Fetching the paper…
Reading the bibliography…
A core technology that has emerged from the artificial intelligence revolution is the recurrent neural network (RNN).
1901
Earlier work this paper cites.
1905
Earlier work this paper cites.
1905
Earlier work this paper cites.
1906
Earlier work this paper cites.
1906
Earlier work this paper cites.
1906
Earlier work this paper cites.
1909
Earlier work this paper cites.
1911
Earlier work this paper cites.
1912
Earlier work this paper cites.
1912
Earlier work this paper cites.
W Marshall, “Antiferromagnetism,” Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences 232
1955
Earlier work this paper cites.
J. Bardeen, L. N. Cooper, and J. R. Schrieffer, “Theory of superconductivity,” Phys. Rev. 108
1957
Earlier work this paper cites.
Elliott Lieb and Daniel Mattis, “Ordering energy levels of interacting spin systems,” Journal of Mathematical Physics 3
1962
Earlier work this paper cites.
P. Hohenberg and W. Kohn, “Inhomogeneous electron gas,” Phys. Rev. 136
1964
Earlier work this paper cites.
A A Abrikosov, I Dzyaloshinskii, L P Gorkov, and Richard A Silverman, Methods of quantum field theory in statistical physics (Dover, New York, NY, 1975)
1975
Earlier work this paper cites.
R. B. Laughlin, “Anomalous quantum hall effect: An incompressible quantum fluid with fractionally charged excitations,” Phys. Rev. Lett. 50
1983
Earlier work this paper cites.
Claudius Gros, “Criterion for a good variational wave function,” Phys. Rev. B 42
1990
Earlier work this paper cites.
M. Fannes, B. Nachtergaele, and R. F. Werner, “Finitely correlated states on quantum spin chains,” Communications in Mathematical Physics 144
1992
Earlier work this paper cites.
Steven R. White, “Density matrix formulation for quantum renormalization groups,” Phys. Rev. Lett. 69
1992
Earlier work this paper cites.
J. Androsiuk, L. Kulak, and K. Sienicki, “Neural network solution of the Schrödinger equation for a two-dimensional harmonic oscillator,” Chemical Physics 173
1993
Earlier work this paper cites.
Y. Bengio, P. Simard, and P. Frasconi, “Learning long-term dependencies with gradient descent is difficult,” IEEE Transactions on Neural Networks 5
1994
Earlier work this paper cites.
Steven R. White and Ian Affleck, “Dimerization and incommensurate spiral spin correlations in the zigzag spin chain: Analogies to the kondo lattice,” Phys. Rev. B 54
1996
Earlier work this paper cites.
Sebastian Eggert, “Numerical evidence for multiplicative logarithmic corrections from marginal operators,” Phys. Rev. B 54
1996
Earlier work this paper cites.
“Artificial neural network methods in quantum mechanics,” Computer Physics Communications 104
1997
Earlier work this paper cites.
Sepp Hochreiter and Jürgen Schmidhuber, “Long short-term memory,” Neural Comput. 9
1997
Earlier work this paper cites.
Roland Assaraf and Michel Caffarel, “Zero-variance principle for monte carlo algorithms,” Physical Review Letters 83
1999
Earlier work this paper cites.
S. Bengio and Y. Bengio, “Taking on the curse of dimensionality in joint distributions using neural networks,” IEEE Transactions on Neural Networks 11
2000
Earlier work this paper cites.
Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour, “Policy gradient methods for reinforcement learning with function approximation,” in Advances in neural information processing systems (2000) pp. 1057–1063
2000
Earlier work this paper cites.
M. Sugawara, “Numerical solution of the Schrödinger equation by neural network and genetic algorithm,” Computer Physics Communications 140
2001
Cited alongside, same era.
J. F. Kolen and S. C. Kremer, “Gradient flow in recurrent nets: The difficulty of learning longterm dependencies,” in A Field Guide to Dynamical Recurrent Networks (IEEE, 2001) pp. 237–243
2001
Cited alongside, same era.
Henk W. J. Blöte and Youjin Deng, “Cluster monte carlo simulation of the transverse ising model,” Phys. Rev. E 66
2002
Cited alongside, same era.
Roland Assaraf and Michel Caffarel, “Zero-variance zero-bias principle for observables in quantum monte carlo: Application to forces,” The Journal of Chemical Physics 119
2003
Cited alongside, same era.
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” (2015), software available from tensorflow.org
2015
Later among the works it cites.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, “Deep Residual Learning for Image Recognition,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016) pp. 770–778
2016
Later among the works it cites.
Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, and Hugo Larochelle, “Neural autoregressive distribution estimation,” J. Mach. Learn. Res. 17
2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2003
Cited alongside, same era.
2003
Cited alongside, same era.
F. Verstraete and J. I. Cirac, “Renormalization algorithms for quantum-many body systems in two and higher dimensions,” (2004), arXiv:cond-mat/0407066 [cond-mat.str-el]
2004
Cited alongside, same era.
Shinsei Ryu and Tadashi Takayanagi, “Holographic derivation of entanglement entropy from the anti–de sitter space/conformal field theory correspondence,” Phys. Rev. Lett. 96
2006
Cited alongside, same era.
A. W. Sandvik and G. Vidal, “Variational quantum monte carlo simulations with tensor-network states,” Phys. Rev. Lett. 99
2007
Cited alongside, same era.
Sergey Bravyi, David P. Divincenzo, Roberto Oliveira, and Barbara M. Terhal, “The complexity of stoquastic local hamiltonian problems,” Quantum Info. Comput. 8
2008
Cited alongside, same era.
Steven T. Flammia, Alioscia Hamma, Taylor L. Hughes, and Xiao-Gang Wen, “Topological entanglement rényi entropy and reduced density matrix structure,” Phys. Rev. Lett. 103
2009
Cited alongside, same era.
2009
Cited alongside, same era.
Later among the works it cites.
Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning (MIT Press, 2016) http://www.deeplearningbook.org
2016
Later among the works it cites.
2016
Later among the works it cites.
Laurens Vanderstraeten, Jutho Haegeman, Philippe Corboz, and Frank Verstraete, “Gradient methods for variational optimization of projected entangled-pair states,” Physical Review B 94
2016
Later among the works it cites.
Aaron van den Oord, Nal Kalchbrenner, Lasse Espeholt, koray kavukcuoglu, Oriol Vinyals, and Alex Graves, “Conditional image generation with pixelcnn decoders,” in Advances in Neural Information Processing Systems 29 , edited by D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett (Curran Associates, Inc., 2016) pp. 4790–4798
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
2017
Later among the works it cites.
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis, “Mastering the game of go without human knowledge,” Nature 550
2017
Later among the works it cites.
Giuseppe Carleo and Matthias Troyer, “Solving the quantum many-body problem with artificial neural networks,” Science 355
2017
Later among the works it cites.
F. Becca and S. Sorella, Quantum Monte Carlo Approaches for Correlated Systems (Cambridge University Press, 2017)
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
2018
Later among the works it cites.
Giacomo Torlai, Guglielmo Mazzola, Juan Carrasquilla, Matthias Troyer, Roger Melko, and Giuseppe Carleo, “Neural-network quantum state tomography,” Nature Physics 14
2018
Later among the works it cites.
C. Hubig, J. Haegeman, and U. Schollwöck, “Error estimates for extrapolations with matrix-product states,” Physical Review B 97
2018
Later among the works it cites.
James Martens, Jimmy Ba, and Matt Johnson, “Kronecker-factored curvature approximations for recurrent neural networks,” in International Conference on Learning Representations (2018)
2018
Later among the works it cites.
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer, and Shanrong Zhao, “Applications of machine learning in drug discovery and development,” Nature Reviews Drug Discovery 18
2019
Later among the works it cites.
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer, Laurent Daudet, Maria Schuld, Naftali Tishby, Leslie Vogt-Maranto, and Lenka Zdeborová, “Machine learning and the physical sciences,” Reviews of Modern Physics 91
2019
Later among the works it cites.
Román Orús, “Tensor networks for complex quantum systems,” Nature Reviews Physics 1
2019
Later among the works it cites.
Roger G. Melko, Giuseppe Carleo, Juan Carrasquilla, and J. Ignacio Cirac, “Restricted Boltzmann machines in quantum physics,” Nature Physics , 1 (2019)
2019
Later among the works it cites.
Yoav Levine, Or Sharir, Nadav Cohen, and Amnon Shashua, “Quantum entanglement in deep learning architectures,” Phys. Rev. Lett. 122
2019
Later among the works it cites.
Dian Wu, Lei Wang, and Pan Zhang, “Solving statistical mechanics using variational autoregressive networks,” Physical Review Letters 122
2019
Later among the works it cites.
Jérôme Thibaut, Tommaso Roscilde, and Fabio Mezzacapo, “Long-range entangled-plaquette states for critical and frustrated quantum systems on a lattice,” Physical Review B 100
2019
Later among the works it cites.
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, and Amnon Shashua, “Deep autoregressive models for the efficient variational simulation of many-body quantum systems,” Physical Review Letters 124
2020
Closest in time.