Sebastian Scher

Atmospheric Science · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Scher trusts overall

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

  1. Sepp Hochreiter
  2. Tilmann Gneiting
  3. Martin Leutbecher

Papers from Sebastian Scher's perspective

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

  1. Long Short-Term Memory
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Generating Sequences With Recurrent Neural Networks
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. WaveNet: A Generative Model for Raw Audio
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Image-to-Image Translation with Conditional Adversarial Networks

Their papers