Jared D. Willard

Statistical and Nonlinear Physics · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jared D. Willard trusts overall

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

  1. Steven L. Brunton
  2. Maizar Raissi
  3. J. Behler
  4. Igor Mezi'c
  5. Liu Yang
  6. J. Nathan Kutz
  7. Anuj Karpatne
  8. G. Em Karniadakis
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Jared D. Willard overall

  1. Manuel Arias Chao

Papers from Jared D. Willard's perspective

Ordered by how strongly the researchers Jared D. Willard 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers