Name: Machine Learning at GGI - Conference
Start: 2022-09-05T09:00:00+02:00
End: 2022-09-09T16:45:00+02:00
Location: No location set

Machine Learning at GGI - Conference

from Monday, 5 September 2022 (09:00) to Friday, 9 September 2022 (16:45)

Monday, 5 September 2022

09:00 Registration
Registration
09:00 - 10:30

10:30 Coffee break
Coffee break
10:30 - 11:00

11:00 Welcome
Welcome
11:00 - 11:15
11:15
11:15 - 13:00
Contributions

11:15 Machine Learning and Large Scale Quantum Systems - Eliska Greplova

11:50 Machine Learning for quantum noise discrimination - Stefano Martina

12:25 Spectral Pruning for Neural Network - Lorenzo Giambagli
13:00 Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 15:40
Contributions

14:30 A semi-supervised approach to dark matter searches in direct detection data with machine learning - Andre Scaffidi

15:05 Two machine learning based methods for field-level inference of cosmological parameters - Moritz Münchmeyer
15:40
15:40 - 16:15
Contributions

15:40 Recurrent NNs for fast signal discovery in pulsar timing arrays - Marat Freytsis
16:15 Coffee break
Coffee break
16:15 - 16:45
16:45
16:45 - 17:55
Contributions

16:45 Using Machine Learning for Physics: The Underlying Mathematical Assumptions - Jeff Byers

17:20 Product Jacobi-Theta Boltzmann machines with score matching - Andrea Pasquale
Tuesday, 6 September 2022

10:10 Coffee break
Coffee break
10:10 - 10:40
10:40
10:40 - 13:00
Contributions

10:40 Quantum Computing & Quantum Machine Learning - Filippo Caruso

11:15 Algorithmic exploitation of the energy landscape in non-convex neural networks - Riccardo Zecchina

11:50 Coarse-graining for classical and quantum systems - Cecilia Clementi

12:25 Bridge between Classical & Quantum Machine Learning - Jack Araz
13:00 Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 16:15
Contributions

14:30 Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms - Luca Graziani

15:05 Reconstructing blended galaxies with Machine Learning - Lavanya Nemani

15:40 Digging into data cubes with Deep Learning - Giuseppe Longo
16:15 Coffee break
Coffee break
16:15 - 16:45
16:45
16:45 - 17:55
Contributions

16:45 Style-based quantum generative adversarial networks for Monte Carlo events - Stefano Carrazza

17:20 PDF determination: from NN fitting to posterior sampling - Alessandro Candido
Wednesday, 7 September 2022

10:10 Coffee break
Coffee break
10:10 - 10:40
10:40
10:40 - 13:00
Contributions

10:40 The LHC Physics case - Marco Zanetti (Istituto Nazionale di Fisica Nucleare) Marco Zanetti (CERN)

11:15 Learning New Physics from a Machine - Gaia Grosso

11:50 Efficient nonparametric methods for statistical anomaly detection - Marco Letizia

12:25 Challenges for unsupervised anomaly detection in particle physics - Katherine Fraser
13:00 Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 16:15
Contributions

14:30 A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems - Federico Ricci Tersenghi

15:05 Quantum associative memory for quantum image recognition - Sreetama Das

15:40 Reinforcement Learning for Quantum Technologies - Florian Marquardt
16:15 Coffee break
Coffee break
16:15 - 16:45
16:45
16:45 - 17:20
Contributions

16:45 Applying DNN to extract nuclear matter properties from neutron stars - Marcio Ferreira
18:00 Visit to Galileo's Villa il Gioiello
Visit to Galileo's Villa il Gioiello
18:00 - 20:30
Thursday, 8 September 2022

10:10 Coffee break
Coffee break
10:10 - 10:40
10:40
10:40 - 13:00
Contributions

10:40 NCPA mitigation using PCA and Neural Network - Alessandro Terreri

11:15 Accelerating cosmological inference with Deep Learning - Marco Bonici

11:50 Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web - Farida Farsian

12:25 Optimal compression of the cosmic 21-cm signal - David Prelogovic
13:00 Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 16:15
Contributions

14:30 Parametrized classifiers for optimal EFT sensitivity - Giuliano Panico

15:05 Towards an optimal global SMEFT fit with machine learning - Jaco Ter Hoeve

15:40 Exploring EFT with ML at the LHC - Robert Schöfbeck
16:15 Coffee break
Coffee break
16:15 - 16:45
16:45
16:45 - 17:55
Contributions

16:45 PHYSTAT Activities - Louis Lyons

17:20 Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models - Manuel Szewc
Friday, 9 September 2022

10:10 Coffee break
Coffee break
10:10 - 10:40
10:40
10:40 - 11:15
Contributions

10:40 Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond - Uros Seljak
11:15
11:15 - 13:00
Contributions

11:15 Particle Cloud Generation with Message Passing GANs - Raghav Kansal

11:50 Gradient estimators for normalising flows - Piotr Bialas

12:25 Machine learning for supersymmetric matrix models - Enrico Rinaldi
13:00 Lunch
Lunch
13:00 - 14:30
14:30
14:30 - 16:15
Contributions

14:30 Rapid Exploration of Topological Band Structures Using Deep Learning - Vittorio Peano

15:05 Renormalized Mutual Information for Artificial Scientific Discovery - Leopoldo Sarra

15:40 Quantum density peak clustering - Lorenzo Buffoni
16:15 Coffee break
Coffee break
16:15 - 16:45

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