Andreas Svensson

According to our database, Andreas Svensson authored at least 12 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

New AIR for the Archaeological Process? The Use of 3D Web Semantic for Publishing Archaeological Reports.

Paola Derudas, Federico Nurra, Andreas Svensson

ACM Journal on Computing and Cultural Heritage, September, 2023

2018

Learning dynamical systems with particle stochastic approximation EM.

Andreas Svensson, Fredrik Lindsten

CoRR, 2018

Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots.

Elin Anna Topp, Maj Stenmark, Alexander Ganslandt, Andreas Svensson, Mathias Haage, Jacek Malec

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

How consistent is my model with the data? Information-Theoretic Model Check.

Andreas Svensson, Dave Zachariah, Thomas B. Schön

CoRR, 2017

Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations.

Andreas Svensson, Fredrik Lindsten, Thomas B. Schön

CoRR, 2017

Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo.

Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten

CoRR, 2017

A flexible state-space model for learning nonlinear dynamical systems.

Andreas Svensson, Thomas B. Schön

Autom., 2017

2016

Computationally Efficient Bayesian Learning of Gaussian Process State Space Models.

Andreas Svensson, Arno Solin, Simo Särkkä, Thomas B. Schön

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Nonlinear state space smoothing using the conditional particle filter.

Andreas Svensson, Thomas B. Schön, Manon Kok

CoRR, 2015

Nonlinear state space model identification using a regularized basis function expansion.

Andreas Svensson, Thomas B. Schön, Arno Solin, Simo Särkkä

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Marginalizing Gaussian process hyperparameters using sequential Monte Carlo.

Andreas Svensson, Johan Dahlin, Thomas B. Schön

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Identification of jump Markov linear models using particle filters.

Andreas Svensson, Thomas B. Schön, Fredrik Lindsten

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014