Showing 1 - 20 results of 96 for search 'Curran Associates', query time: 0.43s Refine Results
  1. 1
    Mixed energy reactor simulations using the discrete generalized multigroup method

    Mixed energy reactor simulations using the discrete generalized multigroup method by Forget, Benoit Robert Yves, Zhu, Lei

    Published 2019
    “…Curran Associates…”
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    Article
  2. 2
    Library learning for neurally-guided Bayesian program induction

    Library learning for neurally-guided Bayesian program induction by Ellis, Kevin M., Morales, Lucas E., Sable-Meyer, Mathias, Solar Lezama, Armando, Tenenbaum, Joshua B

    Published 2019
    “…Curran Associates…”
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    Article
  3. 3
    Learning to share and hide intentions using information regularization

    Learning to share and hide intentions using information regularization by Kleiman-Weiner, Max, Tenenbaum, Joshua B

    Published 2020
    “…Curran Associates…”
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    Article
  4. 4
    E(n) Equivariant Normalizing Flows

    E(n) Equivariant Normalizing Flows by Satorras, VG, Hoogeboom, E, Fuchs, FB, Posner, I, Welling, M

    Published 2022
    “…Curran Associates…”
    Conference item
  5. 5
    Trusting SVM for piecewise linear CNNs

    Trusting SVM for piecewise linear CNNs by Berrada, L, Zisserman, A, Kumar, MP

    Published 2017
    “…Curran Associates…”
    Conference item
  6. 6
    Sorting with predictions

    Sorting with predictions by Bai, X, Coester, C

    Published 2023
    “… Curran Associates…”
    Conference item
  7. 7
    CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age

    CROCS: Clustering and revival of cardiac signals based on patient disease class, sex, and age by Kiyasseh, D, Zhu, T, Clifton, D

    Published 2021
    “… Curran Associates…”
    Conference item
  8. 8
    Learning disentangled representations with semi-supervised deep generative models

    Learning disentangled representations with semi-supervised deep generative models by Siddharth, N, Paige, B, Van De Meent, J, Desmaison, A, Goodman, N, Kohli, P, Wood, F, Torr, P

    Published 2018
    “…Curran Associates…”
    Conference item
  9. 9
    Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing

    Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing by Blake, C, Kurin, V, Igl, M, Whiteson, SA

    Published 2021
    “… Curran Associates…”
    Conference item
  10. 10
    Riemannian score-based generative modelling

    Riemannian score-based generative modelling by De Bortoli, V, Mathieu, E, Hutchinson, M, Thornton, J, Teh, YW, Doucet, A

    Published 2023
    “…Curran Associates…”
    Conference item
  11. 11
    What uncertainties do we need in Bayesian deep learning for computer vision?

    What uncertainties do we need in Bayesian deep learning for computer vision? by Kendall, A, Gal, Y

    Published 2017
    “…Curran Associates…”
    Conference item
  12. 12
    Faithful inversion of generative models for effective amortized inference

    Faithful inversion of generative models for effective amortized inference by Webb, S, Golinski, A, Zinkov, R, Narayanaswamy, S, Rainforth, T, Teh, Y, Wood, F

    Published 2019
    “…Curran Associates…”
    Conference item
  13. 13
    Learning-augmented dynamic power management with multiple states via new ski rental bounds

    Learning-augmented dynamic power management with multiple states via new ski rental bounds by Antoniadis, A, Coester, C, Eliáš, M, Polak, A, Simon, B

    Published 2022
    “…Curran Associates…”
    Conference item
  14. 14
    Associative memories via predictive coding

    Associative memories via predictive coding by Salvatori, T, Song, Y, Hong, Y, Sha, L, Frieder, S, Xu, Z, Bogacz, R, Lukasiewicz, T

    Published 2021
    “… Curran Associates…”
    Conference item
  15. 15
    A continuous time framework for discrete denoising models

    A continuous time framework for discrete denoising models by Campbell, A, Benton, J, De Bortoli, V, Rainforth, T, Deligiannidis, G, Doucet, A

    Published 2023
    “… Curran Associates…”
    Conference item
  16. 16
    Unsupervised learning of object keypoints for perception and control

    Unsupervised learning of object keypoints for perception and control by Kulkarni, T, Gupta, A, Ionescu, C, Borgeaud, S, Reynolds, M, Zisserman, A, Mnih, V

    Published 2020
    “…Curran Associates…”
    Conference item
  17. 17
    FlyView: a bio-inspired optical flow truth dataset for visual navigation using panoramic stereo vision

    FlyView: a bio-inspired optical flow truth dataset for visual navigation using panoramic stereo vision by Leroy, A, Taylor, GK

    Published 2023
    “… Curran Associates…”
    Conference item
  18. 18
    Calibrating deep neural networks using focal loss

    Calibrating deep neural networks using focal loss by Mukhoti, J, Kulharia, V, Sanyal, A, Golodetz, S, Torr, PHS, Dokania, PK

    Published 2020
    “…Curran Associates…”
    Conference item
  19. 19
    Online variational filtering and parameter learning

    Online variational filtering and parameter learning by Campbell, A, Shi, Y, Rainforth, T, Doucet, A

    Published 2022
    “…Curran Associates…”
    Conference item
  20. 20
    GENESIS-V2: inferring unordered object representations without iterative refinement

    GENESIS-V2: inferring unordered object representations without iterative refinement by Engelcke, M, Parker Jones, OP, Posner, I

    Published 2022
    “…Curran Associates…”
    Conference item

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