Linh Tran
Linh Tran
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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, ...
International Conference on Machine Learning (ICML), 2020
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
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
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
Hydra: Preserving Ensemble Diversity for Model Distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2020
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
ProfPPIdb: pairs of physical protein-protein interactions predicted for entire proteomes
L Tran, T Hamp, B Rost
PLOS ONE, 2018
Cauchy-Schwarz Regularized Autoencoder
L Tran, M Pantic, MP Deisenroth
arXiv preprint arXiv:2101.02149, 2021
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