Yohai Bar-Sinai

Statistical and Nonlinear Physics · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yohai Bar-Sinai trusts overall

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

  1. Bethany Lusch
  2. Byungsoo Kim
  3. Steven L. Brunton
  4. J. Nathan Kutz
  5. Iroon Polytechniou
  6. Martín Abadi

Who trusts Yohai Bar-Sinai overall

  1. Philipp Holl
  2. Ricardo Vinuesa
  3. Johannes Brandstetter
  4. Steven L. Brunton
  5. Kathleen P. Champion
  6. Alasdair Tran
  7. Kiwon Um
  8. Weiqi Ji
  9. Daniel E. Worrall
  10. Karthik Kashinath

Papers from Yohai Bar-Sinai's perspective

Ordered by how strongly the researchers Yohai Bar-Sinai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. TensorFlow: A system for large-scale machine learning
  2. Deep Learning
  3. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
  4. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  7. Axiomatic Attribution for Deep Networks
  8. Discovering governing equations from data by sparse identification of nonlinear dynamical systems
  9. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  10. Γ and B

Their papers