Dustin Tran
Dustin Tran
Research Scientist, Google
Geverifieerd e-mailadres voor google.com - Homepage
Titel
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Jaar
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
The Journal of Machine Learning Research 18 (1), 430-474, 2017
587*2017
Image transformer
N Parmar, A Vaswani, J Uszkoreit, L Kaiser, N Shazeer, A Ku, D Tran
International Conference on Machine Learning, 4055-4064, 2018
5212018
Tensor2tensor for neural machine translation
A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ...
arXiv preprint arXiv:1803.07416, 2018
4112018
Edward: A library for probabilistic modeling, inference, and criticism
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
2902016
Hierarchical variational models
R Ranganath, D Tran, D Blei
International Conference on Machine Learning, 324-333, 2016
2472016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, DM Blei
Neural Information Processing Systems, 2017
246*2017
Operator variational inference
R Ranganath, D Tran, J Altosaar, D Blei
Advances in Neural Information Processing Systems 29, 496-504, 2016
236*2016
Tensorflow distributions
JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ...
arXiv preprint arXiv:1711.10604, 2017
2202017
Deep probabilistic programming
D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei
International Conference on Learning Representations, 2017
1842017
Variational Gaussian Process
D Tran, R Ranganath, DM Blei
International Conference on Learning Representations, Oral, 2016
1482016
Mesh-TensorFlow: Deep learning for supercomputers
N Shazeer, Y Cheng, N Parmar, D Tran, A Vaswani, P Koanantakool, ...
Neural Information Processing Systems, 2018
1462018
Flipout: Efficient pseudo-independent weight perturbations on mini-batches
Y Wen, P Vicol, J Ba, D Tran, R Grosse
arXiv preprint arXiv:1803.04386, 2018
1352018
Variational inference via -upper bound minimization
AB Dieng, D Tran, R Ranganath, J Paisley, DM Blei
arXiv preprint arXiv:1611.00328, 2016
118*2016
Noise contrastive priors for functional uncertainty
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence, 905-914, 2020
90*2020
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
arXiv preprint arXiv:1603.00788, 2016
852016
BatchEnsemble: An alternative approach to efficient ensemble and lifelong learning
Y Wen, D Tran, J Ba
International Conference on Learning Representations, 2020
762020
Measuring Calibration in Deep Learning.
J Nixon, MW Dusenberry, L Zhang, G Jerfel, D Tran
CVPR Workshops 2 (7), 2019
762019
Copula variational inference
D Tran, DM Blei, EM Airoldi
Advances in Neural Information Processing Systems, 3550-3558, 2015
712015
Efficient and scalable Bayesian neural nets with rank-1 factors
M Dusenberry, G Jerfel, Y Wen, Y Ma, J Snoek, K Heller, ...
International Conference on Machine Learning, 2782-2792, 2020
612020
Bayesian layers: A module for neural network uncertainty
D Tran, MW Dusenberry, M van der Wilk, D Hafner
arXiv preprint arXiv:1812.03973, 2018
562018
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Artikelen 1–20