Benjamin Bloem-Reddy - Google Scholar

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	All	Since 2015
Citations	80	71
h-index	4	4
i10-index	2	2

20082009201020112012201320142015201620172018201920201 1 1 3 1 2 3 12 37 18

Co-authors

Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Peter OrbanzColumbia UniversityVerified email at stat.columbia.edu
Johannes PollanenMichigan State UniversityVerified email at msu.edu
John P. DavisAssociate Professor of Phyiscs, University of AlbertaVerified email at ualberta.ca
Kent R. ShirerMax-Planck-Institut für Chemische Physik fester StoffeVerified email at cpfs.mpg.de
W. P. HalperinOrrington Lunt Professor of Physics, Northwestern UniversityVerified email at northwestern.edu
Emile MathieuDPhil in Statistics, University of OxfordVerified email at stats.ox.ac.uk
Adam FosterUniversity of OxfordVerified email at stats.ox.ac.uk
John CunninghamAssociate Professor, Columbia UniversityVerified email at columbia.edu
Hong GeResearch Fellow, Cambridge UniversityVerified email at cam.ac.uk
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Maria LomeliFacebookVerified email at fb.com
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified email at eng.cam.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Charles CollettAssistant Professor of Physics, Muhlenberg CollegeVerified email at muhlenberg.edu
William GannonUniversity of KentuckyVerified email at uky.edu
Clare LyleUniversity of OxfordVerified email at univ.ox.ac.uk
Mark van der WilkImperial College LondonVerified email at imperial.ac.uk
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Marta KwiatkowskaProfessor of Computing Systems, University of OxfordVerified email at comlab.ox.ac.uk

Benjamin Bloem-Reddy

University of British Columbia

Verified email at stat.ubc.ca - Homepage

Statistics Machine Learning Applied Probability


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Probabilistic symmetries and invariant neural networks B Bloem-Reddy, YW Teh Journal of Machine Learning Research 21 (90), 1-61, 2020	35*	2020
Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs B Bloem-Reddy, P Orbanz Journal of the Royal Statistical Society, Series B: Statistical Methodology, 2018	17	2018
Stability of the axial phase of superfluid He 3 in aerogel with globally anisotropic scattering JP Davis, J Pollanen, B Reddy, KR Shirer, H Choi, WP Halperin Physical Review B 77 (14), 140502, 2008	9	2008
Preferential Attachment and Vertex Arrival Times B Bloem-Reddy, P Orbanz arXiv preprint arXiv:1710.02159, 2017	8	2017
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks B Bloem-Reddy, A Foster, E Mathieu, YW Teh Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence, 2018	4	2018
Neural network models of exchangeable sequences B Bloem-Reddy, YW Teh Third NeurIPS Workshop on Bayesian Deep Learning, 2018	2	2018
Superfluid phase stability of 3He in axially anisotropic aerogel J Pollanen, JP Davis, B Reddy, KR Shirer, H Choi, WP Halperin Journal of Physics: Conference Series 150 (3), 032084, 2009	2	2009
Sequential sampling of Gaussian process latent variable models M Tegner, B Bloem-Reddy, S Roberts arXiv preprint arXiv:1807.04932, 2018	1	2018
Sampling and inference for discrete random probability measures in probabilistic programs B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ... NIPS 2017 Workshop on Advances in Approximate Bayesian Inference, 2017	1	2017
Slice Sampling on Hamiltonian Trajectories B Bloem-Reddy, J Cunningham Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016	1	2016
On the Benefits of Invariance in Neural Networks C Lyle, M van der Wilk, M Kwiatkowska, Y Gal, B Bloem-Reddy arXiv preprint arXiv:2005.00178, 2020		2020
Exchangeable random partitions and random discrete probability measures: a brief tour guided by the Dirichlet Process B Bloem-Reddy		2018
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data B Bloem-Reddy Columbia University, 2017		2017
Random walk models of sparse graphs and networks B Reddy, P Orbanz NIPS 2014 Workshop on Networks: From Graphs to Rich Data, 2014		2014
Superfluid^ 3He in Anistropic Aerogels J Pollanen, JP Davis, B Reddy, KR Shirer, H Choi, WJ Gannon, CA Collett, ... APS, X16. 011, 2009		2009

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