Christopher Laporte
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Christopher Laporte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Christopher Laporte's perspective
Ordered by how strongly the researchers Christopher Laporte trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Et al
- Speech recognition with deep recurrent neural networks
- 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
- Deep Learning
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018) — 1,881 citations