Peter Bjørn Jørgensen
Electrical and Electronic Engineering · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 50 citations into it
- Materials Chemistry — 32 citations into it; #7,571 of 11,513 by trust here, #10,845 by citations
- Computational Theory and Mathematics — 24 citations into it; #9,590 of 12,182 by trust here, #9,306 by citations
- Artificial Intelligence — 16 citations into it
- Molecular Biology — 13 citations into it
- Computational Chemistry & Drug Discovery — 11 citations into it; #290 of 425 by trust here, #393 by citations
- Graph Learning — 7 citations into it; #544 of 693 by trust here, #650 by citations
Whom Peter Bjørn Jørgensen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kristof T. Schütt
- Chris H. Rycroft
- Diederik P. Kingma
- Marco Gori
- Tian Xie
- Franco Scarselli
- Alexandre Tkatchenko
- Matthias Rupp
- Justin Gilmer
- Jimmy Ba
Who trusts Peter Bjørn Jørgensen overall
Papers from Peter Bjørn Jørgensen's perspective
Ordered by how strongly the researchers Peter Bjørn Jørgensen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials (2018) — 86 citations
- Artificial Intelligence Applied to Battery Research: Hype or Reality? (2021) — 392 citations