Automated Probabilistic Model Discovery Professors in Global

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David Parker
University of Oxford United Kingdom
probabilistic model checking
probabilistic verification
automated verification
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David Van Leeuwen
Radboud University Netherlands
automatic speech recognition
automatic language recognition
automatic speaker recognition
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Feras Saad
Carnegie Mellon University United States of America
automated probabilistic model discovery
probabilistic programming
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Moez Ali
Queen's University Canada
automated modeling
automated machine learning
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Vijay Ganesh
Georgia Institute of Technology United States of America
automated scientific discovery
automated reasoning
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Hessam Mehr
University of Glasgow United Kingdom
automated chemical discovery
probabilistic logic techniques applied to discovery
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
automated reasoning
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Yevgen Zainchkovskyy
Technical University of Denmark Denmark
automatic guided drug discovery
probabilistic generative models
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Frank Wood
University of British Columbia Canada
applied probabilistic machine learning
probabilistic programming
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Arie Gurfinkel
University of Waterloo Canada
automated program analysis
automated reasoning
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
applied machine learning
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Mingyuan Zhou
University of Texas at Austin United States of America
probabilistic machine learning
approximate inference
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Anders Bæk-petersen
University of Southern Denmark Denmark
automated decision making
mathematical modelling
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Robert Boyer
University of Texas at Austin United States of America
automated theorem proving
automated reasoning
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Pang-ning Tan
Michigan State University United States of America
pattern discovery
predictive modeling
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Leman Akoglu
Carnegie Mellon University United States of America
pattern discovery
knowledge discovery
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Leman Akoglu
Carnegie Mellon University United States of America
pattern discovery
anomaly detection
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Charbel Farhat
Stanford University United States of America
probabilistic machine learning
mathematical models
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Theo Damoulas
University of Warwick United Kingdom
probabilistic machine learning
approximate inference methodologies
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