Linh Tran
Linh Tran
Imperial College London
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
How Good is the Bayes Posterior in Deep Neural Networks Really?
F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02405, 2020
392020
Deepcoder: Semi-parametric variational autoencoders for automatic facial action coding
DL Tran, R Walecki, O Rudovic, S Eleftheriadis, B Schuller, M Pantic
Proceedings of the IEEE International Conference on Computer Vision, 3190-3199, 2017
36*2017
GAGAN: Geometry-Aware Generative Adversarial Networks
J Kossaifi, L Tran, Y Panagakis, M Pantic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
342018
Hydra: Preserving Ensemble Diversity for Model Distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
arXiv preprint arXiv:2001.04694, 2020
82020
Disentangling geometry and appearance with regularised geometry-aware generative adversarial networks
L Tran, J Kossaifi, Y Panagakis, M Pantic
International Journal of Computer Vision 127 (6), 824-844, 2019
82019
The k-tied normal distribution: A compact parameterization of gaussian mean field posteriors in bayesian neural networks
J Swiatkowski, K Roth, B Veeling, L Tran, J Dillon, J Snoek, S Mandt, ...
International Conference on Machine Learning, 9289-9299, 2020
42020
ProfPPIdb: pairs of physical protein-protein interactions predicted for entire proteomes
L Tran, T Hamp, B Rost
PLOS ONE, 2018
42018
Cauchy-Schwarz Regularized Autoencoder
L Tran, M Pantic, MP Deisenroth
arXiv preprint arXiv:2101.02149, 2021
12021
On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
J Świątkowski, K Roth, BS Veeling, L Tran, JV Dillon, J Snoek, S Mandt, ...
2019
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