Literature Search

Machine Learning Phases of Strongly Correlated Fermions

#1

(Aug 30, 2017)

Published in:
- Phys.Rev.X 7 (2017) 3, 031038

pdfDOI

reference search135 citations

Machine learning quantum phases of matter beyond the fermion sign problem

#2

(Aug 18, 2017)

Published in:
- Sci.Rep. 7 (2017) 1, 8823

pdfDOI

reference search146 citations

Solving the quantum many-body problem with artificial neural networks

#3

Giuseppe Carleo
(
- Zurich, ETH
)
,
Matthias Troyer
(
- Zurich, ETH and
- Microsoft, Redmond
)

(Feb 10, 2017)

Published in:
- Science 355 (2017) 6325, 602-606

DOI

reference search919 citations

Learning thermodynamics with Boltzmann machines

#4

(Oct 17, 2016)

Published in:
- Phys.Rev.B 94 (2016) 16, 165134

DOI

reference search126 citations

New Angles on Energy Correlation Functions

#5

Ian Moult
(
- UC, Berkeley and
- LBNL, Berkeley and
- MIT, Cambridge, CTP
)
,
Lina Necib
(
- MIT, Cambridge, CTP
)
,
Jesse Thaler
(
- MIT, Cambridge, CTP
)

(Sep 23, 2016)

Published in:
- JHEP 12 (2016) 153
•
e-Print:
- 1609.07483 [hep-ph]

DOI

reference search182 citations

Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks

#6

(Sep 2, 2016)

Published in:
- Phys.Rev.D 95 (2017) 1, 014018
•
e-Print:
- 1609.00607 [hep-ph]

pdfDOI

reference search128 citations

Nuclear charge radii: Density functional theory meets Bayesian neural networks

#7

(Aug 9, 2016)

Published in:
- J.Phys.G 43 (2016) 11, 114002
•
e-Print:
- 1608.03020 [nucl-th]

pdfDOI

reference search111 citations

Challenges in QCD matter physics --The scientific programme of the Compressed Baryonic Matter experiment at FAIR

#8

CBM

Collaboration

•

T. Ablyazimov
(
- Dubna, JINR
)

et al.

(Jul 6, 2016)

Published in:
- Eur.Phys.J.A 53 (2017) 3, 60
•
e-Print:
- 1607.01487 [nucl-ex]

pdfDOI

reference search350 citations

Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium

#9

(May 12, 2016)

Published in:
- Phys.Rev.C 94 (2016) 2, 024907
•
e-Print:
- 1605.03954 [nucl-th]

pdfDOI

reference search513 citations

Machine learning phases of matter

#10

(May 5, 2016)

Published in:
- Nature Phys. 13 (2017) 431-434
•
e-Print:
- 1605.01735 [cond-mat.str-el]

pdfDOI

reference search538 citations

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

#11

et al.

(Mar 14, 2016)

e-Print:
- 1603.04467 [cs.DC]

pdf

reference search483 citations

Determination of the

WW

polarization fractions in

pp \to W^\pm W^\pm jj

using a deep machine learning technique

#12

(Oct 6, 2015)

Published in:
- Phys.Rev.D 93 (2016) 9, 094033
•
e-Print:
- 1510.01691 [hep-ph]

pdfDOI

reference search41 citations

Deep learning

#13

(May 27, 2015)

Published in:
- Nature 521 (2015) 436-444

DOI

reference search915 citations

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

#14

(Feb 10, 2015)

e-Print:
- 1502.03167 [cs.LG]

pdf

reference search359 citations

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

#15

(Feb 6, 2015)

e-Print:
- 1502.01852 [cs.CV]

pdfDOI

reference search158 citations

Constraining the Eq. of State of Super-Hadronic Matter from Heavy-Ion Collisions

#16

Scott Pratt
(
- Michigan State U.
)
,
Evan Sangaline
(
- Michigan State U.
)
,
Paul Sorensen
(
- Brookhaven
)
,
Hui Wang
(
- Brookhaven
)

