Johannes Fischer

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Speech & Audio — 9 citations into it
• Natural Language Processing — 5 citations into it

Whom Johannes Fischer trusts overall

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

1. Jacob Benesty
2. Diederik P. Kingma
3. Daniel W. Griffin
4. Jean-Marc Valin
5. Aäron van den Oord
6. Ryan J. Prenger
7. Nal Kalchbrenner
8. Zeyu Jin

Papers from Johannes Fischer's perspective

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

1. WaveNet: A Generative Model for Raw Audio
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Comparison of Recent Neural Vocoders for Speech Signal Reconstruction (2019) — 31 citations