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Frank Wood
Associate Professor
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My primary research areas are probabilistic programming and applied probabilistic machine learning. My research interests range from the development of new probabilistic models and inference algorithms to real-world applications. My research contributions include probabilistic programming systems, new models and inference algorithms, and novel applications of such models to problems in computational neuroscience, vision, natural language processing, robotics, and reinforcement learning..
Papers62 papers
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UAI, pp.649-658, (2020)
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international conference on machine learning, (2020)
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AISTATS, pp.1748-1758, (2020)
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NIPS 2020, (2020)
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UAI, pp.373, (2019)
Cited by11EIBibtex
arXiv: Learning, (2019)
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CVPR, pp.14481-14490, (2019)
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Munk Andreas, Ścibior Adam,Baydin Atılım Güneş, Stewart Andrew, Fernlund Goran,Poursartip Anoush,Wood Frank
Cited by3Bibtex
Naderiparizi Saeid, Ścibior Adam, Munk Andreas, Ghadiri Mehrdad,Baydin Atılım Güneş, Gram-Hansen Bradley, de Witt Christian Schroeder, Zinkov Robert,Torr Philip H. S., Rainforth Tom,Teh Yee Whye,Wood Frank
Cited by1Bibtex
Atilim Gunes Baydin, Lei Shao,Wahid Bhimji,Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley J Gram-Hansen,Gilles Louppe, Lawrence Meadows,Philip Torr, Victor Lee
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 5460-5473
Cited by17EIBibtex
CoRR, (2019)
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Atilim Güneş Baydin, Lei Shao,Wahid Bhimji,Lukas Heinrich, Lawrence Meadows,Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen,Gilles Louppe, Mingfei Ma, Xiaohui Zhao
Proceedings of the International Conference for High Performance Computing, Networking, Storage and ..., pp.29, (2019)
international conference on learning representations, (2018)
Cited by80EIBibtex
international conference on machine learning, (2018): 2122-2131
Cited by61EIBibtex
CoRR, (2018)
Cited by17EIBibtex
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