Werner Uwents

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Graph Learning — 7 citations into it
• Model Architectures — 7 citations into it

Whom Werner Uwents trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alessio Micheli
2. Franco Scarselli
3. Marco Gori
4. Alessandro Sperduti
5. Paul J. Werbos
6. Jon M. Kleinberg
7. Fernando J. Pineda
8. Martin A. Riedmiller
9. Barbara Hammer
10. Paolo Frasconi

Papers from Werner Uwents's perspective

Ordered by how strongly the researchers Werner Uwents trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. The Graph Neural Network Model
4. A general framework for adaptive processing of data structures
5. Gradient-based learning applied to document recognition
6. Statistical Learning Theory
7. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning long-term dependencies with gradient descent is difficult
10. Long Short-Term Memory

Their papers

• Neural networks for relational learning: an experimental comparison (2011) — 39 citations