Rubén Sánchez-García

Computational Chemistry & Drug Discovery · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Chemistry & Drug Discovery — 10 citations into it

Whom Rubén Sánchez-García trusts overall

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

1. L. V. D. van der Maaten
2. Darko Butina
3. Geoffrey E. Hinton

Papers from Rubén Sánchez-García's perspective

Ordered by how strongly the researchers Rubén Sánchez-García trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets
10. Molecular properties that influence the oral bioavailability of drug candidates. (Journal of Medicinal Chemistry)

Their papers

• Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search (2023) — 21 citations
• The use of a graph database is a complementary approach to a classical similarity search for identifying commercially available fragment merges (2022)