Følg
Benjamin Bloem-Reddy
Titel
Citeret af
Citeret af
År
Probabilistic symmetries and invariant neural networks
B Bloem-Reddy, YW Teh
Journal of Machine Learning Research 21 (90), 1-61, 2020
1792020
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
1012020
Lossy compression for lossless prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
Advances in Neural Information Processing Systems 34, 14014-14028, 2021
852021
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
422018
Indeterminacy in Generative Models: Characterization and Strong Identifiability
Q Xi, B Bloem-Reddy
International Conference on Artificial Intelligence and Statistics, 6912-6939, 2023
25*2023
Preferential Attachment and Vertex Arrival Times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
162017
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 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
102008
Uncertainty in Neural Processes
S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood
arXiv preprint arXiv:2010.03753, 2020
52020
Hypothesis Tests for Distributional Group Symmetry with Applications to Particle Physics
K Chiu, B Bloem-Reddy
NeurIPS 2023 AI for Science Workshop, 2023
42023
Non-parametric Hypothesis Tests for Distributional Group Symmetry
K Chiu, B Bloem-Reddy
arXiv preprint arXiv:2307.15834, 2023
42023
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
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
B Bloem-Reddy
Columbia University, 2017
32017
Slice Sampling on Hamiltonian Trajectories
B Bloem-Reddy, J Cunningham
Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016
32016
Triangular Monotonic Generative Models Can Perform Causal Discovery
Q Xi, S Gonzalez, B Bloem-Reddy
Causal Representation Learning Workshop at NeurIPS 2023, 2023
22023
Neural network models of exchangeable sequences
B Bloem-Reddy, YW Teh
Third NeurIPS Workshop on Bayesian Deep Learning, 2018
22018
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
Causal Inference with Cocycles
H Dance, B Bloem-Reddy
arXiv preprint arXiv:2405.13844, 2024
12024
Identifying metric structures of deep latent variable models
S Syrota, Y Zainchkovskyy, J Xi, B Bloem-Reddy, S Hauberg
arXiv preprint arXiv:2502.13757, 2025
2025
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20