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eess.SP2026
Dynamic Online Processor-Native Inference for State Estimation
Orestis Kaparounakis
Sensor-rich data-driven applications increasingly use Bayesian approaches to infer latent states of dynamic systems from noisy sensor measurements and physical models. Yet the comp…
eess.SP2025
Digital Methods to Quantify Sensor Output Uncertainty in Real Time
Orestis Kaparounakis, Phillip Stanley-Marbell
Modern data-driven applications that make real-time decisions increasingly depend on advanced sensors which use pre-stored calibration data. In such applications, accurate characte…