Kjersti Engan
Computational Mechanics · 2003–2010
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 11 citations into it; #797 of 10,001 by trust here, #803 by citations
- Signal Processing — 11 citations into it; #870 of 7,572 by trust here, #874 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it; #5,285 of 21,575 by trust here, #5,843 by citations
- Optimization & Training — 6 citations into it
Whom Kjersti Engan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stéphane Mallat
- Bhaskar D. Rao
- Ingrid Daubechies
- David J. Field
- L. Eon Bottou
- Zhifeng Zhang
- David L. Donoho
- Barbara Olshausen
- Michal Aharon
- Shane F. Cotter
Who trusts Kjersti Engan overall
- David Paul Wipf
- Zhilin Zhang
- Bhaskar D. Rao
- Matthieu Kowalski
- Yonina C. Eldar
- Alfred Marcel Bruckstein
- Moshe Mishali
- Michal Aharon
- Michael Elad
- Srikantan S. Nagarajan
Papers from Kjersti Engan's perspective
Ordered by how strongly the researchers Kjersti Engan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- ImageNet: A large-scale hierarchical image database
- Sparse coding with an overcomplete basis set: a strategy employed by V1?
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Dictionary Learning Algorithms for Sparse Representation (2003) — 932 citations
- Recursive Least Squares Dictionary Learning Algorithm (2010) — 397 citations
- Sparse solutions to linear inverse problems with multiple measurement vectors (2005) — 1,455 citations
- Subset selection in noise based on diversity measure minimization (2003) — 342 citations