Felix Biessmann
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #35,119 of 35,345 by trust here, #12,974 by citations
- Management Science and Operations Research — 18 citations into it
- Computer Networks and Communications — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Safety, Robustness & Interpretability — 10 citations into it; #2,247 of 2,251 by trust here, #1,220 by citations
- Information Systems and Management — 8 citations into it
- Sociology and Political Science — 8 citations into it
Whom Felix Biessmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- David Gefen
- V. Venkatesh
- Matthew D. Zeiler
- Karen Simonyan
- Grgoire Montavon
- Geoffrey E. Hinton
- Stefan Palan
- Rob Fergus
- Alex Krizhevsky
Who trusts Felix Biessmann overall
Papers from Felix Biessmann's perspective
Ordered by how strongly the researchers Felix Biessmann trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- On the interpretation of weight vectors of linear models in multivariate neuroimaging (2014) — 1,365 citations
- Automating Large-Scale Data Quality Verification (2018) — 296 citations
- Transparency and trust in artificial intelligence systems (2020) — 342 citations