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Network Causal Inference
Network Causal Inference Professors in Global
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Professor
Biwei Huang
University of California, San Diego
United States of America
causal inference
automated causal discovery
machine learning
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Professor
Yonghan Jung
University of Illinois
United States of America
causal inference
causal data science
machine learning
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Professor
Yixin Wang
University of Michigan
United States of America
causal inference
probabilistic generative modeling
machine learning
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Professor
Samrachana Adhikari
New York University
United States of America
causal inference
predictive modeling
machine learning
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Professor
Nathan Kallus
Cornell University
Netherlands
causal inference
machine learning
network science
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Professor
Guang Cheng
Purdue University
United States of America
high dimensional statistical inferences
semi-nonparametric inferences
machine learning
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Professor
John Oommen
Carleton University
Canada
neural networks
pattern recognition
statistical pattern recognition
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Professor
Keith Jenkins
University of Southern California
United States of America
neural networks
pattern recognition
machine learning
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Professor
D.m.j. Tax
Delft University of Technology
Netherlands
neural networks
pattern recognition
machine learning
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Professor
Pascal Vincent
University of Montreal
Canada
neural networks
pattern recognition
machine learning
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Professor
Nikolai Kühne
Aalborg University
Denmark
neural networks
sequence modelling
machine learning
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Professor
Gerasimos Spanakis
Maastricht University
Netherlands
neural networks
computational modeling
machine learning
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Professor
Jaime Ide
Yale University
United States of America
pattern recognition
predictive modeling
machine learning
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Professor
Ioannis Paschalidis
Boston University
United States of America
network optimization
predictive modeling
machine learning
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Professor
Roland Goecke
University of New South Wales
Australia
pattern recognition
machine learning
computational behaviour analysis
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Professor
Sanjeev Kulkarni
Princeton University
United States of America
statistical pattern recognition
machine learning
sensor networks
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Professor
Mohammed Abuibaid
Carleton University
Canada
network optimization
machine learning
in-network processing
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Professor
Christopher Brinton
Purdue University
United States of America
network optimization
machine learning
social learning networks
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Professor
Mahdi Khodayar
The University of Tulsa
Iran
No active positions
statistical pattern recognition
machine learning
deep neural networks
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Professor
Carlo Fischione
KTH Royal Institute of Technology
Sweden
machine learning
networked artificial intelligence
communication networks
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Professor
Konstantin Zuev
California Institute of Technology
United States of America
network models
complex networks
network resilience
network science
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