Lukas Galke Poech
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #35,342 of 35,345 by trust here, #34,943 by citations
- Graph Learning — 13 citations into it
- Statistical and Nonlinear Physics — 12 citations into it
Whom Lukas Galke Poech trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Thomas Kipf
- Mark Newman
- Yoshua Bengio
- Xavier Glorot
- Max Welling
- Petar Velickovic
- William L. Hamilton
- Geoffrey E. Hinton
- Jimmy Ba
Papers from Lukas Galke Poech's perspective
Ordered by how strongly the researchers Lukas Galke Poech trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)