Publications

Please refer to Google Scholar for the most up-to-date list of my publications.

2026

  1. Masked Language Flow Models
    I. Azangulov, K. Ashouritaklimi, L. Zhang, S. Vary, and P. Rebeschini
    arXiv preprint arXiv:2606.27617, 2026
  2. Variance-Tilted Diffusion Models for Diverse Sampling
    I. Azangulov, L. Zhang, and K. Ashouritaklimi
    ICML Workshop: Structured Probabilistic Inference and Generative Modeling, 2026
  3. Prediction-Powered Active Testing
    K. Ashouritaklimi, V. Kilian, D. Huang, T. Rainforth, and F. Caron
    Neural Information Processing Systems, 2026
  4. Conformal Calibration from Unlabelled Pools
    K. Ashouritaklimi
    AISTATS 2026 Workshop: Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI, 2026
  5. Robust Bayes-Assisted Conformal Prediction
    K. Ashouritaklimi, S. Cortinovis, and F. Caron
    International Conference on Machine Learning, 2026

2025

  1. Active Learning with Task-Driven Representations for Messy Pools
    K. Ashouritaklimi and T. Rainforth
    arXiv preprint arXiv:2510.25926, 2025
  2. SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
    L. Zhang, K. Ashouritaklimi, Y. W. Teh, and R. Cornish
    International Conference on Learning Representations, 2025