S. Billeter

2000–2003

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

Whom S. Billeter trusts overall

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

1. Jorge Nocedal
2. Roger Fletcher

Who trusts S. Billeter overall

1. Hans Senn
2. Walter Thiel

Papers from S. Billeter's perspective

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

1. Algorithms for minimization without derivatives
2. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Learning
5. Updating Quasi-Newton Matrices With Limited Storage
6. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
7. Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
8. TRUST REGION METHODS
9. Reading Digits in Natural Images with Unsupervised Feature Learning
10. Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values

Their papers

• Efficient linear scaling geometry optimization and transition-state search for direct wavefunction optimization schemes in density functional theory using a plane-wave basis (2003) — 186 citations
• Linear scaling geometry optimisation and transition state search in hybrid delocalised internal coordinates (2000) — 415 citations