Publications

2024

  1. Revisiting Score Function Estimators for k-Subset Sampling
    Klas Wijk, Ricardo Vinuesa, and Hossein Azizpour
    ICML 2024 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, 2024
  2. Indirectly Parameterized Concrete Autoencoders
    Alfred Nilsson, Klas Wijk, Sai Gutha, and 7 more authors
    International Conference on Machine Learning, 2024

2023

  1. Towards Alignment-Free Phylogenetic Inference: Variational Inference in the Thorne-Kishino-Felsenstein Model of Sequence Evolution
    Klas Wijk
    Master’s Thesis, 2023

2021

  1. Bayesian Parameter Tuning of the Ant Colony Optimization Algorithm: Applied to the Asymmetric Traveling Salesman Problem
    Emmy Yin, and Klas Wijk
    Bachelor’s Thesis, 2021