Susanne Still

Artificial Intelligence · 2003–2012

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #26,800 of 35,345 by trust here, #33,294 by citations
• Reinforcement Learning — 12 citations into it; #852 of 2,242 by trust here, #1,319 by citations
• Information Theory — 5 citations into it

Whom Susanne Still trusts overall

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

1. Naftali Tishby
2. Robert Tibshirani
3. M. Stone
4. Richard S. Sutton
5. Padhraic Smyth
6. William Bialek
7. Michael Kearns
8. Satinder Singh
9. Ronen I. Brafman
10. Andrew Barto

Who trusts Susanne Still overall

1. Roy Fox
2. Deepak Pathak
3. Karl J. Friston
4. Yuri Burda
5. Ari Pakman
6. Marc G. Bellemare
7. Amy Zhang
8. Alexandre Galashov
9. Naftali Tishby
10. Doina Precup

Papers from Susanne Still's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• How Many Clusters? An Information-Theoretic Perspective (2003) — 148 citations
• An information-theoretic approach to curiosity-driven reinforcement learning (2012) — 222 citations