Tsinghua Workshop on Machine Learning in Geometry and Physics 2018

from Sunday, 10 June 2018 (16:00) to Friday, 15 June 2018 (17:00)
Tsinghua Sanya International Mathematics Forum

        : Sessions
    /     : Talks
        : Breaks
11 Jun 2018
12 Jun 2018
13 Jun 2018
14 Jun 2018
15 Jun 2018
AM
07:30 --- Breakfast ---
08:40 --- Opening Ceremony ---
09:00 Learning and Lie Groups - Gregory S. Chirikjian (Johns Hopkins University)   ()
10:00 --- Tea Break ---
10:30 A Generalized Construction of Calabi-Yau Manifolds and Mirror Symmetry - Per Berglund (New Hampshire)   ()
11:15 Patterns in Calabi-Yau Threefolds - Vishnu Jejjala (Witwatersrand)   ()
07:30 --- Breakfast ---
09:00 Renormalization and hierarchical knowledge representations - Cedric Beny (Hanyang University)   ()
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)   ()
PM
12:00 --- Lunch Break ---
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 ---
18:00 --- Dinner ---
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 ---
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