Talks and posters

The page lists my oral and poster presentations given at conferences, workshops or from invitations.

 

2017

[P28] Machine learning for medical applications.
Guest lecturer in the course “Statistical Machine Learning”, Uppsala University, Sweden, March 7, 2017.

[P27] Particle Metropolis-Hastings for inference in non-linear state-space models.
Statistics seminar series at Örebro University School of Business, Örebro, Sweden, February 16, 2017.
[ Slides ]

2016

[P26] Tutorial: Particle Metropolis-Hastings for inference in non-linear state-space models.
ERNSI Workshop, Cison de Valmarino, Italy, September 28, 2016.
[ Slides ]

[P25] Tutorial: Particle Metropolis-Hastings for Bayesian non-linear system identification.
Reglermöte, Göteborg, Sweden, June 8, 2016.
[ Slides ]

[P24] Particle-based Gaussian process optimization for input design in nonlinear dynamical model.
Reglermöte, Göteborg, Sweden, June 8, 2016.
[ Poster ]

[P23] Parameter estimation in non-linear state space models using Newton optimisation.
Reglermöte, Göteborg,Sweden, June 8, 2016.
[ Slides ]

[P22] Getting started with particle Metropolis-Hastings for nonlinear system identification.
Seminar series at the division of Automatic Control, Linköping, Sweden, April 14, 2016.
[ Slides ]

2015

[P21] Gaussian process optimisation for approximate Bayesian inference.
Seminar series at the division of Automatic control, Linköping, Sweden, November 26, 2015.
[ Slides ]

[P22] Quasi-Newton particle Metropolis-Hastings.
The 17th IFAC Symposium on System Identification, Beijing, China, October 20, 2015.
[ Slides ]

[P21] Quasi-Newton particle Metropolis-Hastings.
ERNSI Workshop, Varberg, Sweden, September 22, 2015.
[ Poster ]

[P20] Quasi-Newton particle Metropolis-Hastings.
Workshop on Recent advances in Sequential Monte Carlo, Paris, France, August 26, 2015.
[ Poster ]

[P19] Gaussian process optimization for approximate Bayesian inference.
IDA Machine learning seminar series at Linköping University, Linköping, Sweden, April 1, 2015.
[ Slides ]

2014

[P18] Speeding up the particle Metropolis-Hastings algorithm for Bayesian parameter inference.
University of Newcastle, Newcastle, Australia, November 28, 2014.
[ Slides ] (Note: animations removed to decrease file size)

[P17] Particle filter-based Gaussian process optimisation for parameter inference.
IFAC World Congress 2014, Cape Town,South Africa, August, 28, 2014.
[ Slides ]

[P16] Second-order particle MCMC for Bayesian parameter inference.
IFAC World Congress 2014, Cape Town,South Africa, August, 28, 2014.
[ Slides ]

[P15] A graph/particle-based method for experiment design in nonlinear systems.
IFAC World Congress 2014, Cape Town, South Africa, August, 25, 2014.
[ Slides ]

[P14] Particle filter-based Gaussian process optimisation for parameter inference.
Reglermöte 2014, Linköping, Sweden, Jun 3, 2014.
[ Poster ]

[P13] Sequential Monte Carlo for inference in nonlinear state space models.
Licentiate’s seminar, Linköping, Sweden, May 28, 2014.
[ Slides ]

[P12] Particle-Metropolis Hastings with second-order proposals.
MCMski Workshop 2014, Chamonix, France, January 6, 2014.
[ Poster ]

2013

[P11] Second-order PMCMC for Parameter Inference.
ERNSI Workshop, Nancy, France, September 24, 2013.
[ Poster ]

[P10] An analysis of input design for state-space models.
ERNSI Workshop, Nancy, France, September 24, 2013.
[ Poster ]

[P9] Bayesian optimisation for Parameter Inference in nonlinear SSMs.
ERNSI Workshop, Nancy, France, September 23, 2013.
[ Poster ]

[P8]
Particle Metropolis Hastings using Langevin Dynamics.
The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 30, 2013.
[ Poster ]

2012

[P7] Towards Particle Markov Chain Monte Carlo – or my first year as a PhD student.
Invited seminar at Swedish Defence Research Agency, Stockholm, Sweden, November 23, 2012.

[P6] Sequential Sampling for Dynamic Environment Map Illumination.
CADICS Workshop, Norrköping, Sweden, October 25, 2012.

[P5] Parameter inference in AR processes with missing data.
ERNSI Workshop, Maastricht, Netherlands, September 25, 2012.
[ Poster ]

[P4] Sequential Monte Carlo for dynamic Image-based lighting.
Workshop on Recent advances in Sequential Monte Carlo, Warwick, UK, September 21, 2012.
[ Poster ]

[P3] Hierarchical Bayesian approaches for robust inference in ARX models.
The 16th IFAC Symposium on System Identification, Brussels, Belgium, July 11, 2012.
[ Slides ]

2011

[P2] Community Detection in Uncertain Networks by Ensemble approaches.
TAMSEC Workshop, Linköping, Sweden, October 19, 2011.
[ Poster ]

[P1] Detecting community structures in uncertain social networks.
Nordita Workshop – Applications of Network Theory: From Mechanisms to Large-Scale Structure, Stockholm, Sweden, March 31, 2011.
[ Slides ]