Benjamin Bloem-Reddy

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Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Quanhan Xi (奚泉瀚）Graduate Student, University of British ColumbiaVerified email at stat.ubc.ca
Peter OrbanzColumbia UniversityVerified email at stat.columbia.edu
Clare LyleGoogle DeepMindVerified email at deepmind.com
Mark van der WilkAssociate Professor, University of OxfordVerified email at cs.ox.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
Johannes PollanenMichigan State University, EeroQ CorporationVerified email at msu.edu
John P. DavisUniversity of Alberta Physics, Zero Point CryogenicsVerified email at ualberta.ca
Kent R. ShirerLaboratory of Quantum Materials, EPFLVerified email at epfl.ch
Yann DuboisOpenAIVerified email at stanford.edu
Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Karen UllrichFAIRVerified email at fb.com
Kenny ChiuUniversity of British ColumbiaVerified email at stat.ubc.ca
Emile MathieuML Research Scientist @ Xaira TherapeuticsVerified email at xaira.com
Adam FosterMicrosoft ResearchVerified email at microsoft.com
W. P. HalperinOrrington Lunt Professor of Physics, Northwestern UniversityVerified email at northwestern.edu
Hong GeCambridge UniversityVerified email at cam.ac.uk
Tom RainforthAssociate Professor, University of OxfordVerified email at stats.ox.ac.uk
Maria LomeliMeta, FAIRVerified email at meta.com

Benjamin Bloem-Reddy

University of British Columbia

Verified email at stat.ubc.ca - Homepage

Statistics Machine Learning Applied Probability


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Probabilistic symmetries and invariant neural networks B Bloem-Reddy, YW Teh Journal of Machine Learning Research 21 (90), 1-61, 2020	169	2020
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	83	2020
Lossy compression for lossless prediction Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison Advances in Neural Information Processing Systems 34, 14014-14028, 2021	73	2021
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	44	2018
Indeterminacy in Generative Models: Characterization and Strong Identifiability Q Xi, B Bloem-Reddy International Conference on Artificial Intelligence and Statistics, 6912-6939, 2023	21*	2023
Preferential Attachment and Vertex Arrival Times B Bloem-Reddy, P Orbanz arXiv preprint arXiv:1710.02159, 2017	15	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	11	2018
Stability of the axial phase of superfluid in aerogel with globally anisotropic scattering JP Davis, J Pollanen, B Reddy, KR Shirer, H Choi, WP Halperin Physical Review B—Condensed Matter and Materials Physics 77 (14), 140502, 2008	9	2008
Non-parametric Hypothesis Tests for Distributional Group Symmetry K Chiu, B Bloem-Reddy arXiv preprint arXiv:2307.15834, 2023	5	2023
Uncertainty in Neural Processes S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood arXiv preprint arXiv:2010.03753, 2020	4	2020
Sequential sampling of Gaussian process latent variable models M Tegnér, B Bloem-Reddy, S Roberts arXiv preprint arXiv:1807.04932, 2018	4	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	4	2017
Slice Sampling on Hamiltonian Trajectories B Bloem-Reddy, J Cunningham Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016	3	2016
Neural network models of exchangeable sequences B Bloem-Reddy, YW Teh Third NeurIPS Workshop on Bayesian Deep Learning, 2018	2	2018
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data B Bloem-Reddy Columbia University, 2017	2	2017
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
Causal Inference with Cocycles H Dance, B Bloem-Reddy arXiv preprint arXiv:2405.13844, 2024	1	2024
Hypothesis Tests for Distributional Group Symmetry with Applications to Particle Physics K Chiu, B Bloem-Reddy NeurIPS 2023 AI for Science Workshop, 2023	1	2023
Triangular Monotonic Generative Models Can Perform Causal Discovery Q Xi, S Gonzalez, B Bloem-Reddy Causal Representation Learning Workshop at NeurIPS 2023, 2023	1	2023
Mixed variational flows for discrete variables GC Diluvi, B Bloem-Reddy, T Campbell International Conference on Artificial Intelligence and Statistics, 2431-2439, 2024		2024

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