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