Jordan S. Read

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Jordan S. Read trusts overall

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

1. Paul J. Werbos
2. Diederik P. Kingma
3. Sepp Hochreiter
4. J. Urgen Schmidhuber
5. Jimmy Ba
6. Matthew D. Zeiler
7. Felix Alexander Gers
8. Dumitru Erhan
9. Yoshua Bengio
10. Geoffrey E. Hinton

Who trusts Jordan S. Read overall

1. Jared D. Willard
2. Xiaowei Jia

Papers from Jordan S. Read's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Et al
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Process‐Guided Deep Learning Predictions of Lake Water Temperature (2019) — 329 citations
• The metabolic regimes of flowing waters (2018) — 324 citations
• Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling (2017) — 661 citations
• A Global Lake Ecological Observatory Network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological models (2015) — 85 citations
• Derivation of lake mixing and stratification indices from high-resolution lake buoy data (2011) — 441 citations