Harald Ruess

Safety, Robustness & Interpretability · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 12 citations into it
• Artificial Intelligence — 10 citations into it; #8,813 of 35,345 by trust here, #18,186 by citations

Whom Harald Ruess trusts overall

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

1. Xiaowei Huang
2. Luca Pulina
3. Ian J. Goodfellow
4. Yann LeCun
5. Nicolas Papernot
6. Ignacio E. Grossmann
7. Armando Tacchella
8. Geoffrey E. Hinton
9. Anh Totti Nguyen

Who trusts Harald Ruess overall

1. Matt Jordan
2. Huan Zhang
3. Vincent Tjeng
4. Kai Y. Xiao
5. Matteo Fischetti
6. Tsui-Wei Weng

Papers from Harald Ruess's perspective

Ordered by how strongly the researchers Harald Ruess 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. Explaining and Harnessing Adversarial Examples
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Maximum Resilience of Artificial Neural Networks (2017) — 304 citations