Google Scholar profile.

  • PhD Thesis. Last update in November 2022.
    Fine-Grained and Continual Visual Recognition for Assisting Visually Impaired People.
    Defense on November 8 at 9.00 Swedish time. More info at kth.se.
    PDF Link, Slides

Conferences & Journals

  • M. Klasson, H. Kjellström, C. Zhang.
    Learn the Time to Learn: Replay Scheduling in Continual Learning.
    Transactions on Machine Learning Research (TMLR), 2023.
    Openreview, Video, Code, Arxiv

  • M. Klasson, C. Zhang, and H. Kjellström.
    Using Variational Multi-view Learning for Classification of Grocery Items.
    Patterns 1.8 (2020): 100143.
    Patterns Open Access, Code (Tensorflow v1)

  • M. Klasson, C. Zhang, and H. Kjellström.
    A hierarchical grocery store image dataset with visual and semantic labels.
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
    Arxiv, Youtube, Poster, Dataset

  • M. Klasson, S.I. Adalbjörnsson, J. Swärd, S.V. Andersen.
    Conjugate-prior-regularized multinomial pLSA for collaborative filtering.
    25th European Signal Processing Conference (EUSIPCO), 2017.
    Poster

Workshop Papers

  • M. Klasson, R. Mereu, J. Kannala, A. Solin.
    Sources of Uncertainty in 3D Scene Reconstruction.
    ECCV Workshop Proceedings, 2024.
    Arxiv, Code, Website

  • M. Klasson, H. Kjellström, C. Zhang.
    Learn the Time to Learn: Replay Scheduling for Continual Learning.
    ICML workshop on Theory and Foundation of Continual Learning, 2021.
    Workshop Page, Poster

  • M. Klasson, K. Zhang, B. Bertilson, C. Zhang and H. Kjellström.
    Causality Refined Diagnostic Prediction.
    NIPS Workshop on Machine Learning for Health (ML4H), 2017.
    Arxiv, Poster