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The Institute of Theoretical Physics

AI goes MAD²

Program

 

The topics of the workshop include all aspects of machine learning and artificial intelligence, as related (but not limited) to particle and astroparticle physics, cosmology, gravity and strings, lattice QCD, quantum info and high-performance computing.

 

The list of accepted abstracts can be seen here (to be continuously updated). More information and a detailed program is given below.

 

The workshop will take place in the Blue Room of the IFT.

Day 1: Monday October 14th, 2024

Schedule Speaker Title Slides
10:00 - 11:00 Savannah J. Thais
From Neural Networks to Foundation Models: The Evolving Role of AI in Particle Physics

pdf

11:00 - 11:30                                       Coffee Break
11:30 - 12:00 Riccardo Torre Generative models: their evaluation and their limitations pdf
12:00 - 12:30 Manuel Morales-Alvarado Symbolic regression for precision LHC physics pdf
12:30 - 14:30                                   Lunch
14:30 - 15:00 Daniel Hernández Lobato Parallel predictive entropy search for multi-objective Bayesian optimization with constraints

pdf

15:00 - 15:30 Indira Ocampo Justiniano Enhancing Cosmological Model Selection with Interpretable Machine Learning pdf
15:30 - 16:00                                       Coffee Break
16:00 - 16:30 Borja Varona Uriarte Automatic Detection of Nuclear Spins at Arbitrary Magnetic Fields via Signal-to-Image AI Model pdf
16:30 - 17:30 Andrea Wulzer  Goodness of fit by Neyman-Pearson testing: NPLM pdf
18:00 - 20:00                                     Reception at the IFT

Day 2: Tuesday October 15th, 2024

Schedule Speaker Title Slides
10:00 - 11:00 Cecilia Garraffo      The AI Discovery Revolution in Astronomy

pdf

11:00 - 11:30                                       Coffee Break
11:30 - 12:00 Atsushi Nishizawa Image based analysis of the large-scale structure of the Universe pdf
12:00 - 12:30 Andrius Tamosiunas In Search of Evidence of Cosmic Topology Using Machine Learning pdf
12:30 - 14:30                                   Lunch
14:30 - 15:00 Julia Vazquez Escobar Estimation of Machine Learning model uncertainty in particle physics event classifiers

pdf

15:00 - 15:30 Alexander Cerviño Cortinez Deep-learning techniques in ground-based imaging gamma-ray observatories and the CTLearn package pdf
15:30 - 16:00                                       Coffee Break
16:00 - 16:30 Jorge Prado González An Overview into Machine Learning Techniques in KM3NeT pdf
16:30 - 17:00 Iván Mozún Mateo Small thinks big: transfer learning in KM3NeT/ORCA for neutrino event reconstruction pdf
17:00- 18:00 Carolina Cuesta-Lazaro Cosmology's Midlife Crisis: Embracing the Machine Learning Makeover slides
20:30 - 22:00                                     Workshop dinner

Day 3: Wednesday October 16th, 2024

Schedule Speaker Title Slides
10:00 - 11:00 Mario Krenn Towards an artificial muse for new ideas in Science

pdf

11:00 - 11:30                                       Coffee Break
11:30 - 12:00 Xi Chen Advancing Quantum Control and Information Retrieval with Machine Learning Techniques pdf
12:00 - 12:30 Yue Ban Neural-network-assisted parameter estimation for quantum detection pdf
12:30 - 14:30                                   Lunch
14:30 - 15:00 Miguel Cárdenas Montes Illuminating Neural Networks: A Cycle of Explainable AI for Gravitational Waves

pdf

15:00 - 15:30 Marienza Caldarola Astrometric constraints on stochastic gravitational wave background with neural networks pdf
15:30 - 16:00                                       Coffee Break
16:00 - 16:30 Daniel de Andrés Hernández Artificial intelligence applications in The Three Hundred Simulation project pdf
16:30 - 17:00   Closing discussion and future prospects  
17:00                                               End of the workshop  

 


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