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Tsuyoshi Ide

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New anomaly attribution approach with automated uncertainty quantification

Posted on 2023-05-162023-05-19 by Ide-san

Happy to share that one of my latest papers on explainable AI (XAI), entitled “Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution,” has been accepted to KDD 2023 (The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining), one of the top machine learning (ML) conferences.

For more details, see my LinkedIn post.

Tsuyoshi Ide, Ph.D.

Tsuyoshi Ide
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Recent Posts

  • Beta version of Generative Perturbation Analysis (GPA) is now available on GitHub
  • New anomaly attribution approach with automated uncertainty quantification
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About my name

I go by “Ide-san” (pronounced as ee-de-san) at work. Ide (井手) is my family name in Japanese and “san” is something like “Mr./Ms.” (but sounds much friendlier). Tsuyoshi (剛) is my given name meaning “strong like steel.” In Japanese, my name is spelled as 井手 剛. I sometimes use “Thomas” in my home neighborhood.

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