Clemens Otte

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #15,888 of 35,345 by trust here, #26,682 by citations

Whom Clemens Otte trusts overall

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

1. Martin A. Riedmiller
2. Carl E. Rasmussen
3. Jerome H. Friedman
4. Thomas G. Dietterich
5. Marc Peter Deisenroth
6. Trevor J. Hastie
7. Charles M. Bishop
8. Brian J. Taylor
9. Sascha Lange
10. James Hensman

Who trusts Clemens Otte overall

1. Alun David Preece
2. John Danaher
3. Finale Doshi-Velez
4. Bishwamittra Ghosh
5. Been Kim
6. Ronghang Hu
7. David Hall

Papers from Clemens Otte's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
8. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Safe and Interpretable Machine Learning: A Methodological Review (2013) — 59 citations
• Interpretable Dynamics Models for Data-efficient Reinforcement Learning (2019) — 4 citations