Accedi

Machine Learning at GGI - Conference

05–09 set 2022
Europe/Rome fuso orario

Lista contributi

48 / 48
1. Registration
05/09/22, 09:00
2. Welcome
05/09/22, 11:00
33. Machine Learning and Large Scale Quantum Systems
Eliska Greplova
05/09/22, 11:15
34. Machine Learning for quantum noise discrimination
Stefano Martina
05/09/22, 11:50
35. Spectral Pruning for Neural Network
Lorenzo Giambagli
05/09/22, 12:25
19. A semi-supervised approach to dark matter searches in direct detection data with machine learning
Andre Scaffidi
05/09/22, 14:30
18. Two machine learning based methods for field-level inference of cosmological parameters
Moritz Münchmeyer
05/09/22, 15:05
39. Recurrent NNs for fast signal discovery in pulsar timing arrays
Marat Freytsis
05/09/22, 15:40
5. Using Machine Learning for Physics: The Underlying Mathematical Assumptions
Jeff Byers
05/09/22, 16:45
HEP
3. Product Jacobi-Theta Boltzmann machines with score matching
Andrea Pasquale
05/09/22, 17:20
HEP
40. Quantum Computing & Quantum Machine Learning
Filippo Caruso
06/09/22, 10:40
41. Algorithmic exploitation of the energy landscape in non-convex neural networks
Riccardo Zecchina
06/09/22, 11:15
42. Coarse-graining for classical and quantum systems
Cecilia Clementi
06/09/22, 11:50
43. Bridge between Classical & Quantum Machine Learning
Jack Araz
06/09/22, 12:25
20. Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms
Luca Graziani
06/09/22, 14:30
21. Reconstructing blended galaxies with Machine Learning
Lavanya Nemani
06/09/22, 15:05
22. Digging into data cubes with Deep Learning
Giuseppe Longo
06/09/22, 15:40
28. Style-based quantum generative adversarial networks for Monte Carlo events
Stefano Carrazza
06/09/22, 16:45
HEP
27. PDF determination: from NN fitting to posterior sampling
Alessandro Candido
06/09/22, 17:20
HEP
7. The LHC Physics case
Marco Zanetti (Istituto Nazionale di Fisica Nucleare), Marco Zanetti (CERN)
07/09/22, 10:40
HEP
8. Learning New Physics from a Machine
Gaia Grosso
07/09/22, 11:15
HEP
9. Efficient nonparametric methods for statistical anomaly detection
Marco Letizia
07/09/22, 11:50
HEP
17. Challenges for unsupervised anomaly detection in particle physics
Katherine Fraser
07/09/22, 12:25
HEP
44. A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems
Federico Ricci Tersenghi
07/09/22, 14:30
45. Quantum associative memory for quantum image recognition
Sreetama Das
07/09/22, 15:05
46. Reinforcement Learning for Quantum Technologies
Florian Marquardt
07/09/22, 15:40
48. Applying DNN to extract nuclear matter properties from neutron stars
Marcio Ferreira
07/09/22, 16:45
6. Visit to Galileo's Villa il Gioiello
07/09/22, 18:00
23. NCPA mitigation using PCA and Neural Network
Alessandro Terreri
08/09/22, 10:40
24. Accelerating cosmological inference with Deep Learning
Marco Bonici
08/09/22, 11:15
25. Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web
Farida Farsian
08/09/22, 11:50
26. Optimal compression of the cosmic 21-cm signal
David Prelogovic
08/09/22, 12:25
10. Parametrized classifiers for optimal EFT sensitivity
Giuliano Panico
08/09/22, 14:30
HEP
31. Towards an optimal global SMEFT fit with machine learning
Jaco Ter Hoeve
08/09/22, 15:05
HEP
11. Exploring EFT with ML at the LHC
Robert Schöfbeck
08/09/22, 15:40
HEP
12. PHYSTAT Activities
Louis Lyons
08/09/22, 16:45
HEP
32. Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
Manuel Szewc
08/09/22, 17:20
HEP
47. Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond
Uros Seljak
09/09/22, 10:40
14. Particle Cloud Generation with Message Passing GANs
Raghav Kansal
09/09/22, 11:15
HEP
15. Gradient estimators for normalising flows
Piotr Bialas
09/09/22, 11:50
HEP
16. Machine learning for supersymmetric matrix models
Enrico Rinaldi
09/09/22, 12:25
HEP
36. Rapid Exploration of Topological Band Structures Using Deep Learning
Vittorio Peano
09/09/22, 14:30
37. Renormalized Mutual Information for Artificial Scientific Discovery
Leopoldo Sarra
09/09/22, 15:05
38. Quantum density peak clustering
Lorenzo Buffoni
09/09/22, 15:40
4. TBA
HEP
29. TBA
HEP
30. TBA
HEP
13. Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
Manuel Szewc
HEP
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