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, September 5, 2022 (9:00 AM) to Friday, September 9, 2022 (4:45 PM)

Monday, September 5, 2022

9:00 AM Registration
Registration
9:00 AM - 10:30 AM

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

11:00 AM Welcome
Welcome
11:00 AM - 11:15 AM
11:15 AM
11:15 AM - 1:00 PM
Contributions

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

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

12:25 PM Spectral Pruning for Neural Network - Lorenzo Giambagli
1:00 PM Lunch
Lunch
1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 3:40 PM
Contributions

2:30 PM A semi-supervised approach to dark matter searches in direct detection data with machine learning - Andre Scaffidi

3:05 PM Two machine learning based methods for field-level inference of cosmological parameters - Moritz Münchmeyer
3:40 PM
3:40 PM - 4:15 PM
Contributions

3:40 PM Recurrent NNs for fast signal discovery in pulsar timing arrays - Marat Freytsis
4:15 PM Coffee break
Coffee break
4:15 PM - 4:45 PM
4:45 PM
4:45 PM - 5:55 PM
Contributions

4:45 PM Using Machine Learning for Physics: The Underlying Mathematical Assumptions - Jeff Byers

5:20 PM Product Jacobi-Theta Boltzmann machines with score matching - Andrea Pasquale
Tuesday, September 6, 2022

10:10 AM Coffee break
Coffee break
10:10 AM - 10:40 AM
10:40 AM
10:40 AM - 1:00 PM
Contributions

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

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

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

12:25 PM Bridge between Classical & Quantum Machine Learning - Jack Araz
1:00 PM Lunch
Lunch
1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 4:15 PM
Contributions

2:30 PM Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms - Luca Graziani

3:05 PM Reconstructing blended galaxies with Machine Learning - Lavanya Nemani

3:40 PM Digging into data cubes with Deep Learning - Giuseppe Longo
4:15 PM Coffee break
Coffee break
4:15 PM - 4:45 PM
4:45 PM
4:45 PM - 5:55 PM
Contributions

4:45 PM Style-based quantum generative adversarial networks for Monte Carlo events - Stefano Carrazza

5:20 PM PDF determination: from NN fitting to posterior sampling - Alessandro Candido
Wednesday, September 7, 2022

10:10 AM Coffee break
Coffee break
10:10 AM - 10:40 AM
10:40 AM
10:40 AM - 1:00 PM
Contributions

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

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

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

12:25 PM Challenges for unsupervised anomaly detection in particle physics - Katherine Fraser
1:00 PM Lunch
Lunch
1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 4:15 PM
Contributions

2:30 PM A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems - Federico Ricci Tersenghi

3:05 PM Quantum associative memory for quantum image recognition - Sreetama Das

3:40 PM Reinforcement Learning for Quantum Technologies - Florian Marquardt
4:15 PM Coffee break
Coffee break
4:15 PM - 4:45 PM
4:45 PM
4:45 PM - 5:20 PM
Contributions

4:45 PM Applying DNN to extract nuclear matter properties from neutron stars - Marcio Ferreira
6:00 PM Visit to Galileo's Villa il Gioiello
Visit to Galileo's Villa il Gioiello
6:00 PM - 8:30 PM
Thursday, September 8, 2022

10:10 AM Coffee break
Coffee break
10:10 AM - 10:40 AM
10:40 AM
10:40 AM - 1:00 PM
Contributions

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

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

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

12:25 PM Optimal compression of the cosmic 21-cm signal - David Prelogovic
1:00 PM Lunch
Lunch
1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 4:15 PM
Contributions

2:30 PM Parametrized classifiers for optimal EFT sensitivity - Giuliano Panico

3:05 PM Towards an optimal global SMEFT fit with machine learning - Jaco Ter Hoeve

3:40 PM Exploring EFT with ML at the LHC - Robert Schöfbeck
4:15 PM Coffee break
Coffee break
4:15 PM - 4:45 PM
4:45 PM
4:45 PM - 5:55 PM
Contributions

4:45 PM PHYSTAT Activities - Louis Lyons

5:20 PM Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models - Manuel Szewc
Friday, September 9, 2022

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

10:40 AM Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond - Uros Seljak
11:15 AM
11:15 AM - 1:00 PM
Contributions

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

11:50 AM Gradient estimators for normalising flows - Piotr Bialas

12:25 PM Machine learning for supersymmetric matrix models - Enrico Rinaldi
1:00 PM Lunch
Lunch
1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 4:15 PM
Contributions

2:30 PM Rapid Exploration of Topological Band Structures Using Deep Learning - Vittorio Peano

3:05 PM Renormalized Mutual Information for Artificial Scientific Discovery - Leopoldo Sarra

3:40 PM Quantum density peak clustering - Lorenzo Buffoni
4:15 PM Coffee break
Coffee break
4:15 PM - 4:45 PM

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