|
8:00 AM
|
Welcome
()
|
|
9:00 AM
|
Machine learning is ubiquitous
-
Maria-Paola Lombardo
()
|
|
10:00 AM
|
Generative flow methods
-
Sinead Ryan
(until 10:45 AM)
()
|
|
10:00 AM
|
Aspects of scaling and scalability for flow-based samplers
-
Daniel Hackett
()
|
|
10:25 AM
|
Learning trivializing flows
-
David Albandea
()
|
|
10:45 AM
|
--- Coffee break ---
|
|
11:15 AM
|
Generative flow methods
-
Sinead Ryan
(until 1:00 PM)
()
|
|
11:15 AM
|
Fourier-Flow model generating Feynman paths
-
Lingxiao Wang
()
|
|
11:35 AM
|
Conditional Normalizing Flow model for sampling in the Critical region of Lattice Field Theory
-
Ankur Singha
()
|
|
11:55 AM
|
Numerical calculation of the color flux tube thickness using continuous normalizing flows
-
Elia Cellini
()
|
|
12:15 PM
|
Panel discussion
()
|
|
|
9:00 AM
|
ML for particle physics
-
Lukas Heinrich
()
|
|
10:00 AM
|
How to accelerate gauge field field generation using flow-based and hybrid models
-
Phiala Shanahan
()
|
|
10:45 AM
|
--- Coffee break ---
|
|
11:15 AM
|
Gauge field generation
-
Phiala Shanahan
(until 1:00 PM)
()
|
|
11:15 AM
|
Simulation of the 2D Schwinger Model via machine-learned flows in Global Correction steps
-
Jacob Finkenrath
()
|
|
11:40 AM
|
Variational Autoregressive Networks for Information Theory
-
Tomasz Stebel
()
|
|
12:00 PM
|
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
-
Jeanne Trinquier
()
|
|
12:20 PM
|
Panel discussion
()
|
|
|
9:00 AM
|
EFT, Lattice and ML
-
Nora Brambilla
(Physik Department, TU Munich)
(until 10:40 AM)
()
|
|
9:00 AM
|
Learning Trivializing Gradient Flows
-
Simone Bacchio
()
|
|
9:40 AM
|
An analysis of Bayesian estimates for missing higher orders in perturbative calculations
-
Aleksas Mazeliauskas
()
|
|
10:10 AM
|
Deep Learning and the Standard Model: a philosophy of science perspective
-
Luigi Scorzato
()
|
|
10:40 AM
|
--- Coffee break ---
|
|
11:10 AM
|
EFT, Lattice and ML
-
Nora Brambilla
(Physik Department, TU Munich)
(until 1:00 PM)
()
|
|
11:10 AM
|
Generative models and EFTs
-
Marina Marinkovic
()
|
|
|
9:00 AM
|
ML and quantum field theories
-
Gert Aarts
()
|
|
9:45 AM
|
ML for physical interpretation of lattice results
-
Alexander Rothkopf
(until 10:45 AM)
()
|
|
10:00 AM
|
Complex Langevin real-time simulations and ML
-
Alexander Rothkopf
()
|
|
10:25 AM
|
Towards fully bayesian analyses in Lattice QCD
-
Julien Frison
()
|
|
10:45 AM
|
--- Coffee Break ---
|
|
11:15 AM
|
ML for physical interpretation of lattice results
(until 1:00 PM)
()
|
|
11:15 AM
|
Physical Concepts from Neural Networks with Two Inputs
-
Sebastian Wetzel
()
|
|
11:35 AM
|
Ab-Initio Quantum Chemistry via Graph Neural Networks
-
Nicholas Gao
()
|
|
12:00 PM
|
Panel discussion on ML for physics interpretation
()
|
|
|
9:00 AM
|
Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
-
Frank Pollmann
()
|
|
9:30 AM
|
Inverse Problem
(until 10:45 AM)
()
|
|
9:30 AM
|
Machine learning hadron spectral functions in Lattice QCD
-
Gabor Papp
()
|
|
10:00 AM
|
TBA
-
Gitta Kutyniok
()
|
|
10:45 AM
|
--- Coffee break ---
|
|
11:15 AM
|
Inverse Problem
-
Andreas Kronfeld
(until 1:00 PM)
()
|
|
|
1:00 PM
|
--- Lunch ---
|
|
2:30 PM
|
ML for particle physics
-
Lukas Heinrich
(until 4:00 PM)
()
|
|
4:00 PM
|
--- Coffee break ---
|
|
4:30 PM
|
ML for phase transitions and sign problem mitigation
-
Will Detmold
(until 6:00 PM)
()
|
|
4:30 PM
|
Signal-to-noise improvement with contour deformations
-
Michael Wagman
()
|
|
4:50 PM
|
Complex normalizing flows and subtractions for sign problems
-
Yukari Yamauchi
()
|
|
5:10 PM
|
Applying Complex Valued Neural Networks to the Hubbard Model Sign Problem: A Survey and Case Study
-
Marcel Rodekamp
()
|
|
5:30 PM
|
Panel discussion
-
Will Detmold
Thomas Luu
Gurtej Kanwar
()
|
|
|
1:00 PM
|
--- Lunch ---
|
|
2:30 PM
|
ML for phase transitions and sign problem mitigation
-
Maria-Paola Lombardo
(until 4:00 PM)
()
|
|
4:00 PM
|
--- Coffee break ---
|
|
4:30 PM
|
Spectral Reconstruction
-
Gert Aarts
(until 6:00 PM)
()
|
|
4:30 PM
|
Brief introduction on spectral functions and their computation
-
Gert Aarts
()
|
|
4:40 PM
|
Spectral reconstruction with Gaussian processes
-
Julian Urban
()
|
|
5:10 PM
|
Spectral reconstruction with neural networks
-
Lingxiao Wang
Kai Zhou
()
|
|
5:40 PM
|
Learning regulators for spectral reconstruction
-
Alexander Rothkopf
()
|
|
5:50 PM
|
Panel discussion
()
|
|
|
1:00 PM
|
--- Lunch ---
|
|
2:30 PM
|
ML as component of exact algorithms
-
Phiala Shanahan
(until 4:30 PM)
()
|
|
2:30 PM
|
Building Transport Maps and Making Good Use of Them
-
Michael Albergo
()
|
|
3:00 PM
|
Automatic differentiation for Lattice QCD
-
A. Ramos
()
|
|
3:20 PM
|
TBA
-
Miles Cranmer
()
|
|
3:50 PM
|
Panel discussion
()
|
|
4:30 PM
|
--- Reception ---
|
|
6:00 PM
|
Provably exact: AI and theoretical physics
-
Phiala Shanahan
()
|
|
|
1:00 PM
|
--- Lunch ---
|
|
2:30 PM
|
Symmetry equivariant neural networks/informed neural networks
-
Gert Aarts
(until 4:00 PM)
()
|
|
4:00 PM
|
--- Coffee break ---
|
|
4:30 PM
|
Poster session
(until 6:00 PM)
()
|
|
|
1:00 PM
|
--- Lunch ---
|
|
2:30 PM
|
Inverse Problem
-
Andreas Kronfeld
(until 4:00 PM)
()
|
|
4:00 PM
|
--- Coffee break ---
|
|
6:00 PM
|
Workshop ending
()
|
|