Berend J. H. Huisman

Computational Theory and Mathematics · 2017–2020

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

Subfields

• Computational Theory and Mathematics — 27 citations into it; #12,098 of 12,182 by trust here, #3,117 by citations
• Molecular Biology — 20 citations into it; #17,490 of 17,773 by trust here, #9,727 by citations

Whom Berend J. H. Huisman trusts overall

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

1. Diederik P. Kingma
2. Sepp Hochreiter
3. X. Liu
4. Gisbert Schneider

Who trusts Berend J. H. Huisman overall

1. Gisbert Schneider

Papers from Berend J. H. Huisman's perspective

Ordered by how strongly the researchers Berend J. H. Huisman 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. Gradient-based learning applied to document recognition
4. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Generative Recurrent Networks for De Novo Drug Design (2017) — 453 citations
• Combining generative artificial intelligence and on-chip synthesis for de novo drug design (2020) — 144 citations