring resonators.
- Alessio Lugnan (University of Trento)
10:30 - 11:15
Room: Aula Renzo Leonardi
11:15 Coffee break
Coffee break
11:15 - 11:45
Room: Aula Renzo Leonardi
11:45 Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis - Ilya Auslender (University of Trento)
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis
- Ilya Auslender (University of Trento)
11:45 - 12:30
Room: Aula Renzo Leonardi
12:30 Neural networks for experimental nuclear astrophysics - Jakub Skowronski (Universita degli Studi di Padova)
Neural networks for experimental nuclear astrophysics
- Jakub Skowronski (Universita degli Studi di Padova)
12:30 - 12:50
Room: Aula Renzo Leonardi
12:50 Wrap-up and goodbye
Wrap-up and goodbye
12:50 - 12:55
Room: Aula Renzo Leonardi

12:55 Lunch
Lunch
12:55 - 13:45
Room: Aula Renzo Leonardi

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