Matthew J. Zahr

Statistical and Nonlinear Physics · 2012–2021

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Zahr trusts overall

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

  1. Charbel Farhat
  2. Kevin T. Carlberg
  3. Saifon Chaturantabut
  4. Philippe Geuzaine
  5. Ruiyang Zhang
  6. Julien Yvonnet
  7. David Amsallem
  8. G. Em Karniadakis
  9. Matthew Brand
  10. Danny C. Sorensen

Who trusts Matthew J. Zahr overall

  1. Kun Wang
  2. Steven L. Brunton
  3. WaiChing Sun
  4. Mengwu Guo
  5. Stefania Fresca
  6. Krithika Manohar
  7. Pao-Hsiung Chiu
  8. Charbel Farhat

Papers from Matthew J. Zahr's perspective

Ordered by how strongly the researchers Matthew J. Zahr 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 Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Understanding the difficulty of training deep feedforward neural networks
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers