Machine Reasoning Professors in Global

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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
computational modeling
neural networks
deep learning
natural language processing
data mining
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Satish Thittamaranahalli
University of Southern California United States of America
probabilistic reasoning
machine learning
model-based reasoning
constraint reasoning
spatio-temporal reasoning
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Rajesh Ranganath
New York University United States of America
machine learning
probabilistic inference
statistical inference
causal inference
deep generative modeling
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Thomas Icard
Stanford University United States of America
automated reasoning
probabilistic reasoning
machine learning
causal inference
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Can Mekik
University of Toronto Canada
relational reasoning
logical reasoning
analogical reasoning
cognitive modeling
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Ken Forbus
Northwestern University United States of America
spatial reasoning
qualitative reasoning
analogical reasoning
reasoning system design
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Lucio Soibelman
University of Southern California United States of America
machine learning
image reasoning
multi-reasoning mechanisms
data mining
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Luke Miller
Radboud University Netherlands
machine learning
neural network modeling
computational modeling
neural computations
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
bayesian inference
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Kin-choong Yow
University of Regina Canada
machine learning
commonsense reasoning
deep learning
pattern recognition
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J.c. Scholtes
Maastricht University Netherlands
machine learning
machine translation
natural language processing
speech recognition
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Charles Kemp
University of Melbourne Australia
reasoning
causal reasoning
natural language processing
relational learning
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John Doe
University of Wisconsin–Madison United States of America
machine learning
neural networks
deep learning
natural language processing
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Eldan Cohen
University of Toronto Canada
machine learning
deep learning
natural language processing
data mining
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Nicolas Le Roux
University of Montreal Canada
machine learning
neural networks
deep learning
statistical modeling
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
data mining
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Samir Maity
Aalborg University Denmark
machine learning
predictive modeling
language modeling
deep learning
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John Doe
University of Wisconsin–Madison United States of America
machine learning
predictive modeling
deep learning
natural language processing
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Abhishek Chakrabortty
Texas A&M University United States of America
machine learning
statistical inference
bayesian inference
causal inference
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Oana Cocarascu
King's College London United Kingdom
machine learning
argument mining
natural language processing
symbolic reasoning
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John Doe
KU Leuven Belgium
machine learning
neural networks
deep learning
natural language processing
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