Edison Guo

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Edison Guo trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Urgen Schmidhuber (in Artificial Intelligence)
2. Justin Domke (in Mathematical Optimization)
3. Thomas Pock (in Computer Vision and Pattern Recognition)

Papers from Edison Guo's perspective

Ordered by how strongly the researchers Edison Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Generic Methods for Optimization-Based Modeling
3. Deep learning in neural networks: An overview
4. Efficient multiple hyperparameter learning for log-linear models
5. Convex Optimization
6. Bilevel Optimization with Nonsmooth Lower Level Problems
7. Learning optimized MAP estimates in continuously-valued MRF models
8. Practical Bilevel Optimization: Algorithms and Applications
9. Three-Dimensional Computer Vision
10. Discriminative Hierarchical Rank Pooling for Activity Recognition

Their papers

• On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization (2016) — 249 citations