Thursday, March 8, 2018
8:00AM - 8:36AM
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R34.00001: Tensor Network Machine Learning Models
Invited Speaker:
Edwin Stoudenmire
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Thursday, March 8, 2018
8:36AM - 8:48AM
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R34.00002: Unifying Quantum Tensor Network and Convolutional Neural Network
Yahui Zhang
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Thursday, March 8, 2018
8:48AM - 9:00AM
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R34.00003: Efficient Representation of Matrx Product State with Restricted Boltzmann Machine
Zhengyu Zhang, Xun Gao, Luming Duan
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Thursday, March 8, 2018
9:00AM - 9:12AM
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R34.00004: Machine Learning Spatial Geometry from Entanglement Features
Yizhuang You, Zhao Yang, Xiaoliang Qi
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Thursday, March 8, 2018
9:12AM - 9:24AM
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R34.00005: Thermodynamics-inspired unsupervised clustering of objects
Jorge Munoz
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Thursday, March 8, 2018
9:24AM - 9:36AM
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R34.00006: Designing Error-Correction Codes by Machine Learning
Ye-Hua Liu
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Thursday, March 8, 2018
9:36AM - 9:48AM
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R34.00007: Morse-Smale Systems and Machine Learning
Kyle Kawagoe, Arvind Murugan
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Thursday, March 8, 2018
9:48AM - 10:00AM
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R34.00008: Self-learning Monte Carlo Method with Deep Neural Networks
Junwei Liu, Huitao Shen, Liang Fu
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Thursday, March 8, 2018
10:00AM - 10:12AM
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R34.00009: Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines
Li Huang, Lei Wang
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Thursday, March 8, 2018
10:12AM - 10:24AM
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R34.00010: Model parameter learning using Kullback-Leibler divergence
Chungwei Lin, Chih-kuan Tung
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Thursday, March 8, 2018
10:24AM - 10:36AM
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R34.00011: SchNet - A Deep Learning Architecture for Molecules and Materials
Kristof Schütt, Huziel Sauceda, Pieter-Jan Kindermans, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko
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Thursday, March 8, 2018
10:36AM - 10:48AM
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R34.00012: Deep Potential Molecular Dynamics: a Scalable Model with the Accuracy of Quantum Mechanics
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
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Thursday, March 8, 2018
10:48AM - 11:00AM
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R34.00013: Translating accurate electronic structure calculations into an accurate calculation of dynamical properties in liquid water via the neural network.
Yi Yao, Yosuke Kanai
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