Login

Machine Learning at GGI - Conference

Sep 5 – 9, 2022
Europe/Rome timezone

Contribution List

48 / 48
1. Registration
9/5/22, 9:00 AM
2. Welcome
9/5/22, 11:00 AM
33. Machine Learning and Large Scale Quantum Systems
Eliska Greplova
9/5/22, 11:15 AM
34. Machine Learning for quantum noise discrimination
Stefano Martina
9/5/22, 11:50 AM
35. Spectral Pruning for Neural Network
Lorenzo Giambagli
9/5/22, 12:25 PM
19. A semi-supervised approach to dark matter searches in direct detection data with machine learning
Andre Scaffidi
9/5/22, 2:30 PM
18. Two machine learning based methods for field-level inference of cosmological parameters
Moritz Münchmeyer
9/5/22, 3:05 PM
39. Recurrent NNs for fast signal discovery in pulsar timing arrays
Marat Freytsis
9/5/22, 3:40 PM
5. Using Machine Learning for Physics: The Underlying Mathematical Assumptions
Jeff Byers
9/5/22, 4:45 PM
HEP
3. Product Jacobi-Theta Boltzmann machines with score matching
Andrea Pasquale
9/5/22, 5:20 PM
HEP
40. Quantum Computing & Quantum Machine Learning
Filippo Caruso
9/6/22, 10:40 AM
41. Algorithmic exploitation of the energy landscape in non-convex neural networks
Riccardo Zecchina
9/6/22, 11:15 AM
42. Coarse-graining for classical and quantum systems
Cecilia Clementi
9/6/22, 11:50 AM
43. Bridge between Classical & Quantum Machine Learning
Jack Araz
9/6/22, 12:25 PM
20. Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms
Luca Graziani
9/6/22, 2:30 PM
21. Reconstructing blended galaxies with Machine Learning
Lavanya Nemani
9/6/22, 3:05 PM
22. Digging into data cubes with Deep Learning
Giuseppe Longo
9/6/22, 3:40 PM
28. Style-based quantum generative adversarial networks for Monte Carlo events
Stefano Carrazza
9/6/22, 4:45 PM
HEP
27. PDF determination: from NN fitting to posterior sampling
Alessandro Candido
9/6/22, 5:20 PM
HEP
7. The LHC Physics case
Marco Zanetti (Istituto Nazionale di Fisica Nucleare), Marco Zanetti (CERN)
9/7/22, 10:40 AM
HEP
8. Learning New Physics from a Machine
Gaia Grosso
9/7/22, 11:15 AM
HEP
9. Efficient nonparametric methods for statistical anomaly detection
Marco Letizia
9/7/22, 11:50 AM
HEP
17. Challenges for unsupervised anomaly detection in particle physics
Katherine Fraser
9/7/22, 12:25 PM
HEP
44. A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems
Federico Ricci Tersenghi
9/7/22, 2:30 PM
45. Quantum associative memory for quantum image recognition
Sreetama Das
9/7/22, 3:05 PM
46. Reinforcement Learning for Quantum Technologies
Florian Marquardt
9/7/22, 3:40 PM
48. Applying DNN to extract nuclear matter properties from neutron stars
Marcio Ferreira
9/7/22, 4:45 PM
6. Visit to Galileo's Villa il Gioiello
9/7/22, 6:00 PM
23. NCPA mitigation using PCA and Neural Network
Alessandro Terreri
9/8/22, 10:40 AM
24. Accelerating cosmological inference with Deep Learning
Marco Bonici
9/8/22, 11:15 AM
25. Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web
Farida Farsian
9/8/22, 11:50 AM
26. Optimal compression of the cosmic 21-cm signal
David Prelogovic
9/8/22, 12:25 PM
10. Parametrized classifiers for optimal EFT sensitivity
Giuliano Panico
9/8/22, 2:30 PM
HEP
31. Towards an optimal global SMEFT fit with machine learning
Jaco Ter Hoeve
9/8/22, 3:05 PM
HEP
11. Exploring EFT with ML at the LHC
Robert Schöfbeck
9/8/22, 3:40 PM
HEP
12. PHYSTAT Activities
Louis Lyons
9/8/22, 4:45 PM
HEP
32. Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
Manuel Szewc
9/8/22, 5:20 PM
HEP
47. Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond
Uros Seljak
9/9/22, 10:40 AM
14. Particle Cloud Generation with Message Passing GANs
Raghav Kansal
9/9/22, 11:15 AM
HEP
15. Gradient estimators for normalising flows
Piotr Bialas
9/9/22, 11:50 AM
HEP
16. Machine learning for supersymmetric matrix models
Enrico Rinaldi
9/9/22, 12:25 PM
HEP
36. Rapid Exploration of Topological Band Structures Using Deep Learning
Vittorio Peano
9/9/22, 2:30 PM
37. Renormalized Mutual Information for Artificial Scientific Discovery
Leopoldo Sarra
9/9/22, 3:05 PM
38. Quantum density peak clustering
Lorenzo Buffoni
9/9/22, 3:40 PM
4. TBA
HEP
29. TBA
HEP
30. TBA
HEP
13. Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
Manuel Szewc
HEP
Powered by Indico v3.3.3