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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.

168,695 papers · 148 categories

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2 results for “NeurISE”

Learning of Discrete Graphical Models with Neural Networkscs.LG

NeurISE uses neural nets to learn graphical models efficiently.

problem Efficiently learning graphical models with high-order terms.

method NeurISE, a neural net-based algorithm that approximates interaction screening objective function.

result NeurISE can find parsimonious representations without prior information.

Graphical Models Neural Nets Conditional Dependence High-Order Terms Optimization

2020-06-21abs ↗pdf ↗

Discrete Diffusion with Sample-Efficient Estimators for Conditionalscs.LG

A new diffusion model uses efficient conditional estimators for discrete data.

problem Efficient estimation of conditional probabilities for discrete data.

method Discrete denoising diffusion framework with sample-efficient NeurISE conditional estimation.

result The method outperforms existing approaches in various metrics on binary and scientific data.

diffusion models conditional estimation sample efficiency discrete data NeurISE

2026-02-23abs ↗pdf ↗