Showing 1 - 20 results of 44 for search 'Gal, Y', query time: 0.05s
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1
Distributed variational inference in sparse Gaussian process regression and latent variable models by Gal, Y
Published 2014Conference item -
2
What uncertainties do we need in Bayesian deep learning for computer vision? by Kendall, A, Gal, Y
Published 2017Conference item -
3
Real time image saliency for black box classifiers by Dabkowski, P, Gal, Y
Published 2018Conference item -
4
A theoretically grounded application of dropout in recurrent neural networks by Gal, Y, Ghahramani, Z
Published 2016Conference item -
5
A Systematic Bayesian Treatment of the IBM Alignment Models by Gal, Y, Blunsom, P
Published 2013Conference item -
6
Dropout inference in Bayesian neural networks with alpha-divergences by Li, Y, Gal, Y
Published 2017Conference item -
7
Domain invariant representation learning with domain density transformations by Nguyen, AT, Tran, T, Gal, Y, Baydin, AG
Published 2021Internet publication -
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics by Cipolla, R, Gal, Y, Kendall, A
Published 2018Conference item -
10
Inter-domain deep Gaussian processes by Rudner, TGJ, Sejdinovic, D, Gal, Y
Published 2020Conference item -
11
Deep Bayesian active learning with image data by Gal, Y, Islam, R, Ghahramani, Z
Published 2017Conference item -
12
Detecting hallucinations in large language models using semantic entropy by Farquhar, S, Kossen, J, Kuhn, L, Gal, Y
Published 2024Journal article -
13
KL guided domain adaptation by Nguyen, AT, Tran, T, Gal, Y, Torr, PHS, Baydin, AG
Published 2021Internet publication -
14
KL guided domain adaptation by Nguyen, AT, Tran, T, Gal, Y, Torr, P, Baydin, AG
Published 2021Conference item -
15
Baryons as solitons in the meson spectrum: a machine learning perspective by Gal, Y, Jejjala, V, Mayorga Peña, DK, Mishra, C
Published 2022Journal article -
16
Learning dynamics and generalization in reinforcement learning by Lyle, C, Rowland, M, Dabney, W, Kwiatkowska, M, Gal, Y
Published 2022Conference item -
17
Deep deterministic uncertainty: a new simple baseline by Mukhoti, J, Kirsch, A, Van Amersfoort, J, Torr, P, Gal, Y
Published 2023Conference item -
18
Uncertainty quantification with statistical guarantees in end-to-end autonomous driving control by Michelmore, R, Wicker, M, Laurenti, L, Cardelli, L, Gal, Y, Kwiatkowska, M
Published 2020Journal article -
19
VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning by Zintgraf, L, Shiarlis, K, Igl, M, Schulze, S, Gal, Y, Hofmann, K, Whiteson, S
Published 2020Conference item -
20
BRUNO: A deep recurrent model for exchangeable data by Korshunova, I, Degrave, J, Huszár, F, Gal, Y, Gretton, A, Dambre, J
Published 2018Conference item