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cs.LG2025
HGAN-SDEs: Learning Neural Stochastic Differential Equations with Hermite-Guided Adversarial Training
Yuanjian Xu, Yuan Shuai, Jianing Hao +1
Neural Stochastic Differential Equations (Neural SDEs) provide a principled framework for modeling continuous-time stochastic processes and have been widely adopted in fields rangi…
cs.LG2025
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting
Anxian Liu, Junying Ma, Guang Zhang
Financial time series forecasting in zero-shot settings is critical for investment decisions, especially during abrupt market regime shifts or in emerging markets with limited hist…