Jason Hickey

Statistical and Nonlinear Physics · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 7 citations into it; #6,115 of 10,127 by trust here, #4,633 by citations

Whom Jason Hickey trusts overall

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

1. J. Nathan Kutz
2. Steven L. Brunton

Who trusts Jason Hickey overall

1. Philipp Holl
2. Ricardo Vinuesa

Papers from Jason Hickey's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. WaveNet: A Generative Model for Raw Audio
6. Deep Learning
7. TensorFlow: A system for large-scale machine learning
8. Pixel Recurrent Neural Networks
9. FiLM: Visual Reasoning with a General Conditioning Layer
10. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Their papers

• MetNet: A Neural Weather Model for Precipitation Forecasting (2020) — 361 citations
• Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks (2021) — 55 citations
• Learning data-driven discretizations for partial differential equations (2018) — 609 citations