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2112.10526
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NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
20 December 2021
F. Vicentini
Damian Hofmann
A. Szabó
Dian Wu
Christopher Roth
Clemens Giuliani
Gabriel Pescia
J. Nys
Vladimir Vargas-Calderón
N. Astrakhantsev
Giuseppe Carleo
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Papers citing
"NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems"
13 / 13 papers shown
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Lu Fang
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Soumith Chintala
ODL
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Summarizing CPU and GPU Design Trends with Product Data
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Shi Dong
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Geometry of learning neural quantum states
Chae-Yeun Park
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24 Oct 2019
Quantum Natural Gradient
J. Stokes
J. Izaac
N. Killoran
Giuseppe Carleo
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04 Sep 2019
Deep autoregressive models for the efficient variational simulation of many-body quantum systems
Or Sharir
Yoav Levine
Noam Wies
Giuseppe Carleo
Amnon Shashua
135
191
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11 Feb 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
96
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27 Sep 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
250
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27 Jun 2018
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
I. Glasser
Nicola Pancotti
Moritz August
I. D. Rodriguez
J. I. Cirac
135
229
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11 Oct 2017
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
427
2,480
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10 Mar 2017
Group Equivariant Convolutional Networks
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Max Welling
BDL
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24 Feb 2016
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