Marcus Klasson

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	All	Since 2020
Citations	112	105
h-index	4	4
i10-index	3	3

201820192020202120222023202420251 5 9 11 24 23 35 3

Co-authors

Cheng ZhangGenAI, MetaVerified email at meta.com
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, SwedenVerified email at kth.se
Arno SolinAssistant Professor in Machine Learning, Aalto UniversityVerified email at aalto.fi
Martin TrappMachine learning researcher, Aalto UniversityVerified email at aalto.fi
Juho KannalaAssociate Professor, Aalto University & University of Oulu, FinlandVerified email at aalto.fi
Johan SwärdPhD, Mathematical Statistics, Lund UniversityVerified email at maths.lth.se
Stefan AdalbjörnssonEricsson ResearchVerified email at ericsson.com
Bo Christer BertilsonCoordinator academic developmentVerified email at ki.se
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Riccardo MereuAalto UniversityVerified email at aalto.fi
Anton BaumannTechnische Universität MünchenVerified email at tum.de
Shuzhe WangAalto University, Ph.D.Verified email at aalto.fi
Matias TurkulainenAalto University, ETH ZurichVerified email at aalto.fi
Antti HonkelaProfessor, University of HelsinkiVerified email at helsinki.fi
Marlon TobabenPhD student, University of HelsinkiVerified email at helsinki.fi
Rui LiAalto UniversityVerified email at aalto.fi

Marcus Klasson

Postdoctoral Researcher, Aalto University

Verified email at aalto.fi - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A hierarchical grocery store image dataset with visual and semantic labels M Klasson, C Zhang, H Kjellström 2019 IEEE winter conference on applications of computer vision (WACV), 491-500, 2019	78	2019
Using variational multi-view learning for classification of grocery items M Klasson, C Zhang, H Kjellström Patterns 1 (8), 2020	13	2020
Learn the time to learn: Replay scheduling in continual learning M Klasson, H Kjellström, C Zhang arXiv preprint arXiv:2209.08660, 2022	10	2022
Conjugate-prior-regularized multinomial pLSA for collaborative filtering M Klasson, SI Adalbjörnsson, J Swärd, SV Andersen 2017 25th European Signal Processing Conference (EUSIPCO), 2501-2505, 2017	5	2017
Streamlining Prediction in Bayesian Deep Learning R Li, M Klasson, A Solin, M Trapp arXiv preprint arXiv:2411.18425, 2024	2	2024
Sources of Uncertainty in 3D Scene Reconstruction M Klasson, R Mereu, J Kannala, A Solin arXiv preprint arXiv:2409.06407, 2024	2	2024
Causality refined diagnostic prediction M Klasson, K Zhang, BC Bertilson, C Zhang, H Kjellström arXiv preprint arXiv:1711.10915, 2017	2	2017
Post-hoc Probabilistic Vision-Language Models A Baumann, R Li, M Klasson, S Mentu, S Karthik, Z Akata, A Solin, ... arXiv preprint arXiv:2412.06014, 2024		2024
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering Y Wang, M Klasson, M Turkulainen, S Wang, J Kannala, A Solin arXiv preprint arXiv:2411.19756, 2024		2024
Differentially Private Continual Learning using Pre-Trained Models M Tobaben, M Klasson, R Li, A Solin, A Honkela arXiv preprint arXiv:2411.04680, 2024		2024
Flatness Improves Backbone Generalisation in Few-shot Classification R Li, M Trapp, M Klasson, A Solin arXiv preprint arXiv:2404.07696, 2024		2024
Fine-Grained and Continual Visual Recognition for Assisting Visually Impaired People M Klasson KTH Royal Institute of Technology, 2022		2022
Probabilistic Active Few-Shot Learning in Vision-Language Models A Baumann, M Klasson, R Li, A Solin, M Trapp Workshop on Responsibly Building the Next Generation of Multimodal …, 0
Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning R Li, M Klasson, A Solin, M Trapp NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0

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