Conference


05 Sep, 2022 - 09 Sep, 2022

Machine Learning at GGI

Abstract

Topics

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 organizers

Giuliano Panico (U. Firenze)

Contact

giuliano.panico@unifi.it

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

Code of Conduct

Please read the INFN Code of Conduct for Conferences and Events.

Related events
Poster session

The participants who would like to present a poster are kindly invited to send an email with the title and a short abstract to alice.bernamonti@unifuit before May 22, specifying for which week of the workshop. Since a limited number of panels is available, the organizers will select the posters shortly after the deadline.

week 3

Monday Tuesday Wednesday Thursday Friday
11:30 - 12:30 Tomasevic Newenfeld Collin-Ellerin Caceres
13:00 - 14:30 lunch lunch lunch lunch lunch
14:30 - 15:30 Sorce Emparan
  • Elena Caceres: 'On Sparse SYK, wormholes, and chaos"
  • Sean Colin-Ellerin: "Bootstrapping wuantum extremal surfaces
  • Roberto Emparan: "Black tsunamis and naked singularities in AdS'
  • Dominik Neuenfeld: "Bounds on gravitational brane couplings and tomography in AdS3 black hole microstates"
  • Jonathan Sorce: "Bulk causality from boundary entanglement: the connected wedge theorem revisited"
  • Marija Tomasevic: 'ds through holography

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