Johan Dahlin

Citado por

	Total	Desde 2018
Citas	494	271
Índice h	13	10
Índice i10	19	10

2012201320142015201620172018201920202021202220234 8 35 56 60 52 63 61 39 51 41 16

Acceso público

Ver todo

17 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Thomas SchönProfessor, Uppsala UniversityDirección de correo verificada de it.uu.se
Adrian WillsUniversity of Newcastle AustraliaDirección de correo verificada de newcastle.edu.au
Pontus SvensonRISE SICSDirección de correo verificada de ri.se
B NinnessUniversity of Newcastle AustraliaDirección de correo verificada de newcastle.edu.au
Andreas Lindholm (Svensson)Machine Learning Research Engineer, AnnotellDirección de correo verificada de annotell.com
Joel KronanderHead of Synthetic Data at Scale AIDirección de correo verificada de liu.se
Mattias VillaniProfessor of Statistics, Stockholm UniversityDirección de correo verificada de stat.su.se
Christian A. NaessethAssistant Professor at University of AmsterdamDirección de correo verificada de uva.nl
Liang DaiRadio Algorithm Developer, Ericsson ABDirección de correo verificada de ericsson.com
Cristian R. RojasProfessor, Division of Decision and Control Systems, KTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Manon KokAssistant Professor at the Delft Center for Systems and ControlDirección de correo verificada de tudelft.nl
Christian MårtensonFOIDirección de correo verificada de foi.se
Fredrik JohanssonSenior Scientist @ Swedish Defence Research Agency (FOI)Dirección de correo verificada de foi.se
Lisa KaatiDSV@Stockholm UniversityDirección de correo verificada de dsv.su.se
Daniel JönssonLinköping UniversityDirección de correo verificada de liu.se
Jonas UngerProfessor, division for Media and Information Technology, Linköping University, SwedenDirección de correo verificada de liu.se
robert kohnProfessor of Economics University of New South WalesDirección de correo verificada de unsw.edu.au

Seguir

Johan Dahlin

Kotte Consulting AB, Stockholm, Sweden

Dirección de correo verificada de johandahlin.com

Bayesian Learning Computational Statistics Machine Learning Monte Carlo Methods System Identification


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Sequential Monte Carlo Methods for System Identification TB Schön, F Lindsten, J Dahlin, J Wågberg, CA Naesseth, A Svensson, ... IFAC-PapersOnLine 48 (28), 775-786, 2015	93	2015
Particle Metropolis–Hastings using gradient and Hessian information J Dahlin, F Lindsten, TB Schön Statistics and computing 25, 81-92, 2015	48	2015
Ensemble approaches for improving community detection methods J Dahlin, P Svenson arXiv preprint arXiv:1309.0242, 2013	34	2013
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables J Dahlin, F Lindsten, J Kronander, TB Schön arXiv preprint arXiv:1511.05483, 2015	31	2015
Combining entity matching techniques for detecting extremist behavior on discussion boards J Dahlin, F Johansson, L Kaati, C Mårtenson, P Svenson 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012	25	2012
Particle filter-based Gaussian process optimisation for parameter inference J Dahlin, F Lindsten IFAC Proceedings Volumes 47 (3), 8675-8680, 2014	21	2014
A method for community detection in uncertain networks J Dahlin, P Svenson 2011 European Intelligence and Security Informatics Conference, 155-162, 2011	20	2011
Detecting and positioning overtaking vehicles using 1D optical flow D Hultqvist, J Roll, F Svensson, J Dahlin, TB Schön 2014 IEEE Intelligent Vehicles Symposium Proceedings, 861-866, 2014	19	2014
Marginalizing Gaussian process hyperparameters using sequential Monte Carlo A Svensson, J Dahlin, TB Schön 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015	16	2015
Sparse Bayesian ARX models with flexible noise distributions J Dahlin, A Wills, B Ninness IFAC-PapersOnLine 51 (15), 25-30, 2018	14	2018
Second-order particle MCMC for Bayesian parameter inference J Dahlin, F Lindsten, TB Schön IFAC Proceedings Volumes 47 (3), 8656-8661, 2014	14	2014
Particle Metropolis Hastings using Langevin dynamics J Dahlin, F Lindsten, T Schon Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013	14	2013
Getting started with particle Metropolis-Hastings for inference in nonlinear dynamical models J Dahlin, TB Schön Journal of Statistical Software 88, 1-41, 2019	13	2019
Getting started with particle Metropolis-Hastings for inference in nonlinear dynamical models J Dahlin, TB Schön arXiv preprint arXiv:1511.01707, 2015	13	2015
Newton-based maximum likelihood estimation in nonlinear state space models M Kok, J Dahlin, TB Schön, A Wills IFAC-PapersOnLine 48 (28), 398-403, 2015	13	2015
Hierarchical Bayesian ARX models for robust inference J Dahlin, F Lindsten, TB Schön, A Wills System Identification 16 (1), 131-136, 2012	12	2012
Quasi-Newton particle Metropolis-Hastings J Dahlin, F Lindsten, TB Schön IFAC-PapersOnLine 48 (28), 981-986, 2015	11	2015
Real-time video based lighting using GPU raytracing J Kronander, J Dahlin, D Jönsson, M Kok, TB Schön, J Unger 2014 22nd European Signal Processing Conference (EUSIPCO), 1627-1631, 2014	11	2014
Accurate Gaussian mixture model smoothing using a two-filter approach MP Balenzuela, J Dahlin, N Bartlett, AG Wills, C Renton, B Ninness 2018 IEEE Conference on Decision and Control (CDC), 694-699, 2018	10	2018
On robust input design for nonlinear dynamical models PE Valenzuela, J Dahlin, CR Rojas, TB Schön Automatica 77, 268-278, 2017	9	2017

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores