Iterative Decoding Professors in Global

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Federico De Martino
Maastricht University Netherlands
decoding
predictive coding
encoding
machine learning
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
natural language processing
computational modeling
deep learning
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Sardar Ansari
University of Michigan Medical School United States of America
machine learning
image processing
natural language processing
deep learning
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John Doe
University of Wisconsin–Madison United States of America
machine learning
natural language processing
predictive modeling
deep learning
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Yaoliang Yu
University of Waterloo Canada
machine learning
generative modelling
natural language processing
iteration complexity bounds
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Anna Korhonen
University of Cambridge United Kingdom
machine learning
information extraction
natural language processing
deep learning
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Mikhail Glazunov
Delft University of Technology Netherlands
natural language processing
generative modeling
probabilistic modeling
deep learning
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Ekta Vats
Uppsala University Sweden
machine learning
natural language processing
deep learning
image analysis
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Morteza Esmaeili
University of Victoria Canada
iterative decoding algorithms
linear programming decoding
index coding theory
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Jinhong Yuan
University of New South Wales Australia
iterative processing
space-time coding
turbo coding
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Martin Vinck
Radboud University Netherlands
neural coding
machine learning
temporal coding
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Florian Shkurti
University of Toronto Canada
imitation learning
machine learning
inverse reinforcement learning
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Vincent Gaudet
University of Waterloo Canada
turbo decoding
ldpc decoding
stochastic computing
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Olga Taran
University of Geneva Switzerland
stochastic information processing
machine learning
image processing
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Hazem Abbas
Queen's University Canada
machine learning
image processing
natural language processing
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Mehrtash Harandi
Monash University Australia
image signal processing
machine learning
deep learning
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Zhou Wang
University of Waterloo Canada
machine learning
image processing
computational vision
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Vinod Vydiswaran
University of Michigan United States of America
machine learning
information extraction
natural language processing
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V. Saxena
Maastricht University Netherlands
multimodal representational learning
machine learning
natural language processing
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Josien Pluim
Eindhoven University of Technology Belgium
image detection
machine learning
deep learning
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Prashant Singh
Uppsala University Sweden
sequential sampling
machine learning
inverse modeling
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