Luke Metz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
4
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | Transformer-Based Learned Optimization. | Erik Grtner, Luke Metz, Mykhaylo Andriluka, C. Daniel Freeman, Cristian Sminchisescu |
| 2022 | IJCAI | Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract). | Paul Vicol, Luke Metz, Jascha Sohl-Dickstein |
| 2021 | ICML | Learn2Hop: Learned Optimization on Rough Landscapes. | Amil Merchant, Luke Metz, Samuel S. Schoenholz, Ekin D. Cubuk |
| 2021 | ICML | On Linear Identifiability of Learned Representations. | Geoffrey Roeder, Luke Metz, Durk Kingma |
| 2021 | ICML | Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies. | Paul Vicol, Luke Metz, Jascha Sohl-Dickstein |
| 2019 | ICLR | Towards GAN Benchmarks Which Require Generalization. | Ishaan Gulrajani, Colin Raffel, Luke Metz |
| 2019 | ICLR | Meta-Learning Update Rules for Unsupervised Representation Learning. | Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein |
| 2019 | ICML | Guided evolutionary strategies: augmenting random search with surrogate gradients. | Niru Maheswaranathan, Luke Metz, George Tucker, Dami Choi, Jascha Sohl-Dickstein |
| 2019 | ICML | Understanding and correcting pathologies in the training of learned optimizers. | Luke Metz, Niru Maheswaranathan, Jeremy Nixon, C. Daniel Freeman, Jascha Sohl-Dickstein |
| 2018 | ICLR | Adversarial Spheres. | Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow |
| 2018 | ICLR | Learning to Learn Without Labels. | Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein |
| 2017 | ICLR | Unrolled Generative Adversarial Networks. | Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein |