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Arthur Steven Younger

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Conference and Workshop Papers

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2019
[c8]
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  - conf/ijcnn/ReddYO19
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Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi:
Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. IJCNN 2019: 1-8
2018
[c7]
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  - conf/ijcnn/NguyenYRO18
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Thy Nguyen, Arthur Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi:
Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization. IJCNN 2018: 1-8
2017
[c6]
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Emmett Redd, Arthur Steven Younger:
A Mathematical and Physical Base for "A Standard Model of the Mind". AAAI Fall Symposia 2017: 431-436
2014
[c5]
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  - conf/uc/YoungerRS14
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Arthur Steven Younger, Emmett Redd, Hava T. Siegelmann:
Development of Physical Super-Turing Analog Hardware. UCNC 2014: 379-391
2010
[c4]
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  - journals/corr/abs-1006-1434
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Arthur Steven Younger, Emmett Redd:
Computing by Means of Physics-Based Optical Neural Networks. DCM 2010: 159-167
2009
[c3]
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  - conf/ijcnn/YoungerR09
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Arthur Steven Younger, Emmett Redd:
Fixed-Weight learning Neural Networks on Optical Hardware. IJCNN 2009: 3457-3463
2008
[c2]
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  - conf/osc/YoungerR08
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Arthur Steven Younger, Emmett Redd:
Learning at the Speed of Light: A New Type of Optical Neural Network. OSC 2008: 104-114
2005
[c1]
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Arthur Steven Younger, Emmett Redd:
Design of an optical fixed-weight learning neural network. IJCNN 2005: 610-615

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