Fabrice Muhlenbach

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Fabrice Muhlenbach trusts overall

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

  1. Carla E. Brodley
  2. Thomas M. Cover
  3. Mark A. Friedl
  4. David William Aha
  5. D. Randall Wilson
  6. J. Ross Quinlan
  7. Dennis F. Kibler
  8. Tony R. Martinez
  9. Quoc V. Le
  10. Anil K. Jain

Who trusts Fabrice Muhlenbach overall

  1. Benoît Frénay
  2. Shiqi Shen
  3. Hunter Lang
  4. Isaac Triguero
  5. Zhi-Hua Zhou
  6. Michel Verleysen
  7. Jakramate Bootkrajang
  8. Shruti Tople
  9. Monica Agrawal
  10. José A. Sáez

Papers from Fabrice Muhlenbach's perspective

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

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

Their papers