Reverse Differentiation Professors in Global

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Sonya Clegg
University of Oxford United Kingdom
genetic differentiation
behavioral differentiation
ecological differentiation
morphological differentiation
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Wenyuan Liao
University of Calgary Canada
inverse modeling
inverse problems
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Matthias Bickel
ETH Zurich Switzerland
inverse optimization
inverse reinforcement learning
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Martijn Van Beurden
Eindhoven University of Technology Belgium
inverse scattering
inverse problems
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Katy Tant
University of Glasgow United Kingdom
inverse problems
data-driven inverse problems
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Kris Kitani
Carnegie Mellon University United States of America
inverse reinforcement learning
deep learning
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Gabriel Paternain
University of Washington United States of America
inverse problems
differential geometry
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Zakhar Shumaylov
University of Cambridge United Kingdom
inverse problems
deep learning
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Christoph Brune
University of Twente Netherlands
inverse problems
deep learning
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Adrian Nachman
University of Toronto Canada
inverse problems
deep learning
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Alexander Wittig
University of Southampton United Kingdom
differential algebra
high order automatic differentiation
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Georgios Arvanitidis
Technical University of Denmark Denmark
differential geometry
deep learning
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Ali Ghodsi
University of Waterloo Canada
dimensionality reduction
deep learning
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Sergey Ovchinnikov
Massachusetts Institute of Technology United States of America
differentiable programming
deep learning
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Naveed Akhtar
University of Western Australia Australia
adversarial machine learning
deep learning
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Arson Lab
Cornell University Netherlands
deep learning
model reduction
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Benedict Eastaugh
University of Warwick United Kingdom
reverse mathematics
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Charles Harris
University of Bristol United Kingdom
reverse mathematics
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Sam Pagliarini
Carnegie Mellon University United States of America
reverse engineering
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Jill Urbanic
University of Windsor Canada
reverse engineering
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Adam Blatchley Hansen
Aarhus University Denmark
reverse engineering
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