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07:30
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--- Breakfast ---
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08:40
|
--- Opening Ceremony ---
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09:00
|
Learning and Lie Groups
-
Gregory S. Chirikjian
(Johns Hopkins University)
()
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10:00
|
--- Tea Break ---
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10:30
|
A Generalized Construction of Calabi-Yau Manifolds and Mirror Symmetry
-
Per Berglund
(New Hampshire)
()
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11:15
|
Patterns in Calabi-Yau Threefolds
-
Vishnu Jejjala
(Witwatersrand)
()
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|
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07:30
|
--- Breakfast ---
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09:00
|
Renormalization and hierarchical knowledge representations
-
Cedric Beny
(Hanyang University)
()
|
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10:00
|
--- Tea Break ---
|
|
10:30
|
Real-space renormalization group
-
Maciej Koch-Janusz
(ETH Zurich)
()
|
|
11:15
|
Topological Data Analysis for Cosmology and String Theory
-
Gary Shiu
(University of Wisconsin-Madison)
()
|
|
|
07:30
|
--- Breakfast ---
|
|
09:00
|
Algebraic geometry of the restricted Boltzmann machine
-
Jason Morton
(Pennsylvania State University)
()
|
|
10:00
|
--- Tea Break ---
|
|
10:30
|
Reinforcement learning in the string landscape
-
Fabian Ruehle
(Oxford)
()
|
|
11:15
|
On Finding Small Cosmological Constants with Deep Reinforcement Learning
-
Jim Halverson
(Northeastern)
()
|
|
|
07:30
|
--- Breakfast ---
|
|
09:00
|
Tensor network from quantum simulations to machine learning
-
Jing Chen
(Flatiron Institute)
()
|
|
10:00
|
--- Tea Break ---
|
|
10:30
|
Tensor Network Holography and Deep Learning
-
Yi-Zhuang You
(UCSD & Harvard)
()
|
|
11:15
|
Reverse engineering Hamiltonian from spectrum
-
Hiroyu Fujita
(University of Tokyo)
()
|
|
|
07:30
|
--- Breakfast ---
|
|
09:00
|
Deep Learning and AdS/CFT
-
Koji Hashimoto
(Osaka University)
()
|
|
10:00
|
--- Tea Break ---
|
|
10:30
|
Detection of phase transition via convolutional neural networks
-
Akio Tomiya
(Central China Normal University)
()
|
|
11:15
|
The Machine Learning Role on High Energy Physics: A theoretical view
-
Javier Andres Orduz Ducuara
(UNAM)
()
|
|
|
12:00
|
--- Lunch Break ---
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|
14:00
|
Neural Program Synthesis and Neural Automated Theorem Proving, via Curry-Howard Correspondence
-
Greg Yang
(Microsoft Research)
()
|
|
14:45
|
Quantum Computers and Machine Learning
-
Artur Garcia Saez
(Barcelona SC Center)
()
|
|
15:30
|
--- Tea Break ---
|
|
16:00
|
--- Free Discussion ---
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|
18:00
|
--- Dinner ---
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|
|
12:00
|
--- Lunch Break ---
|
|
14:00
|
--- Excursion: Nanshan Temple ---
|
|
18:00
|
--- Banquet ---
|
|
|
12:00
|
--- Lunch Break ---
|
|
14:00
|
Faster exploration of parameter space in supersymmetry and string theory using machine learning
-
Sven Krippendorf
(LMU Munich)
()
|
|
14:45
|
The Nelson-Seiberg theorem, its extensions, string realizations, and possible machine learning applications
-
Zheng Sun
(Sichuan University)
()
|
|
15:30
|
--- Tea Break ---
|
|
16:00
|
--- Free Discussion ---
|
|
18:00
|
--- Dinner ---
|
|
|
12:00
|
--- Lunch Break ---
|
|
14:00
|
Toward reduction of autocorrelation in HMC by machine learning
-
Akinori Tanaka
(Riken)
()
|
|
14:45
|
Machine learning for parton distribution determination
-
Stefano Carrazza
(CERN)
()
|
|
15:30
|
--- Tea Break ---
|
|
16:00
|
--- Free Discussion ---
|
|
18:00
|
--- Dinner ---
|
|
|
12:00
|
--- Lunch & Departure ---
|
|
