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Religion & Spirituality

Disentanglement and Interpretability in Recommender Systems

Data Skeptic by Kyle Polich

Mar 10, 202630:33Religion & Spirituality

Ervin Dervishaj, a PhD student at the University of Copenhagen, discusses his research on disentangled representation learning in recommender systems, finding that while disentanglement strongly correlates with interpret...

About This Episode

Disentanglement and Interpretability in Recommender Systems is an episode from Data Skeptic by Kyle Polich. Ervin Dervishaj, a PhD student at the University of Copenhagen, discusses his research on disentangled representation learning in re...

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Episode Details

Published Mar 10, 2026, 30:33 long, audio available.