Dirk A. Lorenz
Computational Mechanics · 2007–2019
A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 45 citations into it; #800 of 10,001 by trust here, #1,651 by citations
- Mathematical Physics — 36 citations into it; #603 of 8,562 by trust here, #831 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Computational Theory and Mathematics — 19 citations into it; #1,251 of 12,182 by trust here, #2,761 by citations
- Optimization & Training — 16 citations into it
- Numerical Analysis — 15 citations into it
- Mathematical Optimization — 14 citations into it
- Applied Mathematics — 13 citations into it
Whom Dirk A. Lorenz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Yurii E. Nesterov
- Elena Resmerita
- Ingrid Daubechies
- Antonin Chambolle
- Thomas Pock
- Heinz H. Bauschke
- Michael Elad
- Patrick L. Combettes
- Pierre-Louis Lions
Who trusts Dirk A. Lorenz overall
- Antonin Chambolle
- Markus Grasmair
- Hédy Attouch
- Bangti Jin
- Prasit Cholamjiak
- Kristian Bredies
- Otmar Scherzer
- Charles Dossal
- Yekini Shehu
- Peter Maass
Papers from Dirk A. Lorenz's perspective
Ordered by how strongly the researchers Dirk A. Lorenz trusts endorse each paper. Same corpus, a different order for every researcher.
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Atomic Decomposition by Basis Pursuit
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Monotone Operators and the Proximal Point Algorithm
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Linear Convergence of Iterative Soft-Thresholding (2007) — 294 citations
- An Inertial Forward-Backward Algorithm for Monotone Inclusions (2014) — 506 citations
- Regularization with non-convex separable constraints (2009) — 140 citations
- Entropic regularization of continuous optimal transport problems (2019) — 57 citations
- Convergence rates and source conditions for Tikhonov regularization with sparsity constraints (2008) — 169 citations