Zeno Schätzle

Atomic and Molecular Physics, and Optics · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Atomic and Molecular Physics, and Optics — 13 citations into it; #5,780 of 7,135 by trust here, #5,314 by citations

Whom Zeno Schätzle trusts overall

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

1. Diederik P. Kingma
2. Ilya Loshchilov
3. N. Drummond
4. Kristof T. Schütt
5. Jimmy Ba

Who trusts Zeno Schätzle overall

1. Oliver T. Unke

Papers from Zeno Schätzle's perspective

Ordered by how strongly the researchers Zeno Schätzle 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Decoupled Weight Decay Regularization
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Deep-neural-network solution of the electronic Schrödinger equation (2019) — 551 citations