Large Scale Neural Modelling Professors in Global

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Nikolai Kühne
Aalborg University Denmark
large language models
sequence modelling
neural networks
machine learning
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Luke Miller
Radboud University Netherlands
neural network modeling
computational modeling
neural computations
machine learning
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Till Bretschneider
University of Warwick United Kingdom
neural networks
generative modeling
image-based modeling
machine learning
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Chris Eliasmith
University of Waterloo Canada
large-scale neural modelling
neural networks
neural computing
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Cemal Erdem
Umeå University Sweden
large-scale mechanistic modelling
mathematical modeling
machine learning
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
statistical modeling
machine learning
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale graph mining
large-scale communication systems
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Sid Banerjee
Cornell University Netherlands
large-scale systems
stochastic modeling
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
large language models
neural networks
machine learning
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Jasmin Coulombe-huntington
McGill University Canada
network-based modelling
large-scale data integration
machine learning
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Jaime Ide
Yale University United States of America
theoretical modeling
predictive modeling
machine learning
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Nicolas Le Roux
University of Montreal Canada
neural networks
statistical modeling
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
machine learning
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Gerasimos Spanakis
Maastricht University Netherlands
computational modeling
neural networks
machine learning
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Aurel Lazar
Columbia University United States of America
massively parallel neural computation
neural computing
machine learning
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Nazim Khan
University of Western Australia Australia
stochastic modelling
time series modelling
multilevel modelling
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Kamal Hossain
University of Melbourne Australia
computational modeling
statistical modeling
machine learning
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Sepehr Assadi
University of Waterloo Canada
big data analysis
massive datasets
massively parallel computation
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Philipp Otto
University of Glasgow United Kingdom
network modelling
big geospatial data
machine learning
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
machine learning
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