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cs.LG2026
Do Time-Series Foundation Models Pay Off for Industrial Monitoring? A Cost-Aware Empirical Study
Guan-Hua Wen, Kuan-Yu Chen
Industrial monitoring models must detect operationally relevant deviations while satisfying target-specific data, calibration, and resource constraints. Time-series foundation mode…
cs.LG2026
MAPLE: Efficient and Diverse Multi-Alpha Generation for Portfolio Construction
Yu-Chen Den, Kuan-Yu Chen, Kendro Vincent +1
Classical alpha mining achieves strong risk-adjusted returns by combining many low-correlated predictive signals, yet deep learning stock-ranking methods typically produce a single…
cs.LG2026
Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting
Yu-Chen Den, Kuan-Yu Chen, Kendro Vincent +1
Transformer-based models have been widely adopted for time-series forecasting due to their high representational capacity and architectural flexibility. However, many Transformer v…