Jonathan Himmelfarb

Artificial Intelligence · 2004–2020

A researcher in the Science corpus: 12 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Himmelfarb trusts overall

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

  1. Lloyd S. Shapley
  2. Scott M. Lundberg
  3. Su-In Lee

Who trusts Jonathan Himmelfarb overall

  1. L. Chawla

Papers from Jonathan Himmelfarb's perspective

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

  1. Visualizing and Understanding Convolutional Networks
  2. Et al
  3. Striving for Simplicity: The All Convolutional Net
  4. Axiomatic Attribution for Deep Networks
  5. Random Forests
  6. Scikit-learn: Machine Learning in Python
  7. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
  8. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
  9. Greedy function approximation: A gradient boosting machine.
  10. A Unified Approach to Interpreting Model Predictions

Their papers