Logo

Event at Galileo Galilei Institute


Conference

Machine Learning at GGI

This event can be attended either in presence or on line
Sep 05, 2022 - Sep 09, 2022



Organizers
Massimo Brescia (INAF Napoli)
Filippo Caruso (U. Firenze)
S. George Djorgovski (Caltech)
Duccio Fanelli (U. Firenze)
Alessandro Marconi (U. Firenze)
Florian Marquardt (Max Planck Erlangen)
Giuliano Panico (U. Firenze)
Jesse Thaler (MIT)
Andrea Wulzer (CERN & U. Padova)


Local organizer
Giuliano Panico (U. Firenze)

Contact
giuliano.panico@unifi.it

Website
https://agenda.infn.it/event/32052

Main event
Machine Learning at GGI (Workshop) - Aug 22, 2022




Talks
Date Speaker Title Type Useful Links
Sep 05, 2022 - 11:15-11:45 Eliska Greplova Machine Learning and Large Scale Quantum Systems Talk Video
Sep 05, 2022 - 11:50-12:20 Stefano Martina Machine Learning for quantum noise discrimination Talk Video
Sep 05, 2022 - 12:25-12:55 Lorenzo Giambagli Spectral Pruning for Neural Network Talk Video
Sep 05, 2022 - 14:30-15:00 Andre Scaffidi A semi-supervised approach to dark matter searches in direct detection data with machine learning Talk Video
Sep 05, 2022 - 15:05-15:35 Moritz Münchmeyer Two machine learning based methods for field-level inference of cosmological parameters Talk Video
Sep 05, 2022 - 15:40-16:10 Marat Freytsis Recurrent NNs for fast signal discovery in pulsar timing arrays Talk Video
Sep 05, 2022 - 16:45-17:15 Jeff Byers Using Machine Learning for Physics: The Underlying Mathematical Assumptions Talk Video
Sep 05, 2022 - 17:20-17:50 Andrea Pasquale Product Jacobi-Theta Boltzmann machines with score matching Talk Video
Sep 06, 2022 - 10:40-11:10 Filippo Caruso Quantum Computing & Quantum Machine Learning Talk Video
Sep 06, 2022 - 11:15-11:45 Riccardo Zecchina Algorithmic exploitation of the energy landscape in non-convex neural networks Talk Video
Sep 06, 2022 - 11:50-12:20 Cecilia Clementi Coarse-graining for classical and quantum systems Talk Video
Sep 06, 2022 - 12:25-12:55 Jack Araz Bridge between Classical & Quantum Machine Learning Talk Video
Sep 06, 2022 - 14:30-15:00 Luca Graziani Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms Talk Video
Sep 06, 2022 - 15:05-15:35 Lavanya Nemani Reconstructing blended galaxies with Machine Learning Talk Video
Sep 06, 2022 - 15:40-16:10 Giuseppe Longo Digging into data cubes with Deep Learning Talk Video
Sep 06, 2022 - 16:45-17:15 Stefano Carrazza Style-based quantum generative adversarial networks for Monte Carlo events Talk Video
Sep 06, 2022 - 17:20-17:50 Alessandro Candido PDF determination: from NN fitting to posterior sampling Talk Video
Sep 07, 2022 - 10:40-11:10 Marco Zanetti The LHC Physics case Talk Video
Sep 07, 2022 - 11:15-11:45 Gaia Grosso Learning New Physics from a Machine Talk Video
Sep 07, 2022 - 11:50-12:20 Marco Letizia Efficient nonparametric methods for statistical anomaly detection Talk Video
Sep 07, 2022 - 12:25-12:55 Katherine Fraser Challenges for unsupervised anomaly detection in particle physics Talk Video
Sep 07, 2022 - 14:30-15:00 Federico Ricci Tersenghi A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems Talk Video
Sep 07, 2022 - 15:05-15:35 Sreetama Das Quantum associative memory for quantum image recognition Talk Video
Sep 07, 2022 - 15:40-16:10 Florian Marquardt Reinforcement Learning for Quantum Technologies Talk Video
Sep 08, 2022 - 10:40-11:10 Alessandro Terrieri NCPA mitigation using PCA and Neural Network Talk Video
Sep 08, 2022 - 11:15-11:45 Marco Bonici Accelerating cosmological inference with Deep Learning Talk
Sep 08, 2022 - 11:50-12:20 Farida Farsian Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web Talk Video
Sep 08, 2022 - 12:25-12:55 David Prelogovic Optimal compression of the cosmic 21-cm signal Talk Video
Sep 08, 2022 - 14:30-15:00 Giuliano Panico Parametrized classifiers for optimal EFT sensitivity Talk Video
Sep 08, 2022 - 15:05-15:35 Robert Schöfbeck Exploring EFT with ML at the LHC Talk
Sep 08, 2022 - 15:40-16:10 Louis Lyons PHYSTAT Activities Talk Video
Sep 08, 2022 - 16:45-17:15 Jaco Ter Hoeve Towards an optimal global SMEFT fit with machine learning Talk Video
Sep 08, 2022 - 17:20-17:50 Manuel Szewc Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models Talk
Sep 09, 2022 - 10:40-11:10 Uros Seljak Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond Talk
Sep 09, 2022 - 11:15-11:45 Raghav Kansal Particle Cloud Generation with Message Passing GANs Talk
Sep 09, 2022 - 11:50-12:20 Piotr Bialas Gradient estimators for normalising flows Talk
Sep 09, 2022 - 12:25-12:55 Enrico Rinaldi Machine learning for supersymmetric matrix models Talk
Sep 09, 2022 - 14:30-15:00 Vittorio Peano Rapid Exploration of Topological Band Structures Using Deep Learning Talk
Sep 09, 2022 - 15:05-15:35 Leopoldo Sarra Renormalized Mutual Information for Artificial Scientific Discovery Talk
Sep 09, 2022 - 15:40-16:10 Lorenzo Buffoni Quantum density peak clustering Talk