Simon Welker

Signal Processing · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 26 citations into it
• Artificial Intelligence — 18 citations into it
• Cognitive Neuroscience — 10 citations into it

Whom Simon Welker trusts overall

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

1. Diederik P. Kingma
2. Chandan K. A. Reddy
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Andrew Brock
6. Yoshua Bengio
7. Robin Scheibler
8. Alex Krizhevsky
9. Pascal Vincent
10. Karen Simonyan

Papers from Simon Welker's perspective

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

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

Their papers

• Speech Enhancement and Dereverberation With Diffusion-Based Generative Models (2022) — 389 citations