Markus J. Buehler

Materials Chemistry · 2002–2023

A researcher in the Science corpus: 43 papers; trusts 89 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Markus J. Buehler trusts overall

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

  1. S. Plimpton
  2. P. Fratzl
  3. Huajian Gao
  4. Adri C. T. van Duin
  5. Alexander D. MacKerell
  6. Ole Sigmund
  7. Nicola Maria Pugno
  8. James C. Phillips
  9. T. Ackbarow
  10. J. Currey

Who trusts Markus J. Buehler overall

  1. F. Barthelat
  2. P. Fratzl
  3. Sinan Keten
  4. E. Hamed
  5. T. Ackbarow
  6. Horacio Espinosa
  7. Hao Wang
  8. Richard Weinkamer
  9. Oral Büyüköztürk
  10. M. Launey

Papers from Markus J. Buehler's perspective

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

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

Their papers