On-device research index

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

Trend · papers per month

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← all fields·3 papers on “neural networks” in Statistical ML · 1 week

Zero-Flow Two-Sample Testscs.LG

A new test detects differences between two distributions without flow.

problem Detecting differences between two distributions without flow.

method Zero-flow discrepancy (ZFD) and zero-flow two-sample test (ZF2ST).

result ZF2ST can detect strong differences in structured distributions.

two-sample testing zero-flow discrepancy neural networks statistical calibration distributional difference

2026-07-23abs ↗pdf ↗

Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep Networkscs.LG

HOPE uses Hilbert space to deconstruct deep network representations.

problem Deconstructing learned representations in deep networks is challenging.

method Introduces Hilbert Operator for Progressive Encoding (HOPE) to deconstruct network weights.

result HOPE provides an unbiased approach to network compression and fine-tuning.

network compression deep learning representation learning Hilbert space neural networks

2026-07-23abs ↗pdf ↗

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimationcs.LG

Framework synthesizes programs for simulating complex models and estimating parameters.

problem Parameter estimation for complex models requires manual encoding of fixed model structures.

method Combines LLMs for program synthesis with neural simulation-based inference.

result Identifies plausible model families from open-ended prompts with high accuracy.

simulation-based inference parameter estimation model selection neural networks program synthesis

2026-07-20abs ↗pdf ↗