Michal Keller
Nuclear and High Energy Physics · 1960
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nuclear and High Energy Physics — 17 citations into it
- Automotive Engineering — 12 citations into it
- Artificial Intelligence — 8 citations into it
- Building and Construction — 6 citations into it
- Ecology — 6 citations into it
- Transportation — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Michal Keller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Stevens
- Carole A. Goble
- P. Huovinen
- Jean-François Cordeau
- Sean Bechhofer
- D. Teaney
- T. Dempster
- Laurent Younes
- Li Yan
- Wolfgang Meier
Who trusts Michal Keller overall
- Yoav Levine
- Christian S. Perone
- Roberto Silveira
- Noam Wies
- Thomas S. Paula
- Or Sharir
- Andreas Ruckl'e
- Mohammad Wajeeh Alomari
- Hofit Bata
Papers from Michal Keller's perspective
Ordered by how strongly the researchers Michal Keller trusts endorse each paper. Same corpus, a different order for every researcher.
- Ontology-based Knowledge Representation for Bioinformatics (Briefings Bioinform.)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Efficient Estimation of Word Representations in Vector Space
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Technical (1960)