Tom Söderström

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Tom Söderström trusts

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

1. Alexander Lavin (in Artificial Intelligence)
2. Subutai Ahmad (in Artificial Intelligence)

Papers from Tom Söderström's perspective

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

1. Long Short-Term Memory
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Et al
4. Speech recognition with deep recurrent neural networks
5. Deep Learning
6. Anomaly detection: A survey
7. Supervised Sequence Labelling with Recurrent Neural Networks
8. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
9. Long Short Term Memory Networks for Anomaly Detection in Time Series (The European Symposium on Artificial Neural Networks)
10. Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Their papers

• Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018) — 1,881 citations