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Binary Reverse Engineering
Binary Reverse Engineering Professors in Global
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Professor
Merve Bodur
University of Edinburgh
United Kingdom
inverse optimization
machine learning
combinatorial optimization
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Professor
Nima Anari
Stanford University
United States of America
machine learning
randomized algorithms
combinatorial optimization
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Professor
Yingfei Wang
University of Washington
United States of America
machine learning
bayesian optimization
deep learning
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Professor
Garrett Morris
University of Oxford
United Kingdom
machine learning
bayesian optimization
deep learning
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Professor
Earl Bellinger
Yale University
United States of America
machine learning
stellar binaries
deep learning
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Professor
Ferenc Huszár
University of Cambridge
United Kingdom
machine learning
bayesian machine learning
deep learning
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Professor
Geoff Pleiss
University of British Columbia
Canada
machine learning
bayesian optimization
probabilistic machine learning
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Professor
Yee Teh
University of Oxford
United Kingdom
machine learning
large scale machine learning
deep learning
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Professor
Daniel Roy
University of Toronto
Canada
No active positions
machine learning
deep learning
probabilistic programming
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Professor
Tom Rainforth
University of Oxford
United Kingdom
bayesian experimental design
deep learning
probabilistic programming
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Professor
Saman Zonouz
Georgia Institute of Technology
United States of America
reverse engineering
binary analysis
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Professor
Nevena Ranković
Tilburg University
Netherlands
reverse engineering
machine learning
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Professor
Vicky Kalogera
Northwestern University
United States of America
binary systems
machine learning
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Professor
Matthias Bickel
ETH Zurich
Switzerland
inverse optimization
inverse reinforcement learning
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Professor
Stefan Haufe
Technical University of Berlin
Germany
inverse modelling
machine learning
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Professor
Prashant Singh
Uppsala University
Sweden
inverse modeling
machine learning
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Professor
Thomas Tauris
Aalborg University
Denmark
binary systems
x-ray binaries
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Professor
John Veitch
University of Glasgow
United Kingdom
binary black holes
machine learning
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Professor
Dawn Song
University of California, Berkeley
United States of America
binary vulnerability detection
machine learning
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Professor
Katelyn Breivik
Carnegie Mellon University
United States of America
binary star systems
binary population synthesis
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Professor
Akhil Datta-gupta
Texas A&M University
United States of America
inverse modeling
large-scale parameter estimation inverse methods
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