Research
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

0111 · Sep 201919922001200920172026
3 results for inceptiontime

Generative models assess quality on time-series data using ITS and FITD.

problem Lack of consensus for quality assessment of class-conditional generative models on time-series data.
method Introduced InceptionTime Score (ITS) and Frechet InceptionTime Distance (FITD) to evaluate generative models.
result ITS and FITD combined with TSTR can accurately assess generative model performance on time-series data.

This paper brings deep learning at the forefront of research into Time Series Classification (TSC). TSC is the area of machine learning tasked with the categorization (or labelling) of time series. The last few decades of work in this area have led to significant progress in the accuracy of classifiers, with the state …

2019-09-11abs ↗pdf ↗

New TSER algorithms outperform existing methods in time series extrinsic regression.

problem Improving time series extrinsic regression models.
method Extended TSER archive, introduced two new algorithms (FreshPRINCE and DrCIF), compared with rotation forest.
result DrCIF and FreshPRINCE models significantly outperform existing methods.