Philippe Refalo

International Conference on Principles and Practice of Constraint Programming · 2004

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Philippe Refalo trusts overall

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

  1. Matthew W. Moskewicz
  2. Jeff T. Linderoth
  3. Lintao Zhang

Who trusts Philippe Refalo overall

  1. Yuri Malitsky

Papers from Philippe Refalo's perspective

Ordered by how strongly the researchers Philippe Refalo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Chaff: engineering an efficient SAT solver (Proceedings - Design Automation Conference)
  2. A Computational Study of Search Strategies for Mixed Integer Programming
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet classification with deep convolutional neural networks
  5. Speeding up Convolutional Neural Networks with Low Rank Expansions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning both Weights and Connections for Efficient Neural Network
  8. GRASP: A Search Algorithm for Propositional Satisfiability
  9. Large Scale Distributed Deep Networks
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers