Mikhail A. Langovoy

Materials Chemistry · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 18 citations into it
• Atomic and Molecular Physics, and Optics — 10 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom Mikhail A. Langovoy trusts overall

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

1. Leo Breiman
2. Michalis K. Titsias
3. Bradley Efron
4. John Fox
5. J. Behler
6. A. P. Bart'ok
7. Michele Ceriotti
8. Volker L. Deringer
9. Gábor Csányi

Papers from Mikhail A. Langovoy's perspective

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

1. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression
2. Variational Learning of Inducing Variables in Sparse Gaussian Processes
3. Bagging Predictors
4. A Bayesian Committee Machine (Neural Computation)
5. Estimating the Dimension of a Model
6. Bootstrap Methods: Another Look at the Jackknife
7. Comparing molecules and solids across structural and alchemical space.
8. Machine learning based interatomic potential for amorphous carbon
9. Representing potential energy surfaces by high-dimensional neural network potentials
10. Machine Learning a General-Purpose Interatomic Potential for Silicon (Physical Review X)

Their papers

• Fast and Accurate Uncertainty Estimation in Chemical Machine Learning. (2018) — 148 citations