Á. Vázquez-Mayagoitia

Computational Chemistry & Drug Discovery · 2013–2020

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

Subfields

• Computational Chemistry & Drug Discovery — 32 citations into it; #368 of 425 by trust here, #146 by citations

Whom Á. Vázquez-Mayagoitia trusts overall

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

1. M. Ernzerhof
2. J. Perdew

Who trusts Á. Vázquez-Mayagoitia overall

1. Grgoire Montavon

Papers from Á. Vázquez-Mayagoitia's perspective

Ordered by how strongly the researchers Á. Vázquez-Mayagoitia trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. A Model of Inductive Bias Learning
3. Phoneme recognition using time-delay neural networks
4. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
5. Neural Networks: Tricks of the Trade
6. Learning representations by back-propagation errors, nature
7. The Blue Obelisk—Interoperability in Chemical Informatics
8. Quantum-chemical insights from deep tensor neural networks
9. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
10. QSAR Comparative Study of Wiener Descriptors for Weighted Molecular Graphs

Their papers

• Machine learning of molecular electronic properties in chemical compound space (2013) — 659 citations
• QM7-X: A comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules (2020) — 90 citations