Name: Physics in the AI era
Start: 2024-09-24T08:00:00+02:00
End: 2024-09-27T19:30:00+02:00
Location: University of Pisa

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

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