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

count % of corpus

3 results for “N-HiTS”

Advancing Financial Forecasting: A Comparative Analysis of Neural Forecasting Models N-HiTS and N-BEATSq-fin.CP

This study compares two neural models for financial forecasting, showing their superiority.

problem Improving financial market trend predictions using neural networks.

method Systematic comparison of N-HiTS and N-BEATS with conventional models.

result N-HiTS and N-BEATS enhance forecast accuracy and robustness in financial time series data.

financial forecasting neural networks N-HiTS N-BEATS non-linear dynamics

2024-08-31abs ↗pdf ↗

KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screeningphysics.chem-ph

KANEL combines models for early hit enrichment in virtual screening.

problem Assessing model accuracy in chemical bioactivity predictions.

method Ensemble workflow using Kolmogorov-Arnold Networks (KANs) and other models.

result Improves early hit enrichment metrics like PPV@N.

machine learning virtual screening chemical bioactivity ensemble learning Kolmogorov-Arnold Networks

2026-03-25abs ↗pdf ↗

A Controlled Comparison of Deep Learning Architectures for Multi-Horizon Financial Forecasting: Evidence from 918 Experimentsq-fin.ST

Study compares nine deep learning architectures for multi-horizon financial forecasting.

problem Evaluating the performance of deep learning architectures for multi-horizon financial forecasting.

method Conducted 918 experiments across cryptocurrency, forex, and equity markets using nine architectures.

result ModernTCN achieves the best mean rank (1.333) with a 75 percent first-place rate.

deep learning financial forecasting multi-horizon cryptocurrency forex

2026-02-27abs ↗pdf ↗