Collin Warner

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 25 citations into it
• Computational Mechanics — 12 citations into it
• Numerical Analysis — 6 citations into it

Whom Collin Warner trusts overall

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

1. Steven L. Brunton

Papers from Collin Warner's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Neural Ordinary Differential Equations
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Discovering governing equations from data by sparse identification of nonlinear dynamical systems
10. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)

Their papers

• Universal Differential Equations for Scientific Machine Learning (2020) — 823 citations