1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Forecasting Without Full Identification: Reliability and Computational Cost in Clot-Growth Simulation
Lennon J. Shikhman, Ying Qian, Lily DiPaulo +1
We forecast clot growth from sparse early measurements with incomplete biochemical information. Using 1,000 simulated trajectories, we compare inverse search, which weights candida…
cs.LG2025★ 1 cited
Physics-informed deep learning for infectious disease forecasting
Ying Qian, Kui Zhang, Éric Marty +7
Accurate forecasting of contagious diseases is critical for public health policymaking and pandemic preparedness. We propose a new infectious disease forecasting model based on phy…