M. Wuthrich

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Representation & Self-Supervised Learning — 26 citations into it

Whom M. Wuthrich trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yann LeCun
4. Alex Krizhevsky
5. Aapo Hyvärinen
6. Yoshua Bengio
7. Jimmy Ba
8. Francesco Locatello
9. Ilya Sutskever
10. Kaiming He

Papers from M. Wuthrich's perspective

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

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

Their papers

• CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning (2020) — 149 citations
• On the Transfer of Disentangled Representations in Realistic Settings (2020) — 89 citations