Physics in the AI era
from
Tuesday, 24 September 2024 (08:00)
to
Friday, 27 September 2024 (19:30)
Monday, 23 September 2024
Tuesday, 24 September 2024
16:30
Registration, welcome drink
Registration, welcome drink
16:30 - 19:00
Room: Aula Galilei
Wednesday, 25 September 2024
09:00
09:00 - 10:30
Room: Sala Stemmi
Contributions
09:00
Cosmology from the first billion years as seen with the 21cm line
-
Andrei Mesinger
(
Scuola Normale Superiore
)
09:40
Machine Learning for Astrophysics & Cosmology
-
Caroline Heneka
(
University of Heidelberg
)
10:05
Machine Learning of the Cosmic 21-cm Signal
-
David Prelogovic
10:30
Coffee break
Coffee break
10:30 - 11:20
Room: Palazzo Carovana
Poster Session
Poster Session
10:30 - 11:20
Room: Palazzo Carovana
11:20
11:20 - 12:15
Room: Sala Stemmi
Contributions
11:20
Generative models for large-scale structures
-
Kana Moriwaki
(
University of Tokyo
)
11:45
Machine learning based inference of high redshift observations.
-
Hovav Lazare
(
Ben Gurion University
)
12:00
Evaluating Summary Statistics with Mutual Information for Cosmological Inference
-
Ce Sui
12:15
Discussion - AI in 21-cm Cosmology
Discussion - AI in 21-cm Cosmology
12:15 - 13:00
Room: Sala Stemmi
13:00
Lunch break
Lunch break
13:00 - 14:30
14:30
14:30 - 16:00
Room: Sala Stemmi
Contributions
14:30
Machine learning in astrophysics
-
Tobias Buck
(
University of Heidelberg
)
15:10
Solving inverse problems with diffusion models
-
Alexandre Adam
(
University of Montreal
)
15:35
Dusting off the Cosmic Microwave Background with Diffusion Models
-
Bruno Régaldo-Saint Blancard
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: Palazzo Carovana
Poster Session
Poster Session
16:00 - 16:30
Room: Palazzo Carovana
16:30
16:30 - 17:15
Room: Sala Stemmi
Contributions
16:30
Analysing edge-on galaxies with deep learning
-
Žofia Chrobáková
(
Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK
)
16:45
Emulating the Interstellar Medium Chemistry with Neural Operators
-
Lorenzo Branca
(
Interdisziplinares Zentrum fur¨ Wissenschaftliches Rechnen, Universitat¨ Heidelberg
)
17:00
Neural Network Approaches for Quasar and Galaxy Continuum Estimation: A Comparative Study of Autoencoder and U-Net Architectures
-
Francesco Pistis
(
Università degli studi Milano-Bicocca
)
17:15
Discussion - AI in Astrophysics
Discussion - AI in Astrophysics
17:15 - 18:00
Room: Sala Stemmi
Thursday, 26 September 2024
09:00
09:00 - 10:20
Room: Aula Gerace, building C, second floor
Contributions
09:00
Statistical Learning for Statistical Inference
-
Andrea Wulzer
(
ICREA and IFAE, Barcellona
)
09:40
Modern ML in LHC Physics
-
Tilman Plehn
(
Heidelberg University
)
10:20
Coffee break
Coffee break
10:20 - 10:50
10:50
10:50 - 12:10
Room: Aula Gerace, building C, second floor
Contributions
10:50
Machine Learning and precision high energy physics
-
Stefano Forte
(
Milan University
)
11:30
Towards Robust AI in HEP
-
Samuel Bright-Thonney
(
IAIFI Cambridge
)
12:10
Lunch break
Lunch break
12:10 - 14:00
14:00
14:00 - 16:00
Room: Sala Stemmi
Contributions
14:00
Econophysics, why and what for?
-
Michael Benzaquen
(
École Polytechnique & Capital Fund Management (CFM)
)
15:00
Economic Complexity
-
Andrea Tacchella
(
Centro Ricerche Enrico Fermi (CREF)
)
15:20
Multi-Scale Node Embedding and Network Reconstruction: A Comparative Analysis with the Single-Scale Literature
-
Riccardo Milocco
(
IMT Lucca, ING Bank, Leiden University
)
15:40
Spectral signature of structural changes in financial networks
-
Valentina Macchiati
(
Scuola Normale Superiorr
)
16:00
Coffee break
Coffee break
16:00 - 16:30
16:30
16:30 - 18:50
Room: Sala Stemmi
Contributions
16:30
Quantum machine learning for physics
-
Giacomo De Palma
17:30
Quantum Neural Networks: An overview and some recent results
-
Davide Pastorello
(
Università di Bologna
)
18:30
Role of data-embedding in equivariant quantum neural networks
-
Sreetama Das
(
Università di Firenze
)
Friday, 27 September 2024
09:00
09:00 - 11:00
Room: Aula Dini
Contributions
09:00
Plenary talk
-
Fosca Giannotti
10:00
Conterfactuals Generation in Network Science, Econometrics and Explainable AI
-
Marzio Di Vece
(
SNS
)
10:20
Potential Outcomes for Evaluating Human AI-Teams
-
Andrea Pugnana
(
Pisa University
)
10:40
Causal inference over time
-
Isacco Beretta
(
Pisa University
)
11:00
Coffee break
Coffee break
11:00 - 11:30
11:30
11:30 - 12:30
Room: Aula Dini
Contributions
11:30
Feature Learning and Generalization in Deep Networks with Orthogonal Weights
-
Hannah Day
(
University of Illinois Urbana-Champaign
)
11:50
AI and jobs: mapping forward-looking AI exposure metrics into occupational networks
-
Enrico Maria Fenoaltea
(
Centro ricerche Enrico Fermi (CREF)
)
12:10
Interpretable Neural-Symbolic Concept Reasoning
-
Francesco Giannini
(
Scuola Normale Superiore
)
12:30
Lunch break
Lunch break
12:30 - 14:00
14:00
14:00 - 16:00
Room: Aula Gerace, building C, second floor
Contributions
14:00
Generative Models in Particle Physics
-
Claudius Krause
14:40
Modeling Low-Density Nuclear Matter with Neural-Network Quantum States
-
Bryce Fore
(
Argonne National Lab
)
15:20
CMS FlashSim: end-to-end simulation with ML
-
Filippo Cattafesta
(
Scuola Normale Superiore & INFN Pisa
)
16:00
Closing aperitif
Closing aperitif
16:00 - 18:00