Benjamin Bloem-Reddy
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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
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
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
Lossy compression for lossless prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
Advances in Neural Information Processing Systems 34, 14014-14028, 2021
Preferential Attachment and Vertex Arrival Times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
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
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
Sequential sampling of Gaussian process latent variable models
M Tegner, B Bloem-Reddy, S Roberts
arXiv preprint arXiv:1807.04932, 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
Neural network models of exchangeable sequences
B Bloem-Reddy, YW Teh
Third NeurIPS Workshop on Bayesian Deep Learning, 2018
Slice Sampling on Hamiltonian Trajectories
B Bloem-Reddy, J Cunningham
Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016
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
Indeterminacy in Latent Variable Models: Characterization and Strong Identifiability
Q Xi, B Bloem-Reddy
arXiv preprint arXiv:2206.00801, 2022
Beauty in Machine Learning: Fluency and Leaps
B Bloem-Reddy
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
Uncertainty in Neural Processes
S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood
arXiv preprint arXiv:2010.03753, 2020
Exchangeable random partitions and random discrete probability measures: a brief tour guided by the Dirichlet Process
B Bloem-Reddy
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
B Bloem-Reddy
Columbia University, 2017
Random walk models of sparse graphs and networks
B Reddy, P Orbanz
NIPS 2014 Workshop on Networks: From Graphs to Rich Data, 2014
Superfluid^ 3He in Anistropic Aerogels
J Pollanen, JP Davis, B Reddy, KR Shirer, H Choi, WJ Gannon, CA Collett, ...
APS March Meeting Abstracts, X16. 011, 2009
Multiple Environments Can Reduce Indeterminacy in VAEs
Q Xi, B Bloem-Reddy
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