Bastian Pfeifer
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Genetics — 10 citations into it; #5,214 of 6,854 by trust here, #6,139 by citations
- Graph Learning — 10 citations into it
- Molecular Biology — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Bastian Pfeifer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heng Li
- Matthieu Foll
- C. Perez-Iratxeta
- Julio Rozas
- Pavlos Pavlidis
- Oscar E. Gaggiotti
- Miguel Andrade
- Emmanuel Paradis
- Thibaut Jombart
- Geoffrey E. Hinton
Who trusts Bastian Pfeifer overall
Papers from Bastian Pfeifer's perspective
Ordered by how strongly the researchers Bastian Pfeifer trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Visualizing and Understanding Convolutional Networks
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI (2021) — 307 citations
- PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses in R (2014) — 885 citations