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Daniel Le Ly

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2010 – 2019

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2014
[j3]
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  - journals/tec/LyL14
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  - https://dblp.org/rec/journals/tec/LyL14
Daniel Le Ly, Hod Lipson:
Optimal Experiment Design for Coevolutionary Active Learning. IEEE Trans. Evol. Comput. 18(3): 394-404 (2014)
2012
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  - journals/jmlr/LyL12
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Daniel Le Ly, Hod Lipson:
Learning symbolic representations of hybrid dynamical systems. J. Mach. Learn. Res. 13: 3585-3618 (2012)
[c5]
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  - conf/gecco/LySL12
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Daniel Le Ly, Ashutosh Saxena, Hod Lipson:
Co-evolutionary predictors for kinematic pose inference from RGBD images. GECCO 2012: 967-974
2011
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  - conf/cec/LyL11
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Daniel Le Ly, Hod Lipson:
Trainer selection strategies for coevolving rank predictors. IEEE Congress on Evolutionary Computation 2011: 2399-2406
[i1]
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  - journals/corr/abs-1106-5341
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Daniel Le Ly, Ashutosh Saxena, Hod Lipson:
Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons. CoRR abs/1106.5341 (2011)
2010
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  - journals/tnn/LyC10
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Daniel Le Ly, Paul Chow:
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines. IEEE Trans. Neural Networks 21(11): 1780-1792 (2010)

2000 – 2009

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2009
[c3]
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Daniel Le Ly, Paul Chow:
A high-performance FPGA architecture for restricted boltzmann machines. FPGA 2009: 73-82
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Daniel Le Ly, Paul Chow:
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines. FPL 2009: 168-173
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  - conf/fpt/LySC09
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Daniel Le Ly, Manuel Saldaña, Paul Chow:
The challenges of using an embedded MPI for hardware-based processing nodes. FPT 2009: 120-127

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