Thorsten Kurth
Atmospheric Science · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 14 citations into it
- Global and Planetary Change — 10 citations into it
Whom Thorsten Kurth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Jimmy Ba
- Zong-Yi Li
- Ilya Sutskever
- Alexey Dosovitskiy
Who trusts Thorsten Kurth overall
Papers from Thorsten Kurth's perspective
Ordered by how strongly the researchers Thorsten Kurth trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Exascale Deep Learning for Climate Analytics (2018) — 284 citations
- Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere (2023) — 322 citations
- FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators (2022) — 407 citations