Jonathan Vandermause

Computational Theory and Mathematics · 2019

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

Subfields

• Computational Theory and Mathematics — 12 citations into it

Whom Jonathan Vandermause trusts overall

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

1. Carl E. Rasmussen
2. Joaquin Quiñonero Candela
3. Linfeng Zhang
4. Justin S. Smith
5. A. P. Bart'ok
6. J. Behler

Papers from Jonathan Vandermause's perspective

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

1. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
2. Gaussian Processes in Machine Learning
3. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol
4. A and V
5. A Unifying View of Sparse Approximate Gaussian Process Regression
6. End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems (Neural Information Processing Systems)
7. and s
8. Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning (Nature Communications)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Deep Learning

Their papers

• On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events (2019) — 424 citations