Search Results - Bloem-Reddy, Benjamin

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  1. 1
    Random-walk models of network formation and sequential Monte Carlo methods for graphs

    Random-walk models of network formation and sequential Monte Carlo methods for graphs by Bloem-Reddy, Benjamin, Orbanz, Peter

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  2. 2
    Non-parametric Hypothesis Tests for Distributional Group Symmetry

    Non-parametric Hypothesis Tests for Distributional Group Symmetry by Chiu, Kenny, Bloem-Reddy, Benjamin

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  3. 3
    Causal Inference with Cocycles

    Causal Inference with Cocycles by Dance, Hugh, Bloem-Reddy, Benjamin

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  4. 4
    Randomization Tests for Conditional Group Symmetry

    Randomization Tests for Conditional Group Symmetry by Chiu, Kenny, Sharp, Alex, Bloem-Reddy, Benjamin

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  5. 5
    Indeterminacy in Generative Models: Characterization and Strong Identifiability

    Indeterminacy in Generative Models: Characterization and Strong Identifiability by Quanhan Xi, Bloem-Reddy, Benjamin

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  6. 6
    Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs

    Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs by Bloem-Reddy, Benjamin, Orbanz, Peter

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  7. 7
    Mixed Variational Flows for Discrete Variables

    Mixed Variational Flows for Discrete Variables by Diluvi, Gian Carlo, Bloem-Reddy, Benjamin, Campbell, Trevor

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  8. 8
    Probabilistic symmetries and invariant neural networks

    Probabilistic symmetries and invariant neural networks by Bloem-Reddy, Benjamin, Teh, Yee Whye

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  9. 9
    Lossy Compression for Lossless Prediction

    Lossy Compression for Lossless Prediction by Dubois, Yann, Bloem-Reddy, Benjamin, Ullrich, Karen, Maddison, Chris J

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  10. 10
    Preferential Attachment and Vertex Arrival Times

    Preferential Attachment and Vertex Arrival Times by Bloem-Reddy, Benjamin, Orbanz, Peter

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  11. 11
    Uncertainty in Neural Processes

    Uncertainty in Neural Processes by Naderiparizi, Saeid, Chiu, Kenny, Bloem-Reddy, Benjamin, Wood, Frank

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  12. 12
    Sequential sampling of Gaussian process latent variable models

    Sequential sampling of Gaussian process latent variable models by Tegner, Martin, Bloem-Reddy, Benjamin, Roberts, Stephen

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  13. 13
    Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks

    Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks by Bloem-Reddy, Benjamin, Foster, Adam, Mathieu, Emile, Teh, Yee Whye

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  14. 14
    On the Benefits of Invariance in Neural Networks

    On the Benefits of Invariance in Neural Networks by Lyle, Clare, van der Wilk, Mark, Kwiatkowska, Marta, Yarin Gal, Bloem-Reddy, Benjamin

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