Brian Milch

Artificial Intelligence · 2001–2006

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Milch trusts overall

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

  1. Avi Pfeffer
  2. Steffen L. Lauritzen
  3. Greg C. G. Wei
  4. Taisuke Sato
  5. Andrew McCallum
  6. Lawrence R. Rabiner
  7. Joseph Y. Halpern
  8. Max Henrion
  9. Judea Pearl
  10. Michael I. Jordan

Who trusts Brian Milch overall

  1. Vaishak Belle
  2. David Wingate
  3. Noah D. Goodman
  4. Stuart J. Russell
  5. Andreas Stuhlmüller
  6. Vikash K. Mansinghka
  7. Zoubin Ghahramani
  8. Luc De Raedt
  9. Nazanin Khosravani Tehrani
  10. Daniel Ritchie

Papers from Brian Milch's perspective

Ordered by how strongly the researchers Brian Milch 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers