Geoffrey E Hinton. Neural Comput 2002
Times Cited: 387
Times Cited: 387
Times Cited
Times Co-cited
Similarity
Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
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
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
30
Representational power of restricted boltzmann machines and deep belief networks.
Nicolas Le Roux, Yoshua Bengio. Neural Comput 2008
Nicolas Le Roux, Yoshua Bengio. Neural Comput 2008
14
Neural networks and physical systems with emergent collective computational abilities.
J J Hopfield. Proc Natl Acad Sci U S A 1982
J J Hopfield. Proc Natl Acad Sci U S A 1982
12
Solving the quantum many-body problem with artificial neural networks.
Giuseppe Carleo, Matthias Troyer. Science 2017
Giuseppe Carleo, Matthias Troyer. Science 2017
11
Emergence of Compositional Representations in Restricted Boltzmann Machines.
J Tubiana, R Monasson. Phys Rev Lett 2017
J Tubiana, R Monasson. Phys Rev Lett 2017
42
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
Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari. Phys Rev E 2018
43
Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
6
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
S Geman, D Geman. IEEE Trans Pattern Anal Mach Intell 1984
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
Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci. Neural Netw 2012
19
The "wake-sleep" algorithm for unsupervised neural networks.
G E Hinton, P Dayan, B J Frey, R M Neal. Science 1995
G E Hinton, P Dayan, B J Frey, R M Neal. Science 1995
5
Blindfold learning of an accurate neural metric.
Christophe Gardella, Olivier Marre, Thierry Mora. Proc Natl Acad Sci U S A 2018
Christophe Gardella, Olivier Marre, Thierry Mora. Proc Natl Acad Sci U S A 2018
71
Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
5
Justifying and generalizing contrastive divergence.
Yoshua Bengio, Olivier Delalleau. Neural Comput 2009
Yoshua Bengio, Olivier Delalleau. Neural Comput 2009
20
Learning protein constitutive motifs from sequence data.
Jérôme Tubiana, Simona Cocco, Rémi Monasson. Elife 2019
Jérôme Tubiana, Simona Cocco, Rémi Monasson. Elife 2019
17
Phase transitions in restricted Boltzmann machines with generic priors.
Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari. Phys Rev E 2017
Adriano Barra, Giuseppe Genovese, Peter Sollich, Daniele Tantari. Phys Rev E 2017
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
Gašper Tkačik, Thierry Mora, Olivier Marre, Dario Amodei, Stephanie E Palmer, Michael J Berry, William Bialek. Proc Natl Acad Sci U S A 2015
4
Modeling higher-order correlations within cortical microcolumns.
Urs Köster, Jascha Sohl-Dickstein, Charles M Gray, Bruno A Olshausen. PLoS Comput Biol 2014
Urs Köster, Jascha Sohl-Dickstein, Charles M Gray, Bruno A Olshausen. PLoS Comput Biol 2014
15
Self-learning projective quantum Monte Carlo simulations guided by restricted Boltzmann machines.
S Pilati, E M Inack, P Pieri. Phys Rev E 2019
S Pilati, E M Inack, P Pieri. Phys Rev E 2019
57
Advanced mean-field theory of the restricted Boltzmann machine.
Haiping Huang, Taro Toyoizumi. Phys Rev E Stat Nonlin Soft Matter Phys 2015
Haiping Huang, Taro Toyoizumi. Phys Rev E Stat Nonlin Soft Matter Phys 2015
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
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
4
Auto-association by multilayer perceptrons and singular value decomposition.
H Bourlard, Y Kamp. Biol Cybern 1988
H Bourlard, Y Kamp. Biol Cybern 1988
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
Pankaj Mehta, Ching-Hao Wang, Alexandre G R Day, Clint Richardson, Marin Bukov, Charles K Fisher, David J Schwab. Phys Rep 2019
4
Mean-field message-passing equations in the Hopfield model and its generalizations.
Marc Mézard. Phys Rev E 2017
Marc Mézard. Phys Rev E 2017
25
Multitasking associative networks.
Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Francesco Moauro. Phys Rev Lett 2012
Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Francesco Moauro. Phys Rev Lett 2012
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
Timothy P Lillicrap, Daniel Cownden, Douglas B Tweed, Colin J Akerman. Nat Commun 2016
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
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass. PLoS Comput Biol 2011
3
Modeling language and cognition with deep unsupervised learning: a tutorial overview.
Marco Zorzi, Alberto Testolin, Ivilin P Stoianov. Front Psychol 2013
Marco Zorzi, Alberto Testolin, Ivilin P Stoianov. Front Psychol 2013
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
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
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
Jason S Prentice, Olivier Marre, Mark L Ioffe, Adrianna R Loback, Gašper Tkačik, Michael J Berry. PLoS Comput Biol 2016
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
Emre O Neftci, Bruno U Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs. Front Neurosci 2016
10
Bounding the bias of contrastive divergence learning.
Asja Fischer, Christian Igel. Neural Comput 2011
Asja Fischer, Christian Igel. Neural Comput 2011
50
A method for making group inferences from functional MRI data using independent component analysis.
V D Calhoun, T Adali, G D Pearlson, J J Pekar. Hum Brain Mapp 2001
V D Calhoun, T Adali, G D Pearlson, J J Pekar. Hum Brain Mapp 2001
3
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
R Devon Hjelm, Vince D Calhoun, Ruslan Salakhutdinov, Elena A Allen, Tulay Adali, Sergey M Plis. Neuroimage 2014
6
3
Efficient representation of quantum many-body states with deep neural networks.
Xun Gao, Lu-Ming Duan. Nat Commun 2017
Xun Gao, Lu-Ming Duan. Nat Commun 2017
7
Machine learning quantum phases of matter beyond the fermion sign problem.
Peter Broecker, Juan Carrasquilla, Roger G Melko, Simon Trebst. Sci Rep 2017
Peter Broecker, Juan Carrasquilla, Roger G Melko, Simon Trebst. Sci Rep 2017
6
33
Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders.
Sebastian J Wetzel. Phys Rev E 2017
Sebastian J Wetzel. Phys Rev E 2017
4
The perceptron: a probabilistic model for information storage and organization in the brain.
F ROSENBLATT. Psychol Rev 1958
F ROSENBLATT. Psychol Rev 1958
3
An efficient learning procedure for deep Boltzmann machines.
Ruslan Salakhutdinov, Geoffrey Hinton. Neural Comput 2012
Ruslan Salakhutdinov, Geoffrey Hinton. Neural Comput 2012
5
Transforming generalized Ising models into Boltzmann machines.
Nobuyuki Yoshioka, Yutaka Akagi, Hosho Katsura. Phys Rev E 2019
Nobuyuki Yoshioka, Yutaka Akagi, Hosho Katsura. Phys Rev E 2019
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.