Radford M. Neal is affiliated with the University of Toronto in Canada. Their research spans several fields primarily within computer science and mathematics. They have contributed notably to the subfields of statistics and probability, artificial intelligence, condensed matter physics, ocean engineering, and computer vision and pattern recognition.
The following main topics characterize Neal's research work:
Neal has published frequently in venues such as:
Some of their recent papers include:
Neal has collaborated with several researchers frequently, including:
Their work integrates theoretical and computational approaches, contributing to areas such as Markov chain Monte Carlo methodologies and Bayesian inference. Additionally, Neal has participated in research related to automated extraction of infrastructure using deep learning techniques, reflecting interdisciplinary applications within artificial intelligence and computer vision.
Geoffrey Hinton;Radford M. Neal
David J. C. MacKay;Radford M. Neal
Ian H. Witten;Radford M. Neal;John G. Cleary
Radford M. Neal;Geoffrey E. Hinton
Radford M. Neal
Radford M. Neal
Radford M. Neal
Peter Dayan;Geoffrey E. Hinton;Radford M. Neal;Richard S. Zemel
Radford M. Neal
Geoffrey E. Hinton;Peter Dayan;Brendan J. Frey;Radford M. Neal
Robert E. Kass;Bradley P. Carlin;Andrew Gelman;Radford M. Neal
Alistair Moffat;Radford M. Neal;Ian H. Witten
Radford M. Neal
Sonia Jain;Radford M Neal
Radford M. Neal
Radford M. Neal
Radford M. Neal
Radford M. Neal
Radford M. Neal
Babak Shahbaba;Radford Neal
Radford M. Neal
John Bridle;Peter Cheeseman;Sidney Fels;Steve Gull
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National Academies of Sciences, Engineering, and Medicine
University of Arizona
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