Name: Machine Learning and the Renormalization Group
Start: 2024-05-27T08:30:00+02:00
End: 2024-05-31T23:45:00+02:00
Location: ECT*

Machine Learning and the Renormalization Group

from Monday, 27 May 2024 (08:30) to Friday, 31 May 2024 (23:45)

Monday, 27 May 2024

08:30

08:30 - 09:30
Room: Aula Renzo Leonardi

09:30

09:30 - 09:45
Room: Aula Renzo Leonardi

09:45

09:45 - 10:15
Room: Aula Renzo Leonardi
10:15
10:15 - 11:00
Room: Aula Renzo Leonardi
Contributions

10:15 Non-perturbative renormalization for the neural network-QFT correspondence - Harold Erbin (CEA-IPHT)
11:00

11:00 - 11:30
Room: Aula Renzo Leonardi
11:30
11:30 - 12:15
Room: Aula Renzo Leonardi
Contributions

11:30 Physics-induced functional RG flows - Friederike Ihssen (Universität Heidelberg)
12:15

12:15 - 12:30
Room: Aula Renzo Leonardi

12:30

12:30 - 14:30
Room: Aula Renzo Leonardi
14:30
14:30 - 15:15
Room: Aula Renzo Leonardi
Contributions

14:30 Extracting operator content of quantum and classical lattice models using lossy compression theory - Maciej Koch-Janusz (Haiqu, Inc.)
15:15

15:15 - 15:45
Room: Aula Renzo Leonardi
15:45
15:45 - 16:30
Room: Aula Renzo Leonardi
Contributions

15:45 ML through the lens of Renormalization Group - Anindita Maiti (Perimeter Institute for Theoretical Physics)
16:30

16:30 - 17:00
Room: Aula Renzo Leonardi

17:30

17:30 - 18:30
Room: Villa Tambosi
Tuesday, 28 May 2024
09:30
09:30 - 11:00
Room: Aula Renzo Leonardi
Contributions

09:30 Soft matter physics as a joint between deep learning and renormalisation group - Raffaello Potestio (UniTn - Physics Dept.)

10:15 Generating configurations of increasing lattice size with machine learning and the inverse renormalization group - Dimitrios Bachtis (ENS Paris)
11:00

11:00 - 11:30
Room: Aula Renzo Leonardi
11:30
11:30 - 12:15
Room: Aula Renzo Leonardi
Contributions

11:30 Detecting composite orders in layered models via machine learning - Nicolo Defenu (ETH Zurich)
12:15

12:15 - 12:30
Room: Aula Renzo Leonardi

12:30

12:30 - 14:30
Room: Aula Renzo Leonardi
14:30
14:30 - 15:15
Room: Aula Renzo Leonardi
Contributions

14:30 Renormalization Group Approach for Machine Learning Hamiltonian - Misaki Ozawa (Univ. Grenoble Alpes, France)
15:15

15:15 - 15:45
Room: Aula Renzo Leonardi
15:45
15:45 - 16:30
Room: Aula Renzo Leonardi
Contributions

15:45 Phi^4 Theory as a Neural Network Field Theory - Jim Halverson (Northeastern University)
16:30

16:30 - 17:00
Room: Aula Renzo Leonardi
Wednesday, 29 May 2024
09:30
09:30 - 11:00
Room: Aula Renzo Leonardi
Contributions

09:30 Machine learning renormalization group actions - Kieran Holland (University of the Pacific) Urs Wenger

10:15 Machine learning renormalization group actions - Kieran Holland (University of the Pacific) Urs Wenger
11:00

11:00 - 11:30
Room: Aula Renzo Leonardi
11:30
11:30 - 12:15
Room: Aula Renzo Leonardi
Contributions

11:30 Localized machine learned flow maps to accelerate Markov Chain Monte Carlo simulations - Jacob Finkenrath
12:15

12:15 - 12:30
Room: Aula Renzo Leonardi

12:30

12:30 - 14:30
Room: Aula Renzo Leonardi
14:30
14:30 - 15:15
Room: Aula Renzo Leonardi
Contributions

14:30 Applications of flow models to the generation of correlated lattice QCD ensembles - Fernando Romero-Lopez (MIT)
15:15

15:15 - 15:45
Room: Aula Renzo Leonardi
15:45
15:45 - 16:30
Room: Aula Renzo Leonardi
Contributions

15:45 Understanding infinite width neural networks from the perspective of statistical mechanics - Jascha Sohl-Dickstein (Anthropic)
16:30

16:30 - 17:00
Room: Aula Renzo Leonardi
Thursday, 30 May 2024
09:30
09:30 - 11:00
Room: Aula Renzo Leonardi
Contributions

09:30 Effective Theory of Deep Neural Networks - Sho Yaida (Meta Platforms, Inc.)

10:15 Diffusion Models as Stochastic Quantization in Lattice Field Theory - Kai Zhou (Frankfurt Institute for Advanced Studies)
11:00

11:00 - 11:30
Room: Aula Renzo Leonardi
11:30
11:30 - 12:15
Room: Aula Renzo Leonardi
Contributions

11:30 Renormalizing Diffusion Models - Semen Rezchikov (Princeton University / Institute of Advanced Study)
12:15

12:15 - 12:30
Room: Aula Renzo Leonardi

12:30

12:30 - 14:30
Room: Aula Renzo Leonardi
14:30
14:30 - 15:15
Room: Aula Renzo Leonardi
Contributions

14:30 RG inspired perspectives on diffusion models - Mathis Gerdes (University of Amsterdam)
15:15

15:15 - 15:45
Room: Aula Renzo Leonardi
15:45
15:45 - 16:30
Room: Aula Renzo Leonardi
Contributions

15:45 Topological Data Analysis of Monopoles in U(1) Lattice Gauge Theory - Xavier Crean (Swansea University)
16:30

16:30 - 17:00
Room: Aula Renzo Leonardi

20:00

20:00 - 22:00
Room: Ristorante Scrigno del Duomo
Friday, 31 May 2024
09:30
09:30 - 11:00
Room: Aula Renzo Leonardi
Contributions

09:30 Action estimation with continuous-mixture autoregressive networks - Lingxiao Wang (RIKEN)

10:15 Learning correlations between "characters" by a nano-GPT - Ouraman Hajizadeh
11:00

11:00 - 11:30
Room: Aula Renzo Leonardi
11:30
11:30 - 12:15
Room: Aula Renzo Leonardi
Contributions

11:30 Learning and (not quite) random matrix theory - Gert Aarts (Swansea University)
12:15

12:15 - 12:30
Room: Aula Renzo Leonardi

12:30

12:30 - 14:30
Room: Aula Renzo Leonardi

14:30

14:30 - 15:15
Room: Aula Renzo Leonardi

15:15

15:15 - 15:45
Room: Aula Renzo Leonardi

15:45

15:45 - 16:00
Room: Aula Renzo Leonardi