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Results for “warmup” · papers 2 · wiki 1
Academic Papers · 2arXiv q-fin live 2 · desk corpus 0
arXiv · arXiv q-fin · 2026

Robust Transformer-Based One-Step Stock Index Forecasting via Shifted Data Augmentation

Transformers have shown remarkable success in sequence modeling, yet their direct application to financial time series remains challenging due to noisy signals, short-memory dynamics, and distributional shifts. This paper proposes a modified Transformer architecture for one-step stock index forecasting, combined with advanced learning-rate scheduling and a novel Shifted Data Augmentation (SDA) technique. We evaluate …

Tien Thanh Thach
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arXiv · arXiv q-fin · 2026

Statistical Model Checking of the Keynes+Schumpeter Model: A Transient Sensitivity Analysis of a Macroeconomic ABM

Agent-based models (ABMs) are increasingly used in macroeconomics, but their analysis still often relies on ad hoc Monte Carlo campaigns with heterogeneous statistical effort across parameter settings. We show how statistical model checking (SMC), implemented through MultiVeStA, can provide a principled analysis layer for a realistic macroeconomic ABM without rewriting the simulator in a dedicated formalism. Our case…

Stefano Blando, Giorgio Fagiolo, Mauro Napoletano, Tania Treibich, Andrea Vandin
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Wiki Entities · 1
AI Systems

Learning Rate Schedule

A learning-rate schedule is the planned path of η_t — warmup, cosine, step decay — that often matters more than the architecture headline on a given run.

Option Blackboard · 0
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Encyclopedia · 1
AI Systems · Foundations

Learning Rate Schedule

A learning-rate schedule is the planned path of η_t — warmup, cosine, step decay — that often matters more than the architecture headline on a given run.

Cards · 0
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