Pierrick J. Arnal
Cognitive Neuroscience · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 18 citations into it
- Artificial Intelligence — 9 citations into it
- Signal Processing — 8 citations into it
Whom Pierrick J. Arnal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pierrick J. Arnal's perspective
Ordered by how strongly the researchers Pierrick J. Arnal trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Deep Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Visualizing and Understanding Convolutional Networks
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Striving for Simplicity: The All Convolutional Net
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series (2017) — 565 citations
- Sleep and exercise: a reciprocal issue? (2015) — 654 citations