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Geoffrey E. Hinton: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Geoffrey E. Hinton
    Connectionist Learning Procedures. [Citation Graph (3, 0)][DBLP]
    Artif. Intell., 1989, v:40, n:1-3, pp:185-234 [Journal]
  2. David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski
    A Learning Algorithm for Boltzmann Machines. [Citation Graph (3, 0)][DBLP]
    Cognitive Science, 1985, v:9, n:1, pp:147-169 [Journal]
  3. Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski
    Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. [Citation Graph (1, 0)][DBLP]
    AAAI, 1983, pp:109-113 [Conf]
  4. Geoffrey E. Hinton
    Learning Translation Invariant Recognition in Massively Parallel Networks. [Citation Graph (1, 0)][DBLP]
    PARLE (1), 1987, pp:1-13 [Conf]
  5. Geoffrey E. Hinton
    Modeling High-Dimensional Data by Combining Simple Experts. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1159-1164 [Conf]
  6. Drew V. McDermott, Geoffrey E. Hinton
    Learning in Massively Parallel Nets (Panel). [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:1149- [Conf]
  7. Sidney Fels, Geoffrey E. Hinton
    GloveTalkII: An Adaptive Gesture-to-Formant Interface. [Citation Graph (0, 0)][DBLP]
    CHI, 1995, pp:456-463 [Conf]
  8. Geoffrey E. Hinton, Drew van Camp
    Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:5-13 [Conf]
  9. Brendan J. Frey, Geoffrey E. Hinton
    Free Energy Coding. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1996, pp:73-81 [Conf]
  10. Geoffrey E. Hinton
    Using Relaxation to find a Puppet. [Citation Graph (0, 0)][DBLP]
    AISB (ECAI), 1976, pp:148-157 [Conf]
  11. Aaron Sloman, David Owen, Geoffrey E. Hinton, Frank Birch, Frank O'Gorman
    Representation and Control in Vision. [Citation Graph (0, 0)][DBLP]
    AISB/GI (ECAI), 1978, pp:309-314 [Conf]
  12. Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton
    A Desktop Input Device and Interface for Interactive 3D Character Animation. [Citation Graph (0, 0)][DBLP]
    Graphics Interface, 2002, pp:133-140 [Conf]
  13. Max Welling, Geoffrey E. Hinton
    A New Learning Algorithm for Mean Field Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:351-357 [Conf]
  14. Alberto Paccanaro, Geoffrey E. Hinton
    Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:711-718 [Conf]
  15. Geoffrey E. Hinton
    What kind of graphical model is the brain? [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1765-0 [Conf]
  16. Geoffrey E. Hinton
    Shape Representation in Parallel Systems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:1088-1096 [Conf]
  17. Geoffrey E. Hinton
    A Parallel Computation that Assigns Canonical Object-Based Frames of Reference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:683-685 [Conf]
  18. Geoffrey E. Hinton, Kevin J. Lang
    Shape Recognition and Illusory Conjunctions. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:252-259 [Conf]
  19. David S. Touretzky, Geoffrey E. Hinton
    Symbols Among the Neurons: Details of a Connectionist Inference Architecture. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:238-243 [Conf]
  20. Alberto Paccanaro, Geoffrey E. Hinton
    Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:259-264 [Conf]
  21. Sidney Fels, Geoffrey E. Hinton
    Building adaptive interfaces with neural networks: The glove-talk pilot study. [Citation Graph (0, 0)][DBLP]
    INTERACT, 1990, pp:683-688 [Conf]
  22. Suzanna Becker, Geoffrey E. Hinton
    Learning to Make Coherent Predictions in Domains with Discontinuities. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:372-379 [Conf]
  23. Andrew D. Brown, Geoffrey E. Hinton
    Relative Density Nets: A New Way to Combine Backpropagation with HMM's. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1149-1156 [Conf]
  24. Yann LeCun, Conrad C. Galland, Geoffrey E. Hinton
    GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection. [Citation Graph (0, 0)][DBLP]
    NIPS, 1988, pp:141-148 [Conf]
  25. Peter Dayan, Geoffrey E. Hinton
    Feudal Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:271-278 [Conf]
  26. Sidney Fels, Geoffrey E. Hinton
    Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:843-850 [Conf]
  27. Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan
    Does the Wake-sleep Algorithm Produce Good Density Estimators? [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:661-667 [Conf]
  28. Conrad C. Galland, Geoffrey E. Hinton
    Discovering High Order Features with Mean Field Modules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:509-515 [Conf]
  29. Zoubin Ghahramani, Geoffrey E. Hinton
    Hierarchical Non-linear Factor Analysis and Topographic Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  30. Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov
    Neighbourhood Components Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  31. Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
    Fast Neural Network Emulation of Dynamical Systems for Computer Animation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:882-888 [Conf]
  32. Geoffrey E. Hinton, Andrew D. Brown
    Spiking Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:122-128 [Conf]
  33. Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh
    Learning to Parse Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:463-469 [Conf]
  34. Geoffrey E. Hinton, James L. McClelland
    Learning Representations by Recirculation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1987, pp:358-366 [Conf]
