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, May 27, 2024 (8:30 AM) to Friday, May 31, 2024 (11:45 PM)

Monday, May 27, 2024

8:30 AM Registration

8:30 AM - 9:30 AM
Room: Aula Renzo Leonardi

9:30 AM Opening

9:30 AM - 9:45 AM
Room: Aula Renzo Leonardi

9:45 AM Introduction

9:45 AM - 10:15 AM
Room: Aula Renzo Leonardi
10:15 AM Talks
10:15 AM - 11:00 AM
Room: Aula Renzo Leonardi
Contributions

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

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

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

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

12:30 PM Lunch Break

12:30 PM - 2:30 PM
Room: Aula Renzo Leonardi
2:30 PM Talks
2:30 PM - 3:15 PM
Room: Aula Renzo Leonardi
Contributions

2:30 PM Extracting operator content of quantum and classical lattice models using lossy compression theory - Maciej Koch-Janusz (Haiqu, Inc.)
3:15 PM Coffee Break

3:15 PM - 3:45 PM
Room: Aula Renzo Leonardi
3:45 PM Talks
3:45 PM - 4:30 PM
Room: Aula Renzo Leonardi
Contributions

3:45 PM ML through the lens of Renormalization Group - Anindita Maiti (Perimeter Institute for Theoretical Physics)
4:30 PM Discussion

4:30 PM - 5:00 PM
Room: Aula Renzo Leonardi

5:30 PM Welcome Aperitif

5:30 PM - 6:30 PM
Room: Villa Tambosi
Tuesday, May 28, 2024
9:30 AM Talks
9:30 AM - 11:00 AM
Room: Aula Renzo Leonardi
Contributions

9:30 AM Soft matter physics as a joint between deep learning and renormalisation group - Raffaello Potestio (UniTn - Physics Dept.)

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

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

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

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

12:30 PM Lunch Break

12:30 PM - 2:30 PM
Room: Aula Renzo Leonardi
2:30 PM Talks
2:30 PM - 3:15 PM
Room: Aula Renzo Leonardi
Contributions

2:30 PM Renormalization Group Approach for Machine Learning Hamiltonian - Misaki Ozawa (Univ. Grenoble Alpes, France)
3:15 PM Coffee Break

3:15 PM - 3:45 PM
Room: Aula Renzo Leonardi
3:45 PM Talks
3:45 PM - 4:30 PM
Room: Aula Renzo Leonardi
Contributions

3:45 PM Phi^4 Theory as a Neural Network Field Theory - Jim Halverson (Northeastern University)
4:30 PM Discussion

4:30 PM - 5:00 PM
Room: Aula Renzo Leonardi
Wednesday, May 29, 2024
9:30 AM Talks
9:30 AM - 11:00 AM
Room: Aula Renzo Leonardi
Contributions

9:30 AM Machine learning renormalization group actions - Kieran Holland (University of the Pacific) Urs Wenger

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

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

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

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

12:30 PM Lunch Break

12:30 PM - 2:30 PM
Room: Aula Renzo Leonardi
2:30 PM Talks
2:30 PM - 3:15 PM
Room: Aula Renzo Leonardi
Contributions

2:30 PM Applications of flow models to the generation of correlated lattice QCD ensembles - Fernando Romero-Lopez (MIT)
3:15 PM Coffee Break

3:15 PM - 3:45 PM
Room: Aula Renzo Leonardi
3:45 PM Talks
3:45 PM - 4:30 PM
Room: Aula Renzo Leonardi
Contributions

3:45 PM Understanding infinite width neural networks from the perspective of statistical mechanics - Jascha Sohl-Dickstein (Anthropic)
4:30 PM Discussion

4:30 PM - 5:00 PM
Room: Aula Renzo Leonardi
Thursday, May 30, 2024
9:30 AM Talks
9:30 AM - 11:00 AM
Room: Aula Renzo Leonardi
Contributions

9:30 AM Effective Theory of Deep Neural Networks - Sho Yaida (Meta Platforms, Inc.)

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

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

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

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

12:30 PM Lunch Break

12:30 PM - 2:30 PM
Room: Aula Renzo Leonardi
2:30 PM Talks
2:30 PM - 3:15 PM
Room: Aula Renzo Leonardi
Contributions

2:30 PM RG inspired perspectives on diffusion models - Mathis Gerdes (University of Amsterdam)
3:15 PM Coffee Break

3:15 PM - 3:45 PM
Room: Aula Renzo Leonardi
3:45 PM Talks
3:45 PM - 4:30 PM
Room: Aula Renzo Leonardi
Contributions

3:45 PM Topological Data Analysis of Monopoles in U(1) Lattice Gauge Theory - Xavier Crean (Swansea University)
4:30 PM Discussion

4:30 PM - 5:00 PM
Room: Aula Renzo Leonardi

8:00 PM Conference Dinner

8:00 PM - 10:00 PM
Room: Ristorante Scrigno del Duomo
Friday, May 31, 2024
9:30 AM Talks
9:30 AM - 11:00 AM
Room: Aula Renzo Leonardi
Contributions

9:30 AM Action estimation with continuous-mixture autoregressive networks - Lingxiao Wang (RIKEN)

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

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

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

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

12:30 PM Lunch Break

12:30 PM - 2:30 PM
Room: Aula Renzo Leonardi

2:30 PM Discussion

2:30 PM - 3:15 PM
Room: Aula Renzo Leonardi

3:15 PM Coffee Break

3:15 PM - 3:45 PM
Room: Aula Renzo Leonardi

3:45 PM Closing

3:45 PM - 4:00 PM
Room: Aula Renzo Leonardi

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