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

Contribution List

1. Registration

20/11/2023, 09:00

2. Welcome Organizers

20/11/2023, 09:45

9. Challenges in modern preclinical and clinical imaging

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

20/11/2023, 10:00

5. Analysis of positronium decays by the J-PET detector for the medical and fundamental physics studies

Kamil Dulski (LNF)

20/11/2023, 10:45

6. Investigation of o-Ps Decays for Improving CP Symmetry Test Precision with the J-PET Detector

Kavya Valsan Eliyan

20/11/2023, 11:15

3. Coffee Break

20/11/2023, 11:30

7. Machine learning methodologies for single-cell ‘omic data

Prof. Guido Sanguinetti

20/11/2023, 12:00

8. Quantum Computing for Machine Learning

Sofia Vallecorsa

20/11/2023, 14:00

28. Neural networks techniques for parton distribution functions evaluation

Andrea Barontini (University of Milan)

20/11/2023, 14:45

10. Deep Learning for Flavor Tagging at ATLAS experiment

Andrea Di Luca (FBK)

20/11/2023, 16:00

11. ML activities in the ALICE experiment

Fabio Catalano (CERN)

21/11/2023, 09:45

12. The SIDDHARTA-2 Experiment at DAFNE

Florin Sirghi (INFN-LNF)

21/11/2023, 10:30

13. ML in SIDDHARTA-2: the monitoring challange

Simone Manti

21/11/2023, 11:00

15. Toward the end-to-end optimization of detectors for fundamental physics

Tommaso Dorigo (INFN Sezione di Padova)

21/11/2023, 12:00

16. HANDS-ON - Optimization of the SWGO detector: two challenges

21/11/2023, 14:00

17. HANDS-ON - Optimization of the SWGO detector: two challenges

21/11/2023, 15:30

18. 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))

22/11/2023, 09:45

19. Prominence of data preparation in geomagnetic storm prediction using deep learning

Marco Cristoforetti (FBK)

22/11/2023, 10:30

20. Generative Models for Particle Physics Data

William Korcari (University of Hamburg)

22/11/2023, 11:15

21. Informed Representation Learning with Deep Generative Models

Laura Manduchi

22/11/2023, 12:15

22. Loss is more: exploring the network weight space to harvest information on its training dataset

Margherita Mele (University of Trento)

22/11/2023, 12:45

23. Simplify to understand: extracting insight from high-dimensional simulation datasets of biological systems via information-theoretic approaches

Roberto Menichetti (Physics Department, University of Trento)

22/11/2023, 14:15

25. The ML validation challenge

Dr Thomas Spieker (Robert Bosch GmbH)

22/11/2023, 15:30

24. Machine learning and mathematical models: the vaccines of the future

Andrea Palladino (GSK)

22/11/2023, 16:15

26. Generative models at the LHC

Lucio Anderlini (INFN Firenze)

23/11/2023, 09:45

27. Anomaly aware machine learning for dark matter direct detection at DARWIN

Andre Scaffidi (SISSA)

23/11/2023, 10:30

4. ML applications: from Particle Physics to Medical Imaging

Wojciech Krzemien (National Centre for Nuclear Research)

23/11/2023, 11:15

29. Computational Imaging and AI in Medicine

Daniel Lang

23/11/2023, 12:15

30. Bayesian statistics in Julia

Oliver Schulz (MPI for Physics, Munich)

23/11/2023, 14:00

31. Hands-on

Oliver Schulz (MPI for Physics, Munich)

23/11/2023, 15:30

35. ML and Differentiable Programming optimisations for X-ray spectroscopy

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

24/11/2023, 09:15

32. Hypernuclear physics with machine learning

Takehiko Saito (RIKEN and GSI)

24/11/2023, 09:45

33. Photonic spiking neural networks using silicon microring resonators.

Alessio Lugnan (University of Trento)

24/11/2023, 10:30

34. Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis

Ilya Auslender (University of Trento)

24/11/2023, 11:45

36. Neural networks for experimental nuclear astrophysics

Jakub Skowronski (Universita degli Studi di Padova)

24/11/2023, 12:30

37. Wrap-up and goodbye

24/11/2023, 12:50

14. Welcome from the ECT* Director