Felix Mohr

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #16,766 of 35,345 by trust here, #23,731 by citations

Whom Felix Mohr trusts overall

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

1. Frank Hutter
2. Holger H. Hoos
3. Chris J. Thornton
4. Kevin Leyton-Brown
5. Matthias Feurer
6. A. D. Sá
7. James Robert Lloyd
8. Lars Kotthoff
9. James Bergstra
10. Brent Komer

Who trusts Felix Mohr overall

1. Marc-André Zöller
2. Bernd Bischl
3. Marco F. Huber
4. Matthias Feurer
5. Marcel Wever
6. Frank Hutter
7. Aaron Klein
8. Joaquin Vanschoren
9. Giuseppe Casalicchio

Papers from Felix Mohr's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• ML-Plan: Automated machine learning via hierarchical planning (2018) — 182 citations
• ML-Plan for Unlimited-Length Machine Learning Pipelines (2018) — 23 citations