publications

* denotes equal contribution.

2024

  1. Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
    Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, and 4 more authors
    In The Twelfth International Conference on Learning Representations, 2024
    PDF

2023

  1. AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
    Yang Zhang*, Yawei Li*, Hannah Brown, and 5 more authors
    ArXiv, 2023
    PDF
  2. A Dual-Perspective Approach to Evaluating Feature Attribution Methods
    Yawei Li*, Yang Zhang*, Kenji Kawaguchi, and 3 more authors
    ArXiv, 2023
    PDF

2022

  1. Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models
    Yawei Li, Ashkan Khakzar, Yang Zhang, and 5 more authors
    ICML Workshop on Interpretable Machine Learning in Healthcare, 2022
  2. Deep learning-based classification of dermatological lesions given a limited amount of labelled data
    S Krammer, Y Li, N Jakob, and 6 more authors
    Journal of the European Academy of Dermatology and Venereology, 2022
    PDF

2021

  1. Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
    Yang* Zhang, Ashkan* Khakzar, Yawei Li, and 3 more authors
    Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF
  2. Explaining covid-19 and thoracic pathology model predictions by identifying informative input features
    Ashkan* Khakzar, Yang* Zhang, Wejdene Mansour, and 5 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
    PDF

2019

  1. Logistic Regression with Robust Bootstrapping
    Yawei Li, Michael Fauß, and Abdelhak M Zoubir
    In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019