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Geoffrey E. Hinton Vis

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*2009
111EEGraham W. Taylor, Geoffrey E. Hinton: Factored conditional restricted Boltzmann Machines for modeling motion style. ICML 2009: 129
110EETijmen Tieleman, Geoffrey E. Hinton: Using fast weights to improve persistent contrastive divergence. ICML 2009: 130
109EEKay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio: Workshop summary: Workshop on learning feature hierarchies. ICML 2009: 165
108EERuslan Salakhutdinov, Geoffrey E. Hinton: Semantic hashing. Int. J. Approx. Reasoning 50(7): 969-978 (2009)
107EEAndriy Mnih, Zhang Yuecheng, Geoffrey E. Hinton: Improving a statistical language model through non-linear prediction. Neurocomputing 72(7-9): 1414-1418 (2009)
106EEGeoffrey E. Hinton: Deep belief networks. Scholarpedia 4(5): 5947 (2009)
2008
105EEZhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton: Improving a statistical language model by modulating the effects of context words. ESANN 2008: 493-498
104EEVinod Nair, Josh Susskind, Geoffrey E. Hinton: Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. ICANN (1) 2008: 971-981
103EEAndriy Mnih, Geoffrey E. Hinton: A Scalable Hierarchical Distributed Language Model. NIPS 2008: 1081-1088
102EEVinod Nair, Geoffrey E. Hinton: Implicit Mixtures of Restricted Boltzmann Machines. NIPS 2008: 1145-1152
101EETanya Schmah, Geoffrey E. Hinton, Richard S. Zemel, Steven L. Small, Stephen C. Strother: Generative versus discriminative training of RBMs for classification of fMRI images. NIPS 2008: 1409-1416
100EEIlya Sutskever, Geoffrey E. Hinton: Using matrices to model symbolic relationship. NIPS 2008: 1593-1600
99EEIlya Sutskever, Geoffrey E. Hinton, Graham W. Taylor: The Recurrent Temporal Restricted Boltzmann Machine. NIPS 2008: 1601-1608
98EEIlya Sutskever, Geoffrey E. Hinton: Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. Neural Computation 20(11): 2629-2636 (2008)
2007
97EERoland Memisevic, Geoffrey E. Hinton: Unsupervised Learning of Image Transformations. CVPR 2007
96EEAndriy Mnih, Geoffrey E. Hinton: Three new graphical models for statistical language modelling. ICML 2007: 641-648
95EERuslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton: Restricted Boltzmann machines for collaborative filtering. ICML 2007: 791-798
94EESimon Osindero, Geoffrey E. Hinton: Modeling image patches with a directed hierarchy of Markov random fields. NIPS 2007
93EERuslan Salakhutdinov, Geoffrey E. Hinton: Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes. NIPS 2007
92EEGeoffrey E. Hinton: Boltzmann machine. Scholarpedia 2(5): 1668 (2007)
2006
91EEGraham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis: Modeling Human Motion Using Binary Latent Variables. NIPS 2006: 1345-1352
90EESimon Osindero, Max Welling, Geoffrey E. Hinton: Topographic Product Models Applied to Natural Scene Statistics. Neural Computation 18(2): 381-414 (2006)
89EEGeoffrey E. Hinton, Simon Osindero, Yee Whye Teh: A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18(7): 1527-1554 (2006)
2005
88EEGeoffrey E. Hinton: What kind of graphical model is the brain? IJCAI 2005: 1765-
87EEGeoffrey E. Hinton, Vinod Nair: Inferring Motor Programs from Images of Handwritten Digits. NIPS 2005
86EERoland Memisevic, Geoffrey E. Hinton: Improving dimensionality reduction with spectral gradient descent. Neural Networks 18(5-6): 702-710 (2005)
2004
85EEMax Welling, Michal Rosen-Zvi, Geoffrey E. Hinton: Exponential Family Harmoniums with an Application to Information Retrieval. NIPS 2004
84EERoland Memisevic, Geoffrey E. Hinton: Multiple Relational Embedding. NIPS 2004
83EEJacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004
82EEBrian Sallans, Geoffrey E. Hinton: Reinforcement Learning with Factored States and Actions. Journal of Machine Learning Research 5: 1063-1088 (2004)
2003
81EEGeoffrey E. Hinton, Max Welling, Andriy Mnih: Wormholes Improve Contrastive Divergence. NIPS 2003
