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eess.SP2026
Wiener Space Cubature for Nonlinear Gaussian Filtering
Luke Snow, Daniel Waxman, Matthew E. Levine
Continuous-discrete filtering is a classical problem in signal processing and control theory, whereby the state driving a stochastic differential equation (SDE) must be inferred fr…
eess.SP2026
Sequential Inference for Gaussian Processes: A Signal Processing Perspective
Daniel Waxman, Fernando Llorente, Petar M. Djurić
The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. M…
stat.ME2026
Designing an Optimal Sensor Network via Minimizing Information Loss
Daniel Waxman, Fernando Llorente, Katia Lamer +1
Optimal experimental design is a classic topic in statistics, with many well-studied problems, applications, and solutions. The design problem we study is the placement of sensors…