Daniel Klotz

Water Science and Technology · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Water Science and Technology — 28 citations into it
• Environmental Engineering — 19 citations into it

Whom Daniel Klotz trusts overall

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

1. Hoshin V. Gupta
2. Leland McInnes
3. P. Lachenbruch
4. Mohammed Alquraishi
5. Sepp Hochreiter
6. Diederik P. Kingma
7. Keith Beven
8. Qingyun Duan
9. John Healy
10. C. Prieto

Papers from Daniel Klotz's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Dropout: a simple way to prevent neural networks from overfitting
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Axiomatic Attribution for Deep Networks
9. Learning Multiple Layers of Features from Tiny Images
10. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

Their papers

• What Role Does Hydrological Science Play in the Age of Machine Learning? (2020) — 596 citations
• Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning (2019) — 684 citations
• Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets (2019) — 893 citations
• Communications in Asteroseismology (2009) — 169 citations