Pavol Drotár

Computational Theory and Mathematics · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 13 citations into it
• Molecular Biology — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Computational Chemistry & Drug Discovery — 7 citations into it
• Generative Models — 5 citations into it

Whom Pavol Drotár trusts overall

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

1. Brian K. Shoichet
2. Diederik P. Kingma
3. Teague Sterling
4. Nicola De Cao
5. R. Quiroga
6. Matt J. Kusner
7. John J. Irwin
8. Michael M. Mysinger
9. Max Welling
10. Qi Liu

Who trusts Pavol Drotár overall

1. Hannes Stärk

Papers from Pavol Drotár's perspective

Ordered by how strongly the researchers Pavol Drotár 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Structure-aware generation of drug-like molecules (2021) — 21 citations