Martin Luessi
Cognitive Neuroscience · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 40 citations into it
- Signal Processing — 26 citations into it; #6,402 of 7,572 by trust here, #1,460 by citations
- Computational Mechanics — 23 citations into it; #8,453 of 10,001 by trust here, #7,501 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Statistics and Probability — 6 citations into it
Whom Martin Luessi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Arnaud Delorme
- Robert Oostenveld
- Aapo Hyvärinen
- E.J. Candes
- Matthew J. Beal
- David Paul Wipf
- Zhouchen Lin
- Bruce Fischl
- Eric Maris
Who trusts Martin Luessi overall
- Thierry Bouwmans
- Qi Xie
- Charlotte Caucheteux
- Qibin Zhao
- Niloufar Zebarjadi
- Elisa Magosso
- Tijl Grootswagers
Papers from Martin Luessi's perspective
Ordered by how strongly the researchers Martin Luessi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- MNE software for processing MEG and EEG data (2013) — 1,925 citations
- MEG and EEG data analysis with MNE-Python (2013) — 3,690 citations
- Sparse Bayesian Methods for Low-Rank Matrix Estimation (2011) — 304 citations