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

20 Nov 2023, 09:00 → 24 Nov 2023, 18:00 Europe/Rome

Aula Renzo Leonardi (ECT*)

Fabrizio Grosa (CERN, Switzerland), Fabrizio Napolitano (INFN - Laboratori Nazionali di Frascati, Italy), Magdalena Skurzok (Jagiellonian University), Raffaele Del Grande (Technical University Munich, Germany)

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In the last two decades, the huge advances of artificial intelligence and machine learning (ML) algorithms have opened  the  door  to  incredible  opportunities  to  the  increased  complexity experiments in physics and medical applications. The use of sophisticated models, once possible only with high commitment of resources and manpower, is now available off the shelf even to smaller groups and individuals. The ALPACA (modern ALgorithms in machine learning and data analysis: from medical Physics to research  with  ACcelerAtors  and  in  underground  laboratories)  workshop aims to bring together researchers from different fields of fundamental and medical physics to share new ideas in development and deployment of algorithms, machine learning (ML) and data analysis techniques. The workshop will cover the physics-cases and the gains obtained with the use of ML, from the boosted  decision  tree and self-organizing maps used  by  the J-PET collaboration in  Kraków, to the generative adversarial networks for event simulation at the LHC, passing to variational autoencoders for underground experiments. Hands-on sessions will also be organized.

                        

Monday 20 November

09:00 → 09:45 Registration

09:45 → 10:00 Welcome Organizers

Downloading the code for Tuesday’s hands-on.pdf

WelcomeALPACA.pdf

10:00 → 10:45 Challenges in modern preclinical and clinical imaging

Speaker: Bartosz Leszczynski (M. Smoluchowski Institute of Physics, Jagiellonian University)

trento2023.pptx

10:45 → 11:15 Analysis of positronium decays by the J-PET detector for the medical and fundamental physics studies

Speaker: Kamil Dulski (LNF)

ALPACA_2023.pdf

ALPACA_2023.pptx

11:15 → 11:30 Investigation of o-Ps Decays for Improving CP Symmetry Test Precision with the J-PET Detector

Speaker: Kavya Valsan Eliyan

ALPACA_Kavya_newNov20.pdf

11:30 → 12:00 Coffee Break

12:00 → 13:00 Machine learning methodologies for single-cell ‘omic data

Speaker: Prof. Guido Sanguinetti

ALPACA_GS.pdf

13:00 → 14:00 Lunch

14:00 → 14:45 Quantum Computing for Machine Learning

Speaker: Sofia Vallecorsa

VALLECORSA.pdf

14:45 → 15:30 Neural networks techniques for parton distribution functions evaluation

Speaker: Andrea Barontini (University of Milan)

NNPDF40_ALPACA_barontini.pdf

15:30 → 16:00 Coffee break

16:00 → 16:45 Deep Learning for Flavor Tagging at ATLAS experiment

Speaker: Andrea Di Luca (FBK)

20231120-ALPACA.pdf

Tuesday 21 November

09:45 → 10:30 ML activities in the ALICE experiment

Speaker: Fabio Catalano (CERN)

ALPACAWorkshop2023_MLinALICE_Catalano_v3.pdf

10:30 → 11:00 The SIDDHARTA-2 Experiment at DAFNE

Speaker: Florin Sirghi (INFN-LNF)

20231117_ALPACA_florin02.pptx

11:00 → 11:30 ML in SIDDHARTA-2: the monitoring challange

Speaker: Simone Manti

2023_11_21_ALPACA_Trento.pdf

2023_11_21_ALPACA_Trento.pptx

11:30 → 12:00 Coffee break

12:00 → 13:00 Toward the end-to-end optimization of detectors for fundamental physics

Speaker: Tommaso Dorigo (INFN Sezione di Padova)

SWGO Optimization Alpaca Nov21 2023 (2).pptx

SWGO Optimization Alpaca Nov21 2023.pptx

13:00 → 14:00 Lunch

14:00 → 15:00 HANDS-ON - Optimization of the SWGO detector: two challenges

Downloading the code for Tuesday’s hands-on.pdf

15:00 → 15:30 Coffee break

15:30 → 16:30 HANDS-ON - Optimization of the SWGO detector: two challenges

Derivative of the likelihood ratio for SWGO optimization.pptx

20:00 → 21:20 Welcome Dinner

Wednesday 22 November

09:45 → 10:30 AI-assisted design of experiments at the frontiers of computation: methods and new perspectives

