Laura Balzano

Computational Mechanics · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Balzano trusts overall

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

  1. Matthew Brand
  2. Bin Yang
  3. B. Recht
  4. Dimitri P. Bertsekas
  5. L. Eon Bottou
  6. Erkki Oja
  7. E.J. Candes
  8. Raghunandan H. Keshavan
  9. Alan Edelman
  10. Moritz Hardt

Who trusts Laura Balzano overall

  1. Bart Vandereycken
  2. Namrata Vaswani
  3. Thanh T. Ngo
  4. Manolis C. Tsakiris
  5. Thierry Bouwmans
  6. Liangzu Peng
  7. Ioannis Mitliagkas
  8. Jun He
  9. René Vidal
  10. Y. Saad

Papers from Laura Balzano's perspective

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

Their papers