(Jan 16, 2015)

Published in:
- Phys.Rev.Lett. 114 (2015) 202301
•
e-Print:
- 1501.04042 [nucl-th]

pdfDOI

reference search200 citations

Adam: A Method for Stochastic Optimization

#17

Diederik P. Kingma
(
- Amsterdam U.
)
,
Jimmy Ba
(
- Toronto U.
)

(Dec 22, 2014)

e-Print:
- 1412.6980 [cs.LG]

pdf

reference search3,096 citations

Analytical and numerical Gubser solutions of the second-order hydrodynamics

#18

Long-Gang Pang
(
- CCNU, Wuhan, Inst. Part. Phys. and
- Hua-Zhong Normal U., LQLP
)
,
Yoshitaka Hatta
(
- Kyoto U., Yukawa Inst., Kyoto
)
,
Xin-Nian Wang
(
- Hua-Zhong Normal U. and
- Hua-Zhong Normal U., LQLP and
- LBNL, NSD
)
,
Bo-Wen Xiao
(
- CCNU, Wuhan, Inst. Part. Phys. and
- Hua-Zhong Normal U., LQLP
)

(Nov 28, 2014)

Published in:
- Phys.Rev.D 91 (2015) 7, 074027
•
e-Print:
- 1411.7767 [hep-ph]

pdfDOI

reference search71 citations

Anisotropic Hydrodynamics: Three lectures

#19

Michael Strickland
(
- Kent State U.
)

(Oct 19, 2014)

Published in:
- Acta Phys.Polon.B 45 (2014) 12, 2355-2394
•
Contribution to:
- 54th Cracow School of Theoretical Physics, 2355-2394
•
e-Print:
- 1410.5786 [nucl-th]

DOI

reference search174 citations

An exact mapping between the Variational Renormalization Group and Deep Learning

#20

(Oct 14, 2014)

e-Print:
- 1410.3831 [stat.ML]

pdf

reference search128 citations

Enhanced Higgs Boson to

\tau^+\tau^-

Search with Deep Learning

#21

(Oct 13, 2014)

Published in:
- Phys.Rev.Lett. 114 (2015) 11, 111801
•
e-Print:
- 1410.3469 [hep-ph]

pdfDOI

reference search81 citations

The iEBE-VISHNU code package for relativistic heavy-ion collisions

#22

Chun Shen
(
- Ohio State U.
)
,
Zhi Qiu
(
- Ohio State U.
)
,
Huichao Song
(
- Ohio State U. and
- Peking U. and
- Peking U., SKLNPT
)
,
Jonah Bernhard
(
- Duke U.
)
,
Steffen Bass
(
- Duke U.
)

et al.

(Sep 29, 2014)

Published in:
- Comput.Phys.Commun. 199 (2016) 61-85
•
e-Print:
- 1409.8164 [nucl-th]

DOI

reference search496 citations

Very Deep Convolutional Networks for Large-Scale Image Recognition

#23

(Sep 4, 2014)

e-Print:
- 1409.1556 [cs.CV]

pdf

reference search313 citations

Searching for Exotic Particles in High-Energy Physics with Deep Learning

#24

Pierre Baldi
(
- UC, Irvine
)
,
Peter Sadowski
(
- UC, Irvine
)
,
Daniel Whiteson
(
- UC, Irvine and
- Pennsylvania U.
)

(Feb 19, 2014)

Published in:
- Nature Commun. 5 (2014) 4308
•
e-Print:
- 1402.4735 [hep-ph]

pdfDOI

reference search288 citations

Hydrodynamic Modeling of Heavy-Ion Collisions

#25

(Jan, 2013)

Published in:
- Int.J.Mod.Phys.A 28 (2013) 1340011
•
e-Print:
- 1301.5893 [nucl-th]

pdfDOI

reference search865 citations

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