Peter Dueben
Atmospheric Science · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 25 citations into it; #1,866 of 4,804 by trust here, #2,179 by citations
- Global and Planetary Change — 22 citations into it; #3,763 of 10,225 by trust here, #5,068 by citations
Whom Peter Dueben trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephan Rasp
- Michael S. Pritchard
- Pierre Gentine
- Sepp Hochreiter
- Tilmann Gneiting
- Martin Leutbecher
- Geoffrey E. Hinton
- Tim N. Palmer
- Alex Graves
- Yann LeCun
Who trusts Peter Dueben overall
- Jonathan A. Weyn
- Dale R. Durran
- Lei Chen
- R. Caruana
- Karthik Kashinath
- Xiaohui Zhong
- Stephan Rasp
- Christian Schröder de Witt
- Tung Nguyen
- Feng-jun Zhang
Papers from Peter Dueben's perspective
Ordered by how strongly the researchers Peter Dueben trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dropout: a simple way to prevent neural networks from overfitting
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting (2020) — 725 citations
- Challenges and design choices for global weather and climate models based on machine learning (2018) — 372 citations