  35. Geoff Hinton, Vinod Nair
    Inferring Motor Programs from Images of Handwritten Digits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  36. Geoffrey E. Hinton, Sam T. Roweis
    Stochastic Neighbor Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:833-840 [Conf]
  37. Geoffrey E. Hinton, Michael Revow
    Using Pairs of Data-Points to Define Splits for Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:507-513 [Conf]
  38. Geoffrey E. Hinton, Michael Revow, Peter Dayan
    Recognizing Handwritten Digits Using Mixtures of Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1015-1022 [Conf]
  39. Geoffrey E. Hinton, Max Welling, Andriy Mnih
    Wormholes Improve Contrastive Divergence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  40. Geoffrey E. Hinton, Christopher K. I. Williams, Michael Revow
    Adaptive Elastic Models for Hand-Printed Character Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:512-519 [Conf]
  41. Geoffrey E. Hinton, Richard S. Zemel
    Autoencoders, Minimum Description Length and Helmholtz Free Energy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:3-10 [Conf]
  42. Kevin J. Lang, Geoffrey E. Hinton
    Dimensionality Reduction and Prior Knowledge in E-Set Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:178-185 [Conf]
  43. Guy Mayraz, Geoffrey E. Hinton
    Recognizing Hand-written Digits Using Hierarchical Products of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:953-959 [Conf]
  44. Roland Memisevic, Geoffrey E. Hinton
    Multiple Relational Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  45. Steven J. Nowlan, Geoffrey E. Hinton
    Evaluation of Adaptive Mixtures of Competing Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:774-780 [Conf]
  46. Steven J. Nowlan, Geoffrey E. Hinton
    Adaptive Soft Weight Tying using Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:993-1000 [Conf]
  47. Alberto Paccanaro, Geoffrey E. Hinton
    Learning Hierarchical Structures with Linear Relational Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:857-864 [Conf]
  48. Brian Sallans, Geoffrey E. Hinton
    Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1075-1081 [Conf]
  49. Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton
    Global Coordination of Local Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:889-896 [Conf]
  50. Yee Whye Teh, Geoffrey E. Hinton
    Rate-coded Restricted Boltzmann Machines for Face Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:908-914 [Conf]
  51. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
    SMEM Algorithm for Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:599-605 [Conf]
  52. Max Welling, Geoffrey E. Hinton, Simon Osindero
    Learning Sparse Topographic Representations with Products of Student-t Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1359-1366 [Conf]
  53. Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
    Exponential Family Harmoniums with an Application to Information Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  54. Max Welling, Richard S. Zemel, Geoffrey E. Hinton
    Self Supervised Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:665-672 [Conf]
  55. Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton
    Using a neural net to instantiate a deformable model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:965-972 [Conf]
  56. Lei Xu, Michael I. Jordan, Geoffrey E. Hinton
    An Alternative Model for Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:633-640 [Conf]
  57. Richard S. Zemel, Geoffrey E. Hinton
    Discovering Viewpoint-Invariant Relationships That Characterize Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:299-305 [Conf]
  58. Richard S. Zemel, Geoffrey E. Hinton
    Developing Population Codes by Minimizing Description Length. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:11-18 [Conf]
  59. Richard S. Zemel, Michael Mozer, Geoffrey E. Hinton
    TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:266-273 [Conf]
  60. Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
    NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models. [Citation Graph (0, 0)][DBLP]
    SIGGRAPH, 1998, pp:9-20 [Conf]
  61. Geoffrey E. Hinton, Yee Whye Teh
    Discovering Multiple Constraints that are Frequently Approximately Satisfied. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:227-234 [Conf]
  62. Max Welling, Richard S. Zemel, Geoffrey E. Hinton
    Efficient Parametric Projection Pursuit Density Estimation. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:575-582 [Conf]
  63. Geoffrey E. Hinton
    Connectionist Symbol Processing - Preface. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1990, v:46, n:1-2, pp:1-4 [Journal]
  64. Geoffrey E. Hinton
    Mapping Part-Whole Hierarchies into Connectionist Networks. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1990, v:46, n:1-2, pp:47-75 [Journal]
  65. Fiora Pirri, Geoffrey E. Hinton, Hector J. Levesque
    In Memory of Ray Reiter (1939-2002). [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:4, pp:93- [Journal]
  66. Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton
    Local Physical Models for Interactive Character Animation. [Citation Graph (0, 0)][DBLP]
    Comput. Graph. Forum, 2002, v:21, n:3, pp:- [Journal]
  67. Brendan J. Frey, Geoffrey E. Hinton
    Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1997, v:40, n:2/3, pp:157-165 [Journal]
  68. David S. Touretzky, Geoffrey E. Hinton
