Michael Chromik

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Health Informatics — 6 citations into it

Whom Michael Chromik trusts overall

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

1. Cynthia Rudin
2. Lloyd S. Shapley
3. Shubham Rathi
4. Robert R. Hoffman
5. Shane T. Mueller
6. Leon Rozenblit
7. Alicja Gosiewska
8. Marco Tulio Ribeiro
9. Danding Wang
10. Zana Buçinca

Papers from Michael Chromik's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. The mythos of model interpretability
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI (2021) — 165 citations