C. Huber

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Geophysics — 11 citations into it
• Aerospace Engineering — 6 citations into it
• Computational Mechanics — 6 citations into it

Whom C. Huber trusts overall

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

1. Ameya Dilip Jagtap
2. G. Em Karniadakis
3. René-Edouard Plessix
4. Khemraj Shukla
5. Shengze Cai
6. Diederik P. Kingma
7. Maizar Raissi
8. Dimitri Komatitsch
9. Levi D. McClenny
10. Paris Perdikaris

Papers from C. Huber's perspective

Ordered by how strongly the researchers C. Huber 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. Automatic differentiation in PyTorch
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. TensorFlow: A system for large-scale machine learning
7. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
8. Learning Multiple Layers of Features from Tiny Images
9. Physics-Informed Neural Networks for Heat Transfer Problems (Journal of heat transfer)
10. Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

Their papers

• Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions (2021) — 401 citations