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Jelmer Neeven

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2020 – today

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2021
[c3]
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  - electronic edition @ mlsys.org (open access)
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Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen:
Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks. MLSys 2021
2020
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  - journals/corr/abs-2011-09398
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Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen:
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks. CoRR abs/2011.09398 (2020)

2010 – 2019

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2019
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  - conf/bnaic/Neeven19
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Jelmer Neeven:
Iterative Model-Based Transfer in Deep Reinforcement Learning. BNAIC/BENELEARN 2019
2018
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  - conf/copa/NeevenS18
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Jelmer Neeven, Evgueni N. Smirnov:
Conformal stacked weather forecasting. COPA 2018: 220-233

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