Temporal Machine Learning Professors in Global

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Flora Salim
University of New South Wales Australia
multimodal machine learning
trustworthy machine learning
spatio-temporal data
robust machine learning
behavioral modelling
time-series data
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
computational statistical machine learning
deep learning
statistical learning theory
computational learning theory
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Geoff Webb
Monash University Australia
machine learning
ensemble machine learning
interactive machine learning
time series classifiers
bayesian machine learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
dynamical systems machine learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
interactive machine learning
structured machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
probabilistic learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
causal machine learning
statistical learning theory
probabilistic modeling
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Sanne Ten Oever
Maastricht University Netherlands
temporal processing
temporal prediction
temporal dynamics
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Danica Sutherland
University of British Columbia Canada
theoretical machine learning
statistical machine learning
machine learning
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Jyo Deshmukh
University of Southern California United States of America
real-time temporal logics
machine learning
time-series data analysis
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Jyotirmoy Deshmukh
University of Southern California United States of America
real-time temporal logics
machine learning
time-series data analysis
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Jyotirmoy Deshmukh
University of Southern California United States of America
real-time temporal logics
machine learning
time-series data analysis
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Fei Song
University of Guelph Canada
temporal analysis
machine learning
topic modeling
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Howard Hamilton
University of Regina Canada
machine learning
temporal representation reasoning
time series forecasting
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
deep learning
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Magnus Ross
University College London United Kingdom
machine learning
probabilistic machine learning
time series forecasting
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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
statistical relational learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning theory
machine learning algorithms
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Isak Samsten
Stockholm University Sweden
temporal data
machine learning
time series analysis
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Sirisha Rambhatla
University of Waterloo Canada
machine learning
spatiotemporal data analysis
deep learning
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