J. A. G. Higuera
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #27,462 of 35,345 by trust here, #30,347 by citations
- Reinforcement Learning — 20 citations into it; #1,857 of 2,242 by trust here, #2,092 by citations
- Computational Theory and Mathematics — 9 citations into it
- Control and Systems Engineering — 9 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom J. A. G. Higuera trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yarin Gal
- Geoffrey E. Hinton
- Carl E. Rasmussen
- Alex Krizhevsky
- Ilya Sutskever
- Timothy P. Lillicrap
- Yoshua Bengio
- Jimmy Ba
- Marc Peter Deisenroth
Who trusts J. A. G. Higuera overall
Papers from J. A. G. Higuera's perspective
Ordered by how strongly the researchers J. A. G. Higuera trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning (2018) — 41 citations
- Learning legged swimming gaits from experience (2015) — 41 citations