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16:00
|
What is string data?
-
Michael Douglas
(Stony Brook University)
()
|
|
16:30
|
The world in a grain of sand
-
Yang-Hui He
(London Institute, Royal Institution)
()
|
|
17:00
|
ML to identify symmetries and integrability of physical systems
-
Sven Krippendorf
(LMU Munich)
()
|
|
18:00
|
Permutation invariant random matrix theory and natural language data
-
Sanjaye Ramgoolam
(Queen Mary, University of London)
()
|
|
18:30
|
Machine learning Calabi–Yau hypersurfaces
-
Edward Hirst
(City, University of London)
()
|
|
19:00
|
Discussion
()
|
|
|
16:00
|
Deep learning and holographic QCD
-
Koji Hashimoto
(Kyoto University)
()
|
|
16:30
|
The principles of deep learning theory
-
Daniel Roberts
(MIT)
()
|
|
17:00
|
Building quantum field theories out of neurons
-
James Halverson
(Northeastern University)
()
|
|
18:00
|
A tale of symmetry and duality in neural networks
-
Anindita Maiti
(Northeastern University)
()
|
|
18:30
|
Renormalizing the optimal hyperparameters of a neural network
-
Greg Yang
(Microsoft Research)
()
|
|
19:00
|
Discussion
()
|
|
|
16:00
|
Machine learning the Kitaev honeycomb model
-
Babak Haghighat
(Tsinghua University)
()
|
|
16:30
|
Towards solving CFTs with reinforcement learning
-
Costis Papageorgakis
(Queen Mary, University of London)
()
|
|
17:00
|
Non-perturbative renormalization for the neural network-QFT correspondence
-
Harold Erbin
(MIT)
()
|
|
18:00
|
Using generative adversarial networks to produce knots with specified invariants
-
Mark Hughes
(Brigham Young University)
()
|
|
18:30
|
Deep learning knot invariants and gauge theory
-
Arjun Kar
(University of British Columbia)
()
|
|
19:00
|
Discussion
()
|
|
|
16:00
|
Metrics and Machine Learning
-
Challenger Mishra
(Cambridge University)
()
|
|
16:30
|
SU(3) holonomy and SU(3) structure metrics and stable bundles
-
Lara Anderson
(Virginia Tech)
()
|
|
17:00
|
SU(3) holonomy/structure metrics for CICYs and toric varieties
-
Fabian Ruehle
(Northeastern University)
()
|
|
18:00
|
Calabi–Yau metrics, CFTs, and random matrices
-
Anthony Ashmore
(University of Chicago)
()
|
|
18:30
|
The string genome project
-
Gary Shiu
(University of Wisconsin)
()
|
|
19:00
|
Discussion
()
|
|
|
16:00
|
Machine learning for computing in quantum field theory
-
Miranda Cheng
(University of Amsterdam)
()
|
|
16:30
|
Hands-on Ricci-flat metrics with \texttt{cymetric}
-
Robin Schneider
(Uppsala University)
()
|
|
17:00
|
On machine learning Kreuzer–Skarke Calabi–Yau manifolds
-
Per Berglund
(University of New Hampshire)
()
|
|
18:00
|
Exploring heterotic models with reinforcement learning and genetic algorithms
-
Andre Lukas
(Oxford University)
()
|
|
18:30
|
BI for AI
-
Eva Silverstein
(Stanford University)
()
|
|
19:00
|
Discussion
()
|
|