    A Distributed Connectionist Production System. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1988, v:12, n:3, pp:423-466 [Journal]
  69. Scott E. Fahlman, Geoffrey E. Hinton
    Connectionist Architectures for Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1987, v:20, n:1, pp:100-109 [Journal]
  70. Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton
    Instantiating Deformable Models with a Neural Net. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1997, v:68, n:1, pp:120-126 [Journal]
  71. Brian Sallans, Geoffrey E. Hinton
    Reinforcement Learning with Factored States and Actions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1063-1088 [Journal]
  72. Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
    Energy-Based Models for Sparse Overcomplete Representations. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1235-1260 [Journal]
  73. Peter Dayan, Geoffrey E. Hinton
    Using Expectation-Maximization for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:271-278 [Journal]
  74. Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
    The Helmholtz machine. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:5, pp:889-904 [Journal]
  75. Brendan J. Frey, Geoffrey E. Hinton
    Variational Learning in Nonlinear Gaussian Belief Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:1, pp:193-213 [Journal]
  76. Zoubin Ghahramani, Geoffrey E. Hinton
    Variational Learning for Switching State-Space Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:4, pp:831-864 [Journal]
  77. Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh
    A Fast Learning Algorithm for Deep Belief Nets. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:7, pp:1527-1554 [Journal]
  78. Geoffrey E. Hinton
    Training Products of Experts by Minimizing Contrastive Divergence. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:8, pp:1771-1800 [Journal]
  79. Sageev Oore, Geoffrey E. Hinton, Gregory Dudek
    A Mobile Robot that Learns its Place. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:3, pp:683-699 [Journal]
  80. Simon Osindero, Max Welling, Geoffrey E. Hinton
    Topographic Product Models Applied to Natural Scene Statistics. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:2, pp:381-414 [Journal]
  81. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
    SMEM Algorithm for Mixture Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:9, pp:2109-2128 [Journal]
  82. Peter Dayan, Geoffrey E. Hinton
    Varieties of Helmholtz Machine. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1385-1403 [Journal]
  83. Kevin J. Lang, Alex Waibel, Geoffrey E. Hinton
    A time-delay neural network architecture for isolated word recognition. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1990, v:3, n:1, pp:23-43 [Journal]
  84. Roland Memisevic, Geoffrey E. Hinton
    Improving dimensionality reduction with spectral gradient descent. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:702-710 [Journal]
  85. Guy Mayraz, Geoffrey E. Hinton
    Recognizing Handwritten Digits Using Hierarchical Products of Experts. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:2, pp:189-197 [Journal]
  86. Michael Revow, Christopher K. I. Williams, Geoffrey E. Hinton
    Using Generative Models for Handwritten Digit Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:6, pp:592-606 [Journal]
  87. Alberto Paccanaro, Geoffrey E. Hinton
    Learning Distributed Representations of Concepts Using Linear Relational Embedding. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2001, v:13, n:2, pp:232-244 [Journal]
  88. Roland Memisevic, Geoffrey E. Hinton
    Unsupervised Learning of Image Transformations. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  89. Andriy Mnih, Geoffrey E. Hinton
    Three new graphical models for statistical language modelling. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:641-648 [Conf]
  90. Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton
    Restricted Boltzmann machines for collaborative filtering. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:791-798 [Conf]
  91. Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
    Modeling Human Motion Using Binary Latent Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1345-1352 [Conf]

  92. Improving a statistical language model by modulating the effects of context words. [Citation Graph (, )][DBLP]


  93. Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. [Citation Graph (, )][DBLP]


  94. Workshop summary: Workshop on learning feature hierarchies. [Citation Graph (, )][DBLP]


  95. Factored conditional restricted Boltzmann Machines for modeling motion style. [Citation Graph (, )][DBLP]


  96. Using fast weights to improve persistent contrastive divergence. [Citation Graph (, )][DBLP]


  97. Rectified Linear Units Improve Restricted Boltzmann Machines. [Citation Graph (, )][DBLP]


  98. Modeling image patches with a directed hierarchy of Markov random fields. [Citation Graph (, )][DBLP]


  99. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes. [Citation Graph (, )][DBLP]


  100. Using matrices to model symbolic relationship. [Citation Graph (, )][DBLP]


  101. Generative versus discriminative training of RBMs for classification of fMRI images. [Citation Graph (, )][DBLP]


  102. Implicit Mixtures of Restricted Boltzmann Machines. [Citation Graph (, )][DBLP]


  103. The Recurrent Temporal Restricted Boltzmann Machine. [Citation Graph (, )][DBLP]


  104. A Scalable Hierarchical Distributed Language Model. [Citation Graph (, )][DBLP]


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