R. S. Risuleo

Latest

• Bayesian nonparametric estimation of Wiener systems
• Identification of linear models from quantized data: a midpoint-projection approach
• Modeling and identification of uncertain-input systems
• A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics
• A kernel-based approach to Hammerstein system identification
• Approximate Maximum-Likelihood Identification of Linear Systems from Quantized Measurements
• Blind system identification using kernel-based methods
• Blind system identification using kernel-based methods
• Outlier-robust estimation of uncertain-input systems with applications to nonparametric FIR and Hammerstein models
• Semi-parametric kernel-based identification of Wiener systems
• Outlier-robust estimation of uncertain-input systems with applications to nonparametric FIR and Hammerstein models
• Bayesian learnig of structured dynamical systems
• A nonparametric kernel-based approach to Hammerstein system identification
• Approximate inference of nonparametric Hammerstein models
• On maximum likelihood identification of errors-in-variables models
• Variational Bayes identification of acyclic dynamic networks
• Kernel-Based System Identification from Noisy and Incomplete Input-Output Data
• A new kernel-based approach for overparameterized Hammerstein system identification
• On the estimation of initial conditions in kernel-based system identification