Luke Metz
Luke Metz
Google Brain
Verified email at google.com - Homepage
TitleCited byYear
Unsupervised representation learning with deep convolutional generative adversarial networks
A Radford, L Metz, S Chintala
ICLR 2016, 2015
52892015
Began: Boundary equilibrium generative adversarial networks
D Berthelot, T Schumm, L Metz
arXiv preprint arXiv:1703.10717, 2017
6062017
Adversarial spheres
J Gilmer, L Metz, F Faghri, SS Schoenholz, M Raghu, M Wattenberg, ...
arXiv preprint arXiv:1801.02774, 2018
1302018
Unrolled generative adversarial networks (Note citations incorrectly merged with Stack GAN.)
L Metz, B Poole, D Pfau, J Sohl-Dickstein
ICLR 2017, 2016
80*2016
Discrete Sequential Prediction of Continuous Actions for Deep RL
L Metz, J Ibarz, N Jaitly, J Davidson
arXiv preprint arXiv:1705.05035, 2017
342017
Meta-Learning Update Rules for Unsupervised Representation Learning
L Metz, N Maheswaranathan, B Cheung, J Sohl-Dickstein
ICLR 2019, 2018
31*2018
Guided evolutionary strategies: Augmenting random search with surrogate gradients
N Maheswaranathan, L Metz, G Tucker, D Choi, J Sohl-Dickstein
International Conference on Machine Learning, 2019
15*2019
Understanding and correcting pathologies in the training of learned optimizers
L Metz, N Maheswaranathan, J Nixon, D Freeman, J Sohl-Dickstein
International Conference on Machine Learning, 4556-4565, 2019
8*2019
Towards GAN Benchmarks Which Require Generalization
I Gulrajani, C Raffel, L Metz
ICLR 2019, 2018
4*2018
Visualizing with t-SNE
L Metz
Indico. Web 25, 2015
32015
Learning an Adaptive Learning Rate Schedule
Z Xu, AM Dai, J Kemp, L Metz
arXiv preprint arXiv:1909.09712, 2019
2019
Using learned optimizers to make models robust to input noise
L Metz, N Maheswaranathan, J Shlens, J Sohl-Dickstein, ED Cubuk
ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, 2019
2019
Meta-Learning Biologically Plausible Semi-Supervised Update Rules
K Gu, S Greydanus, L Metz, N Maheswaranathan, J Sohl-Dickstein
bioRxiv, 2019
2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
D Freeman, D Ha, L Metz
Advances in Neural Information Processing Systems, 5380-5391, 2019
2019
Compositional Pattern Producing GAN
L Metz, I Gulrajani
NIPS Workshop on Machine Learning for Creativity and Design, 2017
2017
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Articles 1–15