Peter Sollich

Materials Chemistry · 1996–2016

A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Sollich trusts overall

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

  1. Christopher K. I. Williams
  2. Yann LeCun
  3. Bernhard Schölkopf
  4. David John Cameron MacKay
  5. C. Burges
  6. Alex Smola
  7. Yoshua Bengio
  8. Radford M. Neal
  9. Geoffrey E. Hinton
  10. Vladimir Naumovich Vapni

Who trusts Peter Sollich overall

  1. Volker Tresp
  2. Abdulkadir Canatar
  3. Blake Bordelon
  4. Si Wu
  5. Georg Dorffner
  6. A. Gordon
  7. Paulo Ricardo Lisboa de Almeida
  8. Juan P. Garrahan
  9. Yaoyao Liu
  10. Cengiz Pehlevan

Papers from Peter Sollich's perspective

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

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

Their papers