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Pierre Sermanet
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A machine learning and robotics researcher / entrepreneur / engineer, who has applied learning techniques to a large array of problems, including computer vision, speech recognition, motion control and path planning.
I am the author of deep learning frameworks OverFeat and EBLearn.
I am the author of deep learning frameworks OverFeat and EBLearn.
Papers36 papers
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CVPR, pp.10384-10393, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 15578-15588
CoRR, (2019)
CoRL, pp.1113-1132, (2019)
CoRL, pp.1113-1132, (2019)
CVPR, (2019)
arXiv: Robotics, (2019)
CVPR Workshops, pp.1111-1116, (2018)
Pierre Sermanet, Corey Lynch,Yevgen Chebotar, Jasmine Hsu, Eric Jang,Stefan Schaal,Sergey Levine, Google Brain
ICRA, pp.1134-1141, (2018)
IROS, (2018)
international conference on learning representations, (2017)
CVPR Workshops, (2017)
Robotics: Science and Systems, (2017)
computer vision and pattern recognition, (2015)
(2014)
Cited by1Bibtex
international conference on learning representations, (2014)
international conference on pattern recognition, (2012): 3288-3291
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