Linh Tran
Cited by
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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
Joinable: Learning bottom-up assembly of parametric cad joints
KDD Willis, PK Jayaraman, H Chu, Y Tian, Y Li, D Grandi, A Sanghi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
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
Masktune: Mitigating spurious correlations by forcing to explore
S Asgari, A Khani, F Khani, A Gholami, L Tran, A Mahdavi Amiri, ...
Advances in Neural Information Processing Systems 35, 23284-23296, 2022
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, 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
The Journal of Machine Learning Research 23 (1), 5010-5046, 2022
Generalizable Pose Estimation Using Implicit Scene Representations
V Saxena, KR Malekshan, L Tran, Y Koga
arXiv preprint arXiv:2305.17252, 2023
Evolving through the looking glass: Learning improved search spaces with variational autoencoders
PJ Bentley, SL Lim, A Gaier, L Tran
International Conference on Parallel Problem Solving from Nature, 371-384, 2022
COIL: Constrained optimization in learned latent space: learning representations for valid solutions
PJ Bentley, SL Lim, A Gaier, L Tran
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
SimCURL: Simple Contrastive User Representation Learning from Command Sequences
H Chu, AH Khasahmadi, KDD Willis, F Anderson, Y Mao, L Tran, ...
arXiv preprint arXiv:2207.14760, 2022
Group-disentangled Representation Learning with Weakly-Supervised Regularization
L Tran, AH Khasahmadi, A Sanghi, S Asgari
arXiv preprint arXiv:2110.12185, 2021
Representation Learning for Sequential Volumetric Design Tasks
MF Alam, Y Wang, L Tran, CY Cheng, J Luo
arXiv preprint arXiv:2309.02583, 2023
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness
SA Taghanaki, A Gholami, F Khani, K Choi, L Tran, R Zhang, A Khani
arXiv preprint arXiv:2207.01548, 2022
Human-controllable and structured deep generative models
DL Tran
Imperial College London, 2022
Weakly-supervised group disentanglement using total correlation
L Tran, SA Taghanaki, AH Khasahmadi, A Sanghi
Workshop on Weakly Supervised Learning (WeaSuL) at the International …, 2021
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