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Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks

arXiv cs.AI · 2026-06-20 Cached

Introduces Evolving Programmatic Bottlenecks (EPB), a framework for interpreting neural combinatorial optimization policies by distilling black-box models into human-readable program portfolios using LLM-guided evolution.

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#concept-bottleneck-model

OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting

arXiv cs.LG · 2026-05-14 Cached

OceanCBM is a concept bottleneck model for spatiotemporal prediction and mechanistic interpretability in ocean forecasting, using mixed supervision to predict mixed layer heat content while imposing soft physical structure. The model achieves interpretable, physically grounded representations without sacrificing predictive skill.

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