David J. Biagioni

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it
• Computational Mathematics — 14 citations into it
• Computational Mechanics — 14 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Signal Processing — 11 citations into it
• Analytical Chemistry — 9 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom David J. Biagioni trusts overall

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

1. Robert Tibshirani
2. Stéphane Mallat
3. Joel A. Tropp
4. Ingrid Daubechies
5. Rasmus Bro
6. Wolfgang Hackbusch
7. Gregory Beylkin
8. E.J. Candes
9. Per-Gunnar Martinsson
10. Boaz Nadler

Papers from David J. Biagioni's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Atomic Decomposition by Basis Pursuit
3. A wavelet tour of signal processing
4. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. The Elements of Statistical Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Estimating the Dimension of a Model

Their papers

• Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations (2012) — 5 citations