Felipe Llinares-L'opez

Mathematical Optimization · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

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Whom Felipe Llinares-L'opez trusts

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

  1. Justin Domke (in Mathematical Optimization)

Papers from Felipe Llinares-L'opez's perspective

Ordered by how strongly the researchers Felipe Llinares-L'opez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Et al
  2. TensorFlow: A system for large-scale machine learning
  3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  4. Generic Methods for Optimization-Based Modeling
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-Based Optimization of Hyperparameters
  8. Hyperparameter optimization with approximate gradient
  9. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
  10. Gradient-based learning applied to document recognition

Their papers