Daniel Probst

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 21 citations into it
• Materials Chemistry — 13 citations into it

Whom Daniel Probst trusts overall

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

1. Sereina Riniker
2. Connor W. Coley

Papers from Daniel Probst's perspective

Ordered by how strongly the researchers Daniel Probst trusts endorse each paper. Same corpus, a different order for every researcher.

1. Prediction of Organic Reaction Outcomes Using Machine Learning
2. Computer-Assisted Retrosynthesis Based on Molecular Similarity
3. Open-source platform to benchmark fingerprints for ligand-based virtual screening
4. HMDB 4.0: the human metabolome database for 2018 (Nucleic Acids Res.)
5. Secure Hash Standard
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• One molecular fingerprint to rule them all: drugs, biomolecules, and the metabolome (2020) — 315 citations
• Mapping the space of chemical reactions using attention-based neural networks (2020) — 318 citations