3 papers
cs.CV2026
Neural Stochastic Processes for Satellite Precipitation Refinement
Shunya Nagashima, Takumi Bannai, Shuitsu Koyama +2
Accurate precipitation estimation is critical for flood forecasting, water resource management, and disaster preparedness. Satellite products provide global hourly coverage but con…
cs.LG2026
A Decomposition-based State Space Model for Multivariate Time-Series Forecasting
Shunya Nagashima, Shuntaro Suzuki, Shuitsu Koyama +1
Multivariate time series (MTS) forecasting is crucial for decision-making in domains such as weather, energy, and finance. It remains challenging because real-world sequences inter…
eess.SP2026
PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
Shuntaro Suzuki, Shuitsu Koyama, Shinnosuke Hirano +1
Photoplethysmography (PPG) plays a crucial role in continuous cardiovascular health monitoring as a non-invasive and cost-effective modality. However, PPG signals are susceptible t…