Dominik Lemm

Molecular Biology · 2020

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

Subfields

• Molecular Biology — 37 citations into it

Whom Dominik Lemm trusts overall

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

1. W. Noid
2. Kristof T. Schütt
3. David Sculley
4. Diederik P. Kingma

Papers from Dominik Lemm's perspective

Ordered by how strongly the researchers Dominik Lemm 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Coarse graining molecular dynamics with graph neural networks. (2020) — 219 citations