Felix J. Herrmann

Computational Mechanics · 2007–2015

A researcher in the Science corpus: 10 papers; trusts 56 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 69 citations into it; #1,051 of 10,001 by trust here, #2,309 by citations
• Computer Vision and Pattern Recognition — 64 citations into it; #4,408 of 21,575 by trust here, #7,657 by citations
• Geophysics — 49 citations into it; #50 of 1,958 by trust here, #148 by citations
• Ocean Engineering — 25 citations into it; #968 of 3,193 by trust here, #1,204 by citations
• Applied Mathematics — 23 citations into it
• Optimization & Training — 23 citations into it
• Signal Processing — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom Felix J. Herrmann trusts overall

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

1. David L. Donoho
2. E.J. Candes
3. William W. Symes
4. Michael Elad
5. Stéphane Mallat
6. Jean-Luc Starck
7. Joel A. Tropp
8. Robert Tibshirani
9. Justin K. Romberg
10. Scott Shaobing Chen

Who trusts Felix J. Herrmann overall

1. Jianwei Ma
2. Gilles Hennenfent
3. Nadia Kreimer
4. Siwei Yu
5. Yanfei Wang
6. R. Sternfels
7. Gerlind Plonka-Hoch
8. Benfeng Wang
9. Mauricio D. Sacchi
10. Yi Yang

Papers from Felix J. Herrmann's perspective

Ordered by how strongly the researchers Felix J. Herrmann 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
5. A wavelet tour of signal processing
6. ImageNet classification with deep convolutional neural networks
7. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Compressed Sensing
10. Decoding by linear programming

Their papers

• Efficient matrix completion for seismic data reconstruction (2015) — 86 citations
• Mitigating local minima in full-waveform inversion by expanding the search space (2013) — 327 citations
• A new optimization approach for source-encoding full-waveform inversion (2013) — 51 citations
• Fast randomized full-waveform inversion with compressive sensing (2012) — 103 citations
• A Hybrid Stochastic-deterministic Optimization Method for Waveform Inversion (2011) — 7 citations
• Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach (2010) — 141 citations
• Simply denoise: Wavefield reconstruction via jittered undersampling (2008) — 323 citations
• Sparsity- and continuity-promoting seismic image recovery with curvelet frames (2008) — 134 citations
• Non-parametric seismic data recovery with curvelet frames (2008) — 532 citations
• Non-linear primary-multiple separation with directional curvelet frames (2007) — 125 citations