Roberto Molinaro

Statistical and Nonlinear Physics · 2016–2022

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Molinaro trusts overall

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

  1. Maizar Raissi
  2. G. Em Karniadakis
  3. Ameya Dilip Jagtap
  4. Roger Fletcher
  5. Diederik P. Kingma
  6. Zhiping Mao
  7. Jimmy Ba
  8. Paris Perdikaris
  9. Alireza Yazdani

Who trusts Roberto Molinaro overall

  1. Salvatore Cuomo

Papers from Roberto Molinaro's perspective

Ordered by how strongly the researchers Roberto Molinaro 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. Et al
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Deep Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Multilayer feedforward networks are universal approximators

Their papers