Follow
Benjamin Bloem-Reddy
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
1392020
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
682020
Lossy compression for lossless prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
Advances in Neural Information Processing Systems 34, 14014-14028, 2021
532021
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
292018
Indeterminacy in Generative Models: Characterization and Strong Identifiability
Q Xi, B Bloem-Reddy
International Conference on Artificial Intelligence and Statistics, 6912-6939, 2023
15*2023
Preferential Attachment and Vertex Arrival Times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
152017
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
102018
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
92008
Uncertainty in Neural Processes
S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood
arXiv preprint arXiv:2010.03753, 2020
42020
Sequential sampling of Gaussian process latent variable models
M Tegnér, B Bloem-Reddy, S Roberts
arXiv preprint arXiv:1807.04932, 2018
42018
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
42017
Slice Sampling on Hamiltonian Trajectories
B Bloem-Reddy, J Cunningham
Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016
32016
Non-parametric Hypothesis Tests for Distributional Group Symmetry
K Chiu, B Bloem-Reddy
arXiv preprint arXiv:2307.15834, 2023
22023
Neural network models of exchangeable sequences
B Bloem-Reddy, YW Teh
Third NeurIPS Workshop on Bayesian Deep Learning, 2018
22018
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
B Bloem-Reddy
Columbia University, 2017
22017
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
22009
Hypothesis Tests for Distributional Group Symmetry with Applications to Particle Physics
K Chiu, B Bloem-Reddy
NeurIPS 2023 AI for Science Workshop, 2023
2023
Triangular Monotonic Generative Models Can Perform Causal Discovery
Q Xi, S Gonzalez, B Bloem-Reddy
Causal Representation Learning Workshop at NeurIPS 2023, 2023
2023
Mixed Variational Flows for Discrete Variables
GC Diluvi, B Bloem-Reddy, T Campbell
arXiv preprint arXiv:2308.15613, 2023
2023
Beauty in Machine Learning: Fluency and Leaps
B Bloem-Reddy
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20