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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Mar 202519922001200920172026
1 result for “input-skip”
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networksstat.ML

Simplified Bayesian neural networks reduce model complexity and improve interpretability.

problem Over-parameterization and interpretability issues in deep learning models.
method Input-skip Latent Binary Bayesian Neural Networks (LBBNNs) that allow covariates to skip layers or be excluded.
result Significant reduction in model complexity (over 99%) with minimal loss in accuracy and uncertainty.
Bayesian neural networksinterpretabilitymodel compressioninput-skipcovariate skipping
2025-03-13abs ↗pdf ↗