80 Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Efficient Parametric Projection Pursuit Density Estimation. UAI 2003: 575-582
79EEYee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton: Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research 4: 1235-1260 (2003)
2002
78EESageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton: A Desktop Input Device and Interface for Interactive 3D Character Animation. Graphics Interface 2002: 133-140
77EEMax Welling, Geoffrey E. Hinton: A New Learning Algorithm for Mean Field Boltzmann Machines. ICANN 2002: 351-357
76EEMax Welling, Geoffrey E. Hinton, Simon Osindero: Learning Sparse Topographic Representations with Products of Student-t Distributions. NIPS 2002: 1359-1366
75EEMax Welling, Richard S. Zemel, Geoffrey E. Hinton: Self Supervised Boosting. NIPS 2002: 665-672
74EEGeoffrey E. Hinton, Sam T. Roweis: Stochastic Neighbor Embedding. NIPS 2002: 833-840
73 Fiora Pirri, Geoffrey E. Hinton, Hector J. Levesque: In Memory of Ray Reiter (1939-2002). AI Magazine 23(4): 93 (2002)
72EESageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton: Local Physical Models for Interactive Character Animation. Comput. Graph. Forum 21(3): (2002)
71EEGuy Mayraz, Geoffrey E. Hinton: Recognizing Handwritten Digits Using Hierarchical Products of Experts. IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 189-197 (2002)
70EEGeoffrey E. Hinton: Training Products of Experts by Minimizing Contrastive Divergence. Neural Computation 14(8): 1771-1800 (2002)
2001
69EEAndrew D. Brown, Geoffrey E. Hinton: Relative Density Nets: A New Way to Combine Backpropagation with HMM's. NIPS 2001: 1149-1156
68EEAlberto Paccanaro, Geoffrey E. Hinton: Learning Hierarchical Structures with Linear Relational Embedding. NIPS 2001: 857-864
67EESam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896
66EEGeoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI 2001: 227-234
65EEAlberto Paccanaro, Geoffrey E. Hinton: Learning Distributed Representations of Concepts Using Linear Relational Embedding. IEEE Trans. Knowl. Data Eng. 13(2): 232-244 (2001)
2000
64 Geoffrey E. Hinton: Modeling High-Dimensional Data by Combining Simple Experts. AAAI/IAAI 2000: 1159-1164
63 Alberto Paccanaro, Geoffrey E. Hinton: Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. ICML 2000: 711-718
62EEAlberto Paccanaro, Geoffrey E. Hinton: Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. IJCNN (2) 2000: 259-264
61 Brian Sallans, Geoffrey E. Hinton: Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task. NIPS 2000: 1075-1081
60 Yee Whye Teh, Geoffrey E. Hinton: Rate-coded Restricted Boltzmann Machines for Face Recognition. NIPS 2000: 908-914
59 Guy Mayraz, Geoffrey E. Hinton: Recognizing Hand-written Digits Using Hierarchical Products of Experts. NIPS 2000: 953-959
58 Zoubin Ghahramani, Geoffrey E. Hinton: Variational Learning for Switching State-Space Models. Neural Computation 12(4): 831-864 (2000)
57 Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. Neural Computation 12(9): 2109-2128 (2000)
56EENaonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. VLSI Signal Processing 26(1-2): 133-140 (2000)
1999
55EEGeoffrey E. Hinton, Andrew D. Brown: Spiking Boltzmann Machines. NIPS 1999: 122-128
54EEGeoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh: Learning to Parse Images. NIPS 1999: 463-469
53 Brendan J. Frey, Geoffrey E. Hinton: Variational Learning in Nonlinear Gaussian Belief Networks. Neural Computation 11(1): 193-213 (1999)
1998
52EENaonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605
51EERadek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton: Fast Neural Network Emulation of Dynamical Systems for Computer Animation. NIPS 1998: 882-888
50EERadek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton: NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models. SIGGRAPH 1998: 9-20
49EES. Sidney Fels, Geoffrey E. Hinton: Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls. IEEE Transactions on Neural Networks 9(1): 205-212 (1998)
