Moritz Grosse-Wentrup
Cognitive Neuroscience · 2008–2017
A researcher in the Science corpus: 9 papers; trusts 39 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 41 citations into it; #1,754 of 10,852 by trust here, #3,802 by citations
- Artificial Intelligence — 27 citations into it
- Causal Inference & Discovery — 19 citations into it; #341 of 364 by trust here, #295 by citations
- Cellular and Molecular Neuroscience — 18 citations into it; #2,905 of 2,998 by trust here, #2,200 by citations
- Signal Processing — 14 citations into it; #1,690 of 7,572 by trust here, #4,051 by citations
- Probabilistic & Bayesian Methods — 13 citations into it
- Statistics and Probability — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Moritz Grosse-Wentrup trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Herbert Ramoser
- Bernhard Schölkopf
- Peter M. Bentler
- J. F. Berge
- Arthur Gretton
- Gert Pfurtscheller
- Peter Spirtes
- Kenji Fukumizu
- Jonathan R. Wolpaw
- J. Müller-Gerking
Who trusts Moritz Grosse-Wentrup overall
- Yousef Rezaei Tabar
- Kai Keng Ang
- Cuntai Guan
- Fabien Lotte
- Dongrui Wu
- Alexandre Barachant
- Steven Lemm
- Mahnaz Arvaneh
- Hauke Dose
- Qiang Yang
Papers from Moritz Grosse-Wentrup's perspective
Ordered by how strongly the researchers Moritz Grosse-Wentrup 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
- Long Short-Term Memory
- Et al
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
Their papers
- UvA-DARE ( Digital Academic Repository ) Causal Consistency of Structural Equation Models (2017) — 172 citations
- Quantifying causal influences (2012) — 239 citations
- Transfer Learning in Brain-Computer Interfaces (2015) — 444 citations
- Causal and anti-causal learning in pattern recognition for neuroimaging (2015) — 15 citations
- Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI (2011) — 524 citations
- Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery (2011) — 188 citations
- Causal influence of gamma oscillations on the sensorimotor rhythm (2011) — 121 citations
- Multitask Learning for Brain-Computer Interfaces (2010) — 98 citations
- Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction (2008) — 390 citations