Fabian-Robert Stöter

Signal Processing · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Fabian-Robert Stöter trusts overall

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

  1. Emmanuel Vincent
  2. Stefan Uhlich
  3. Justin Salamon
  4. Po-Sen Huang
  5. Alexey Ozerov
  6. Franck Giron
  7. Antoine Liutkus
  8. Yuki Mitsufuji
  9. Emilia G'omez
  10. Jon Barker

Who trusts Fabian-Robert Stöter overall

  1. Naoya Takahashi
  2. David Samuel
  3. Romain Hennequin
  4. Yuki Mitsufuji
  5. Jen-Yu Liu
  6. Simon Rouard
  7. Eliya Nachmani
  8. Daniel Stoller
  9. Francesc Lluís
  10. Jonathan Le Roux

Papers from Fabian-Robert Stöter's perspective

Ordered by how strongly the researchers Fabian-Robert Stöter trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep neural network based instrument extraction from music
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
  6. Learning Multiple Layers of Features from Tiny Images
  7. Performance measurement in blind audio source separation
  8. The PASCAL CHiME speech separation and recognition challenge
  9. Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research
  10. A General Flexible Framework for the Handling of Prior Information in Audio Source Separation (IEEE Transactions on Audio, Speech, and Language Processing)

Their papers