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cs.LG2026
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Jerry Y. Huang, Justin Lin, Sheel Shah +2
In generative modeling, we often wish to produce samples that maximize a user-specified reward such as aesthetic quality or alignment with human preferences, a problem known as \te…
cs.LG2026
A comparative analysis of machine learning models in SHAP analysis
Justin Lin, Julia Fukuyama
In this growing age of data and technology, large black-box models are becoming the norm due to their ability to handle vast amounts of data and learn incredibly complex data patte…
cs.LG2025
SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
Justin Lin, Julia Fukuyama
In this growing age of data and technology, large black-box models are becoming the norm due to their ability to handle vast amounts of data and learn incredibly complex input-outp…