2 papers
cs.AI2026
ReLaMix: Residual Latency-Aware Mixing for Delay-Robust Financial Time-Series Forecasting
Tianyou Lai, Wentao Yue, Jiayi Zhou +5
Financial time-series forecasting in real-world high-frequency markets is often hindered by delayed or partially stale observations caused by asynchronous data acquisition and tran…
physics.geo-ph2025
Recovering Sub-threshold S-wave Arrivals in Deep Learning Phase Pickers via Shape-Aware Loss
Chun-Ming Huang, Li-Heng Chang, I-Hsin Chang +2
Deep learning has transformed seismic phase picking, but a systematic failure mode persists: for some S-wave arrivals that appear unambiguous to human analysts, the model produces…