1997
48 Zoubin Ghahramani, Geoffrey E. Hinton: Hierarchical Non-linear Factor Analysis and Topographic Maps. NIPS 1997
47 Brendan J. Frey, Geoffrey E. Hinton: Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model. Comput. J. 40(2/3): 157-165 (1997)
46EEChristopher K. I. Williams, Michael Revow, Geoffrey E. Hinton: Instantiating Deformable Models with a Neural Net. Computer Vision and Image Understanding 68(1): 120-126 (1997)
45EEPeter Dayan, Geoffrey E. Hinton: Using Expectation-Maximization for Reinforcement Learning. Neural Computation 9(2): 271-278 (1997)
44EESageev Oore, Geoffrey E. Hinton, Gregory Dudek: A Mobile Robot that Learns its Place. Neural Computation 9(3): 683-699 (1997)
1996
43 Brendan J. Frey, Geoffrey E. Hinton: Free Energy Coding. Data Compression Conference 1996: 73-81
42EEMichael Revow, Christopher K. I. Williams, Geoffrey E. Hinton: Using Generative Models for Handwritten Digit Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 18(6): 592-606 (1996)
41EEPeter Dayan, Geoffrey E. Hinton: Varieties of Helmholtz Machine. Neural Networks 9(8): 1385-1403 (1996)
1995
40 Sidney Fels, Geoffrey E. Hinton: GloveTalkII: An Adaptive Gesture-to-Formant Interface. CHI 1995: 456-463
39EEGeoffrey E. Hinton, Michael Revow: Using Pairs of Data-Points to Define Splits for Decision Trees. NIPS 1995: 507-513
38EEBrendan J. Frey, Geoffrey E. Hinton, Peter Dayan: Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS 1995: 661-667
37EEPeter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
1994
36EEGeoffrey E. Hinton, Michael Revow, Peter Dayan: Recognizing Handwritten Digits Using Mixtures of Linear Models. NIPS 1994: 1015-1022
35EELei Xu, Michael I. Jordan, Geoffrey E. Hinton: An Alternative Model for Mixtures of Experts. NIPS 1994: 633-640
34EESidney Fels, Geoffrey E. Hinton: Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks. NIPS 1994: 843-850
33EEChristopher K. I. Williams, Michael Revow, Geoffrey E. Hinton: Using a neural net to instantiate a deformable model. NIPS 1994: 965-972
1993
32EEGeoffrey E. Hinton, Drew van Camp: Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights. COLT 1993: 5-13
31EERichard S. Zemel, Geoffrey E. Hinton: Developing Population Codes by Minimizing Description Length. NIPS 1993: 11-18
30EEGeoffrey E. Hinton, Richard S. Zemel: Autoencoders, Minimum Description Length and Helmholtz Free Energy. NIPS 1993: 3-10
29EESuzanna Becker, Geoffrey E. Hinton: Learning Mixture Models of Spatial Coherence. Neural Computation 5(2): 267-277 (1993)
1992
28EEPeter Dayan, Geoffrey E. Hinton: Feudal Reinforcement Learning. NIPS 1992: 271-278
1991
27EESuzanna Becker, Geoffrey E. Hinton: Learning to Make Coherent Predictions in Domains with Discontinuities. NIPS 1991: 372-379
26EEGeoffrey E. Hinton, Christopher K. I. Williams, Michael Revow: Adaptive Elastic Models for Hand-Printed Character Recognition. NIPS 1991: 512-519
25EESteven J. Nowlan, Geoffrey E. Hinton: Adaptive Soft Weight Tying using Gaussian Mixtures. NIPS 1991: 993-1000
1990
24 Sidney Fels, Geoffrey E. Hinton: Building adaptive interfaces with neural networks: The glove-talk pilot study. INTERACT 1990: 683-688
23EERichard S. Zemel, Geoffrey E. Hinton: Discovering Viewpoint-Invariant Relationships That Characterize Objects. NIPS 1990: 299-305
22EESteven J. Nowlan, Geoffrey E. Hinton: Evaluation of Adaptive Mixtures of Competing Experts. NIPS 1990: 774-780
21 Geoffrey E. Hinton: Connectionist Symbol Processing - Preface. Artif. Intell. 46(1-2): 1-4 (1990)
20 Geoffrey E. Hinton: Mapping Part-Whole Hierarchies into Connectionist Networks. Artif. Intell. 46(1-2): 47-75 (1990)
19EEKevin J. Lang, Alex Waibel, Geoffrey E. Hinton: A time-delay neural network architecture for isolated word recognition. Neural Networks 3(1): 23-43 (1990)
1989
18EEKevin J. Lang, Geoffrey E. Hinton: Dimensionality Reduction and Prior Knowledge in E-Set Recognition. NIPS 1989: 178-185
