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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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2 results for “ConvMMD”

Convolutional Maximum Mean Discrepancy for Inference in Noisy Datastat.ME

ConvMMD improves inference in noisy data.

problem Inference degradation due to measurement error in noisy data.

method Convolutional Maximum Mean Discrepancy (convMMD) for inference with noisy, heteroscedastic observations.

result Established consistency and asymptotic normality of the convMMD-based estimator.

ConvMMD Maximum Mean Discrepancy Inference Measurement Error Noisy Data

2026-04-13abs ↗pdf ↗

Nonparametric Deconvolution and Denoising using Simulation Based Inferencestat.ME

Nonparametric density deconvolution and denoising using simulation-based inference

problem Learning latent signals and their distributions in the presence of measurement noise

method Convolutional maximum mean discrepancy (convMMD) loss and likelihood-free framework

result Learn a latent generative model matching observed data distribution

deconvolution density simulation inference likelihood-free

2026-06-20abs ↗pdf ↗