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
- Artificial Intelligence — 7 citations into it
Whom Erind Brahimi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Axiomatic Attribution for Deep Networks
- Projection Pursuit Regression
- Transparent Model Distillation
- Towards better understanding of gradient-based attribution methods for Deep Neural Networks
- Diagnostics for Gaussian Process Emulators (Technometrics)
- Model compression
- Design and Modeling for Computer Experiments
- Feature Visualization
- ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Their papers
- Explainable Neural Networks based on Additive Index Models (2018) — 112 citations