IFM conditions flow-matching velocity fields on patient history and planned treatments, using velocity-field Jacobian regularization to enforce signed, dose-bounded insulin-lowering and carbohydrate-raising effects on glucose in simulated UVA/Padova type 1 diabetes data.
The driver-blindness phenomenon: Why deep sequence models default to autocorrelation in blood glucose forecasting.arXiv preprint arXiv:2511.20601, 2025
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Interventional Flow Matching: Prospective Dose-Response Forecasting with Velocity-Field Jacobian Regularization
IFM conditions flow-matching velocity fields on patient history and planned treatments, using velocity-field Jacobian regularization to enforce signed, dose-bounded insulin-lowering and carbohydrate-raising effects on glucose in simulated UVA/Padova type 1 diabetes data.