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ORCIDBenjamin Bloem-Reddy
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2020 – today
- 2025
[i12]Johnny Xi, Hugh Dance, Peter Orbanz, Benjamin Bloem-Reddy:
Distinguishing Cause from Effect with Causal Velocity Models. CoRR abs/2502.05122 (2025)- [i11]Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg:
Identifying metric structures of deep latent variable models. CoRR abs/2502.13757 (2025) - [i10]Kevin Lam, William Daniels
, J. Maxwell Douglas, Daniel Lai, Samuel Aparicio, Benjamin Bloem-Reddy, Yongjin Park:
CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation. CoRR abs/2506.22963 (2025) - 2024
- [c6]Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood:
On Neural Process Pooling Operator Choice and Posterior Calibration. Canadian AI 2024 - [c5]Gian Carlo Diluvi, Benjamin Bloem-Reddy, Trevor Campbell:
Mixed variational flows for discrete variables. AISTATS 2024: 2431-2439 - 2023
- [c4]Quanhan Xi, Benjamin Bloem-Reddy:
Indeterminacy in Generative Models: Characterization and Strong Identifiability. AISTATS 2023: 6912-6939 - [i9]Gian Carlo Diluvi, Benjamin Bloem-Reddy, Trevor Campbell:
Mixed Variational Flows for Discrete Variables. CoRR abs/2308.15613 (2023) - 2022
- [i8]Quanhan Xi, Benjamin Bloem-Reddy:
Indeterminacy in Latent Variable Models: Characterization and Strong Identifiability. CoRR abs/2206.00801 (2022) - 2021
- [c3]Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison:
Lossy Compression for Lossless Prediction. NeurIPS 2021: 14014-14028 - [i7]Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison:
Lossy Compression for Lossless Prediction. CoRR abs/2106.10800 (2021) - 2020
- [j1]Benjamin Bloem-Reddy, Yee Whye Teh:
Probabilistic Symmetries and Invariant Neural Networks. J. Mach. Learn. Res. 21: 90:1-90:61 (2020) - [i6]Clare Lyle, Mark van der Wilk, Marta Kwiatkowska, Yarin Gal, Benjamin Bloem-Reddy:
On the Benefits of Invariance in Neural Networks. CoRR abs/2005.00178 (2020) - [i5]Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood:
Uncertainty in Neural Processes. CoRR abs/2010.03753 (2020)
2010 – 2019
- 2019
- [i4]Benjamin Bloem-Reddy, Yee Whye Teh:
Probabilistic symmetry and invariant neural networks. CoRR abs/1901.06082 (2019) - 2018
- [c2]Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh:
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. UAI 2018: 477-486 - [i3]Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh:
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. CoRR abs/1807.03113 (2018) - [i2]Martin Tegner, Benjamin Bloem-Reddy, Stephen J. Roberts:
Sequential sampling of Gaussian process latent variable models. CoRR abs/1807.04932 (2018) - 2017
- [i1]Benjamin Bloem-Reddy, Peter Orbanz:
Preferential Attachment and Vertex Arrival Times. CoRR abs/1710.02159 (2017) - 2016
- [c1]Benjamin Bloem-Reddy, John P. Cunningham:
Slice Sampling on Hamiltonian Trajectories. ICML 2016: 3050-3058
Coauthor Index
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last updated on 2025-11-22 04:58 CET by the dblp team
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