17EERichard S. Zemel, Michael Mozer, Geoffrey E. Hinton: TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS 1989: 266-273
16EEConrad C. Galland, Geoffrey E. Hinton: Discovering High Order Features with Mean Field Modules. NIPS 1989: 509-515
15 Geoffrey E. Hinton: Connectionist Learning Procedures. Artif. Intell. 40(1-3): 185-234 (1989)
1988
14EEYann LeCun, Conrad C. Galland, Geoffrey E. Hinton: GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection. NIPS 1988: 141-148
13 David S. Touretzky, Geoffrey E. Hinton: A Distributed Connectionist Production System. Cognitive Science 12(3): 423-466 (1988)
1987
12EEGeoffrey E. Hinton, James L. McClelland: Learning Representations by Recirculation. NIPS 1987: 358-366
11EEGeoffrey E. Hinton: Learning Translation Invariant Recognition in Massively Parallel Networks. PARLE (1) 1987: 1-13
10 Scott E. Fahlman, Geoffrey E. Hinton: Connectionist Architectures for Artificial Intelligence. IEEE Computer 20(1): 100-109 (1987)
1986
9 Drew V. McDermott, Geoffrey E. Hinton: Learning in Massively Parallel Nets (Panel). AAAI 1986: 1149
1985
8 David S. Touretzky, Geoffrey E. Hinton: Symbols Among the Neurons: Details of a Connectionist Inference Architecture. IJCAI 1985: 238-243
7 Geoffrey E. Hinton, Kevin J. Lang: Shape Recognition and Illusory Conjunctions. IJCAI 1985: 252-259
6 David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski: A Learning Algorithm for Boltzmann Machines. Cognitive Science 9(1): 147-169 (1985)
1983
5 Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski: Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI 1983: 109-113
1981
4 Geoffrey E. Hinton: Shape Representation in Parallel Systems. IJCAI 1981: 1088-1096
3 Geoffrey E. Hinton: A Parallel Computation that Assigns Canonical Object-Based Frames of Reference. IJCAI 1981: 683-685
1978
2 Aaron Sloman, David Owen, Geoffrey E. Hinton, Frank Birch, Frank O'Gorman: Representation and Control in Vision. AISB/GI (ECAI) 1978: 309-314
1976
1 Geoffrey E. Hinton: Using Relaxation to find a Puppet. AISB (ECAI) 1976: 148-157

Coauthor Index

1David H. Ackley [6]
2Suzanna Becker [27] [29]
3Yoshua Bengio [109]
4Frank Birch [2]
5Andrew D. Brown [55] [69]
6Drew van Camp [32]
7Peter Dayan [28] [36] [37] [38] [41] [45]
8Gregory Dudek [44]
9Scott E. Fahlman [5] [10]
10Sidney Fels (S. Sidney Fels) [24] [34] [40] [49]
11Brendan J. Frey [38] [43] [47] [53]
12Conrad C. Galland [14] [16]
13Zoubin Ghahramani [48] [52] [54] [56] [57] [58]
14Jacob Goldberger [83]
15Radek Grzeszczuk [50] [51]
16Michael I. Jordan [35]
17Kevin J. Lang [7] [18] [19]
18Yann LeCun [14] [109]
19Hector J. Levesque [73]
20Guy Mayraz [59] [71]
21James L. McClelland [12]
22Drew V. McDermott [9]
23Roland Memisevic [84] [86] [97]
24Andriy Mnih [81] [95] [96] [103] [105] [107]
25Michael C. Mozer (Michael Mozer) [17]
26Vinod Nair [87] [102] [104]
27Ryohei Nakano [52] [56] [57]
28Radford M. Neal [37]
29Steven J. Nowlan [22] [25]
30Frank O'Gorman [2]
31Sageev Oore [44] [72] [78]
32Simon Osindero [76] [79] [89] [90] [94]
33David Owen [2]
34Alberto Paccanaro [62] [63] [65] [68]
35Fiora Pirri [73]
36Michael Revow [26] [33] [36] [39] [42] [46]
37Michal Rosen-Zvi [85]
38Sam T. Roweis [67] [74] [83] [91]
39Ruslan Salakhutdinov [83] [93] [95] [108] [109]
40Brian Sallans [61] [82]
41Lawrence K. Saul [67]
42Tanya Schmah [101]
43Terrence J. Sejnowski [5] [6]
44Aaron Sloman [2]
45Steven L. Small [101]
46Stephen C. Strother [101]
47Josh Susskind [104]
48Ilya Sutskever [98] [99] [100]
49Graham W. Taylor [91] [99] [111]
50Yee Whye Teh [54] [60] [66] [79] [89]
51Demetri Terzopoulos [50] [51] [72] [78]
52Tijmen Tieleman [110]
53David S. Touretzky [8] [13]
54Naonori Ueda [52] [56] [57]
55Alex Waibel [19]
56Max Welling [75] [76] [77] [79] [80] [81] [85] [90]
57Christopher K. I. Williams [26] [33] [42] [46]
58Lei Xu [35]
59Kay Yu [109]
60Zhang Yuecheng [105] [107]
61Richard S. Zemel [17] [23] [30] [31] [37] [75] [80] [101]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)