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05/04/2022
DeepBayes – an estimator for parameter estimation in stochastic nonlinear dynamical models
Stochastic nonlinear dynamical systems are ubiquitous in modern, real-wo...
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11/26/2019
Learning sparse linear dynamic networks in a hyper-parameter free setting
We address the issue of estimating the topology and dynamics of sparse l...
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06/04/2019
Robust exploration in linear quadratic reinforcement learning
This paper concerns the problem of learning control policies for an unkn...
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10/03/2016
A new kernel-based approach to system identification with quantized output data
In this paper we introduce a novel method for linear system identificati...
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04/30/2015
On the estimation of initial conditions in kernel-based system identification
Recent developments in system identification have brought attention to r...
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04/30/2015
A new kernel-based approach for overparameterized Hammerstein system identification
In this paper we propose a new identification scheme for Hammerstein sys...
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04/26/2015
Bayesian kernel-based system identification with quantized output data
In this paper we introduce a novel method for linear system identificati...
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12/12/2014
Blind system identification using kernel-based methods
We propose a new method for blind system identification. Resorting to a ...
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11/21/2014
Robust EM kernel-based methods for linear system identification
Recent developments in system identification have brought attention to r...
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12/21/2013
Outlier robust system identification: a Bayesian kernel-based approach
In this paper, we propose an outlier-robust regularized kernel-based met...
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09/21/2012