François Lanusse

Artificial Intelligence · with Boehm · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom François Lanusse trusts overall

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

1. W. James Murdoch
2. Chandan Singh

Papers from François Lanusse's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Latent Dirichlet Allocation
3. Axiomatic Attribution for Deep Networks
4. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
5. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
9. A Unified Approach to Interpreting Model Predictions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transformation Importance with Applications to Cosmology (2020) — 11 citations