Erind Brahimi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erind Brahimi trusts overall

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

  1. Simon N. Wood
  2. Deborah Silver
  3. Ilya M. Sobol
  4. Leonardo S. Bastos

Papers from Erind Brahimi's perspective

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

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Axiomatic Attribution for Deep Networks
  3. Projection Pursuit Regression
  4. Transparent Model Distillation
  5. Towards better understanding of gradient-based attribution methods for Deep Neural Networks
  6. Diagnostics for Gaussian Process Emulators (Technometrics)
  7. Model compression
  8. Design and Modeling for Computer Experiments
  9. Feature Visualization
  10. ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Their papers