I am an applied researcher. My research area is "explanation", i.e., I build theories and tools to explain machine learning model predictions and separately, changes in business metrics. I have also worked on, and published in the areas of question-answering systems, ad auctions, security protocol analysis, privacy, and computational biology.

See my resume and publication history for more details.

(This is my only presence on the internet.)

Deep Learning Explanations

Published Papers

  • Integrated Gradients (paper@ICML17, code): Feature attributions for deep networks
  • Conductance (paper@ICLR19): Feature attribution for neurons
  • paper@ACL18: Constructing attacks using feature attributions
  • Visualizing attributions (paper): principled visualization of feature attributions for Image networks


  • A critique about a critique of our work.