David Lanyi
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Materials Chemistry — 15 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Model Architectures — 13 citations into it
- Computational Chemistry & Drug Discovery — 12 citations into it
Whom David Lanyi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel M. Lowe
- Chin-Yew Lin
- David Weininger
- Alex Graves
- Ronald J. Williams
- J. Urgen Schmidhuber
- Sepp Hochreiter
- David Kristjanson Duvenaud
Papers from David Lanyi's perspective
Ordered by how strongly the researchers David Lanyi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)