A. Buganza Tepole

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Buganza Tepole trusts overall

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

  1. Maizar Raissi
  2. Paris Perdikaris
  3. G. Em Karniadakis
  4. F. Sahli Costabal
  5. Liu Yang
  6. Markus J. Buehler

Papers from A. Buganza Tepole's perspective

Ordered by how strongly the researchers A. Buganza Tepole 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. Intriguing properties of neural networks
  3. Neural Ordinary Differential Equations
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Automatic differentiation in machine learning: a survey
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
  9. Gradient-based learning applied to document recognition
  10. Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Their papers