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Report abuseHolographic Binding with Selective State Spaces for Sequential Recommendation
Python
Risk-aware calibration scheduling with Transformer quantile models on CMAPSS, generating cost- and violation-aware calibration plans.
Python
A PyTorch implementation of Spectral-Distilled Neural Forests, a framework for distilling large Gradient Boosted Decision Trees (GBDTs) into compact, interpretable, and efficient ensembles of shall…
Python
Transformer-based value-of-information ranking for ICU lab tests with dual-head mortality/intervention scoring, budget-aware utilities, and reproducible PhysioNet 2012 workflows.
Python
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