Search Results for author: Andrej Erkelens

Found 2 papers, 1 papers with code

Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure of Data

no code implementations19 Mar 2024 Divyansh Singhvi, Andrej Erkelens, Raghav Jain, Diganta Misra, Naomi Saphra

Measuring nonlinear feature interaction is an established approach to understanding complex patterns of attribution in many models.

Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models

1 code implementation6 Oct 2022 Md Khairul Islam, Di Zhu, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Judy Fox

Using the proposed framework, we conduct extensive experiments and show our model can learn complex interactions and perform predictions for daily infection at the county level.

Feature Importance Interpretable Machine Learning +2

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