Niklas W. A. Gebauer

Materials Chemistry · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 32 citations into it
• Computational Theory and Mathematics — 24 citations into it
• Computational Chemistry & Drug Discovery — 17 citations into it
• Atomic and Molecular Physics, and Optics — 11 citations into it
• AI for Physical Sciences — 6 citations into it

Whom Niklas W. A. Gebauer trusts overall

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

1. Kristof T. Schütt
2. Frank Neese
3. David Weininger
4. Florian Weigend
5. J. Perdew
6. Michael Gastegger
7. Lars Ruddigkeit
8. Noel M. O'Boyle
9. Alexandre Tkatchenko
10. Reinhart Ahlrichs

Who trusts Niklas W. A. Gebauer overall

1. Emiel Hoogeboom
2. Victor Garcia Satorras

Papers from Niklas W. A. Gebauer's perspective

Ordered by how strongly the researchers Niklas W. A. Gebauer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Deep Learning
6. Open Babel: An open chemical toolbox
7. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Inverse design of 3d molecular structures with conditional generative neural networks (2021) — 228 citations