Michael P. Brenner

Computational Mechanics · Proceedings of the National Academy of Sciences of the United States of America · 2001–2021

A researcher in the Science corpus: 14 papers; trusts 20 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Michael P. Brenner trusts overall

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

  1. Brian D. Storey
  2. Radford M. Neal
  3. Paul Wilhelm Karl Rothemund
  4. W. L. Jorgensen
  5. Matthew A. Turk
  6. Andrew J. Szeri
  7. Thomas Unterthiner
  8. Dávid Bajusz
  9. Sigurdur T. Thoroddsen
  10. Erik Winfree

Who trusts Michael P. Brenner overall

  1. Detlef Lohse
  2. Gregory C. Rutledge
  3. Keith M. Forward
  4. James J. Feng
  5. Alpha Albert Lee
  6. A. Yarin
  7. A. Greiner
  8. Quynh P. Pham
  9. Nandana Bhardwaj
  10. R. Vasita

Papers from Michael P. Brenner's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Learning
  3. Pattern Recognition and Machine Learning
  4. TensorFlow: A system for large-scale machine learning
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  7. Long Short-Term Memory
  8. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  9. Gradient-based learning applied to document recognition
  10. and s

Their papers