Leslie Vogt
Artificial Intelligence · with Aspuru-Guzik · 2011–2016
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Leslie Vogt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Leslie Vogt overall
Papers from Leslie Vogt's perspective
Ordered by how strongly the researchers Leslie Vogt trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Pattern Recognition and Machine Learning
- In Advances in Neural Information Processing Systems
- Handbook of Molecular Descriptors
- COMPUTATIONAL MATERIALS SCIENCE XI
- The journal of physical chemistry letters
- A Chemist's Guide to Density Functional Theory
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Materials Genome Initiative for Global Competitiveness
Their papers
- The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid (2011) — 616 citations
- Bypassing the Kohn-Sham equations with machine learning (2016) — 663 citations
- Advances in molecular quantum chemistry contained in the Q-Chem 4 program package (2014) — 2,677 citations