Energy Efficient Deep Learning Professors in Global

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Jiaqi Gu
Arizona State University China
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energy-efficient computing
efficient algorithm
efficient ai hardware design
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Annelie Carlson
Linköping University Sweden
energy efficiency
resource efficiency
cost efficiency
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Pengju Liu
Umeå University Sweden
energy efficiency
energy system optimization
energy modeling
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Benjamin Lee
University of Pennsylvania United States of America
energy efficiency
performance optimization
sustainable artificial intelligence
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
robustness of deep neural networks
bayesian deep learning
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Andrea Coraddu
Delft University of Technology Netherlands
energy optimization
energy consumption reduction
intelligent sustainable energy systems
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
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Robert Nowak
University of Wisconsin–Madison United States of America
data-efficient machine learning
deep learning
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Kilian Weinberger
Cornell University Netherlands
resource efficient learning
deep learning
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Abdullah Alelyani
University of Western Australia Australia
deep learning
energy use efficiency
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Yunzhong Hou
Australian National University Australia
deep learning
efficient ai
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Henrik Mølbak Frederiksen
Aalborg University Denmark
energy efficient continual learning
reliable machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
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Nina Taherimakhsousi
University of Victoria Canada
deep learning
deep reinforcement learning
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Chaoyue Liu
Purdue University United States of America
deep learning
deep learning theory
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Ivan Kantor
Concordia University Canada
energy efficiency
energy optimization
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
accelerated deep learning
deep reinforcement learning
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Patryk Rygiel
University of Twente Netherlands
deep learning
geometric deep learning
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
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