A citation-based method for searching scientific literature

Geoffrey E Hinton. Neural Comput 2002
Times Cited: 387







List of co-cited articles
161 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
32

A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
30

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
14





Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
7

Phase diagram of restricted Boltzmann machines and generalized Hopfield networks with arbitrary priors.
Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari. Phys Rev E 2018
16
43

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
749
6

Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
S Geman, D Geman. IEEE Trans Pattern Anal Mach Intell 1984
6

On the equivalence of Hopfield networks and Boltzmann Machines.
Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci. Neural Netw 2012
31
19

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
5

The "wake-sleep" algorithm for unsupervised neural networks.
G E Hinton, P Dayan, B J Frey, R M Neal. Science 1995
209
5

Blindfold learning of an accurate neural metric.
Christophe Gardella, Olivier Marre, Thierry Mora. Proc Natl Acad Sci U S A 2018
7
71

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
939
5

Justifying and generalizing contrastive divergence.
Yoshua Bengio, Olivier Delalleau. Neural Comput 2009
25
20

Learning protein constitutive motifs from sequence data.
Jérôme Tubiana, Simona Cocco, Rémi Monasson. Elife 2019
28
17

Phase transitions in restricted Boltzmann machines with generic priors.
Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari. Phys Rev E 2017
11
45

Thermodynamics and signatures of criticality in a network of neurons.
Gašper Tkačik, Thierry Mora, Olivier Marre, Dario Amodei, Stephanie E Palmer, Michael J Berry, William Bialek. Proc Natl Acad Sci U S A 2015
82
4

Modeling higher-order correlations within cortical microcolumns.
Urs Köster, Jascha Sohl-Dickstein, Charles M Gray, Bruno A Olshausen. PLoS Comput Biol 2014
26
15


Advanced mean-field theory of the restricted Boltzmann machine.
Haiping Huang, Taro Toyoizumi. Phys Rev E Stat Nonlin Soft Matter Phys 2015
11
36

Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
159
4


A high-bias, low-variance introduction to Machine Learning for physicists.
Pankaj Mehta, Ching-Hao Wang, Alexandre G R Day, Clint Richardson, Marin Bukov, Charles K Fisher, David J Schwab. Phys Rep 2019
95
4

The Helmholtz machine.
P Dayan, G E Hinton, R M Neal, R S Zemel. Neural Comput 1995
405
4


Multitasking associative networks.
Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Francesco Moauro. Phys Rev Lett 2012
41
9

Random synaptic feedback weights support error backpropagation for deep learning.
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
130
3

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass. PLoS Comput Biol 2011
115
3

Modeling language and cognition with deep unsupervised learning: a tutorial overview.
Marco Zorzi, Alberto Testolin, Ivilin P Stoianov. Front Psychol 2013
32
9

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
618
3

Error-Robust Modes of the Retinal Population Code.
Jason S Prentice, Olivier Marre, Mark L Ioffe, Adrianna R Loback, Gašper Tkačik, Michael J Berry. PLoS Comput Biol 2016
14
21

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.
Emre O Neftci, Bruno U Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs. Front Neurosci 2016
29
10

Bounding the bias of contrastive divergence learning.
Asja Fischer, Christian Igel. Neural Comput 2011
6
50


Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks.
R Devon Hjelm, Vince D Calhoun, Ruslan Salakhutdinov, Elena A Allen, Tulay Adali, Sergey M Plis. Neuroimage 2014
44
6

Optimization by simulated annealing.
S Kirkpatrick, C D Gelatt, M P Vecchi. Science 1983
3



Machine learning quantum phases of matter beyond the fermion sign problem.
Peter Broecker, Juan Carrasquilla, Roger G Melko, Simon Trebst. Sci Rep 2017
44
6

Smallest neural network to learn the Ising criticality.
Dongkyu Kim, Dong-Hee Kim. Phys Rev E 2018
9
33

Neural Network Renormalization Group.
Shuo-Hui Li, Lei Wang. Phys Rev Lett 2018
20
15



Learning multiple layers of representation.
Geoffrey E Hinton. Trends Cogn Sci 2007
155
3

An efficient learning procedure for deep Boltzmann machines.
Ruslan Salakhutdinov, Geoffrey Hinton. Neural Comput 2012
52
5


Transforming generalized Ising models into Boltzmann machines.
Nobuyuki Yoshioka, Yutaka Akagi, Hosho Katsura. Phys Rev E 2019
5
60


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.