Jes Frellsen
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 3 papers; trusts 91 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Molecular Biology — 17 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
- Generative Models — 16 citations into it
- Statistics and Probability — 10 citations into it
Whom Jes Frellsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Max Welling
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Danilo Jimenez Rezende
- Alex Krizhevsky
- Tim Salimans
- Yann LeCun
- Jimmy Ba
Who trusts Jes Frellsen overall
- Michaël Defferrard
- Yu-Chuan Su
- Taco Cohen
- Nathanael Perraudin
- Bian Li
- Min Liu
- Namrata Anand-Achim
- Lasse Borgholt
- Raphael R. Eguchi
- Namrata Anand
Papers from Jes Frellsen's perspective
Ordered by how strongly the researchers Jes Frellsen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized (2010) — 80 citations
- MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets (2019) — 339 citations
- Spherical convolutions and their application in molecular modelling (2017) — 95 citations