Speaker: Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))

2023-11-22_AIAssistedDesignAtFrontiersOfComputationAtALPACAWorkshop_vischia.pdf

Slides with animations

10:30 → 11:15 Prominence of data preparation in geomagnetic storm prediction using deep learning

Speaker: Marco Cristoforetti (FBK)

ALPACA_marco_cristoforetti.pdf

11:15 → 11:45 Generative Models for Particle Physics Data

Speaker: William Korcari (University of Hamburg)

WK_ALPACA_Talk.pdf

11:45 → 12:15 Coffee break

12:15 → 12:45 Informed Representation Learning with Deep Generative Models

Speaker: Laura Manduchi

alpaca_workshop (3).pdf

12:45 → 13:15 Loss is more: exploring the network weight space to harvest information on its training dataset

Speaker: Margherita Mele (University of Trento)

Alpaca-Mele.pdf

13:15 → 14:15 Lunch

14:15 → 15:00 Simplify to understand: extracting insight from high-dimensional simulation datasets of biological systems via information-theoretic approaches

Speaker: Roberto Menichetti (Physics Department, University of Trento)

Menichetti_Alpaca_2023_pdf.pdf

15:00 → 15:30 Coffee break

15:30 → 16:15 The ML validation challenge

Speaker: Dr Thomas Spieker (Robert Bosch GmbH)

20231123_ALPACA_MLVerificationChallenge.pdf

16:15 → 17:00 Machine learning and mathematical models: the vaccines of the future

Speaker: Andrea Palladino (GSK)

Palladino-ML-Trento.pdf

Thursday 23 November

09:45 → 10:30 Generative models at the LHC

Speaker: Lucio Anderlini (INFN Firenze)

Generative Models at the LHC.pdf

10:30 → 11:15 Anomaly aware machine learning for dark matter direct detection at DARWIN

Speaker: Andre Scaffidi (SISSA)

ALPACA_Workshop.pdf

11:15 → 11:45 ML applications: from Particle Physics to Medical Imaging

Speaker: Wojciech Krzemien (National Centre for Nuclear Research)

krzemien_trento_v4.pdf

11:45 → 12:15 Coffee break

12:15 → 13:00 Computational Imaging and AI in Medicine

Speaker: Daniel Lang

AlpacaDL.pdf

13:00 → 14:00 Lunch

14:00 → 15:00 Bayesian statistics in Julia

Speaker: Oliver Schulz (MPI for Physics, Munich)

BAT.jl tutorial

oschulz-bat.pdf

15:00 → 15:30 Coffee break

15:30 → 17:30 Hands-on

Speaker: Oliver Schulz (MPI for Physics, Munich)

BAT.jl Tutorial

bat_demo.jl

Julia Course by Oliver Schulz

Julia installation and setup instructions

Julia ML from scratch

SolidStateDetectors.jl Tutorial

symbolic_ml_optimization.jl

20:00 → 21:20 Social Dinner

Friday 24 November

09:15 → 09:45 ML and Differentiable Programming optimisations for X-ray spectroscopy

Speaker: Fabrizio Napolitano (INFN - Laboratori Nazionali di Frascati, Italy)

ALPACA241123.pdf

09:45 → 10:30 Hypernuclear physics with machine learning

Speaker: Takehiko Saito (RIKEN and GSI)

10:30 → 11:15 Photonic spiking neural networks using silicon microring resonators.

Speaker: Alessio Lugnan (University of Trento)

ALPACA_ECT_workshop_24Nov2023.pdf

11:15 → 11:45 Coffee break

11:45 → 12:30 Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis

Speaker: Ilya Auslender (University of Trento)

ALPACA.pptx

12:30 → 12:50 Neural networks for experimental nuclear astrophysics

Speaker: Jakub Skowronski (Universita degli Studi di Padova)

Skowronski_ALPACA.pdf

12:50 → 12:55 Wrap-up and goodbye

12:55 → 13:45 Lunch