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NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems"

13 / 13 papers shown
Title
Are queries and keys always relevant? A case study on Transformer wave functions
Are queries and keys always relevant? A case study on Transformer wave functions
Riccardo Rende
Luciano Loris Viteritti
63
7
0
29 May 2024
Numerical and geometrical aspects of flow-based variational quantum
  Monte Carlo
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
J. Stokes
Brian Chen
S. Veerapaneni
65
6
0
28 Mar 2022
Neural network wave functions and the sign problem
Neural network wave functions and the sign problem
A. Szabó
C. Castelnovo
96
70
0
11 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,591
0
03 Dec 2019
Summarizing CPU and GPU Design Trends with Product Data
Summarizing CPU and GPU Design Trends with Product Data
Yifan Sun
Nicolas Bohm Agostini
Shi Dong
David Kaeli
29
84
0
26 Nov 2019
Geometry of learning neural quantum states
Geometry of learning neural quantum states
Chae-Yeun Park
M. Kastoryano
58
63
0
24 Oct 2019
Quantum Natural Gradient
Quantum Natural Gradient
J. Stokes
J. Izaac
N. Killoran
Giuseppe Carleo
54
410
0
04 Sep 2019
Deep autoregressive models for the efficient variational simulation of
  many-body quantum systems
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
0
11 Feb 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
96
186
0
27 Sep 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
250
1,188
0
27 Jun 2018
Neural-Network Quantum States, String-Bond States, and Chiral
  Topological States
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
0
11 Oct 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
427
2,480
0
10 Mar 2017
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
173
1,946
0
24 Feb 2016
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