23 citations · 46 across the 32 of their papers we have counts for
6 papers · 1 filter
Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens
Alireza Namazi, Amirreza Dolatpour Fathkouhi, Heman Shakeri
Autoregressive forecasting is central to predictive control in diabetes and hemodynamic management, where different operating zones carry different clinical risks. Standard models…
A Fast Algorithm for Finding Minimum Weight Cycles in Mining Cyclic Graph Topologies
Heman Shakeri, Torben Amtoft, Behnaz Moradi-Jamei +2
Cyclic structures are fundamental topological features in graphs, playing critical roles in network robustness, information flow, community structure, and various dynamic processes…
The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting
Heman Shakeri
Deep sequence models for blood glucose forecasting consistently fail to leverage clinically informative drivers--insulin, meals, and activity--despite well-understood physiological…
Fusing Biomechanical and Spatio-Temporal Features for Fall Prediction: Characterizing and Mitigating the Simulation-to-Reality Gap
Md Fokhrul Islam, Sajeda Al-Hammouri, Christopher J. Arellano +2
Falls are a leading cause of injury and loss of independence among older adults. Vision-based fall prediction systems offer a non-invasive solution to anticipate falls seconds befo…
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradijamei, Heman Shakeri
Modeling the evolution of high-dimensional systems from limited snapshot observations at irregular time points poses a significant challenge in quantitative biology and related fie…
Online Meal Detection Based on CGM Data Dynamics
Ali Tavasoli, Heman Shakeri
We utilize dynamical modes as features derived from Continuous Glucose Monitoring (CGM) data to detect meal events. By leveraging the inherent properties of underlying dynamics, th…