2025

  • Flexible Gravitational-Wave Parameter Estimation with Transformers
    Annalena Kofler, Maximilian Dax, Stephen R. Green, Jonas Wildberger, Nihar Gupte, Jakob H. Macke, Jonathan Gair, Alessandra Buonanno, Bernhard Schölkopf
    Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2025
    arXiv Tutorial Models Poster
  • Fast and accurate parameter estimation of high-redshift sources with the Einstein Telescope
    Filippo Santoliquido, Jacopo Tissino, Ulyana Dupletsa, Marica Branchesi, Jan Harms, Manuel Arca Sedda, Maximilian Dax, Annalena Kofler, Stephen R Green, Nihar Gupte, Isobel M Romero-Shaw, Emanuele Berti
    Physical Review D 112 (10), 103015, November 2025
    arXiv Paper
  • Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
    Annalena Kofler, Vincent Stimper, Mikhail Mikhailenko, Michael Kagan, Lukas Heinrich
    Machine Learning: Science and Technology, Focus on ML and the Physical Sciences, May 2025
    Paper Code Data Poster Talk
  • Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
    Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Annalena Kofler, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
    Astronomy & Astrophysics, 693 (A42), January 2025.
    arXiv Paper Code Data DOI Poster

2024