Papers

2026

• Gradient Estimators for Parameter Inference in Discrete Stochastic Kinetic Models
  Ludwig Burger, Annalena Kofler, Lukas Heinrich, Ulrich Gerland
  Preprint
  arXiv
• ARENA: Active Region attENtion Aggregation for interpretable solar flare prediction
  Luis Bauer, Annalena Kofler, Andres Asensio Ramos, Aparna Venkataramanasastry, Valentín Martínez Pillet, Bernhard Schölkopf
  Accepted at Representations for the Physical Sciences Workshop, NeurIPS 2026
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• Eccentricity constraints disfavor single-single capture in nuclear star clusters as the origin of all LIGO-Virgo-KAGRA binary black holes
  Nihar Gupte, M. Coleman Miller, Rhiannon Udall, Sophie Bini, Alessandra Buonanno, Jonathan Gair, Aldo Gamboa, Lorenzo Pompili, Antoni Ramos-Buades, Maximilian Dax, Stephen R. Green, Annalena Kofler, Jakob Macke, Bernhard Schölkopf
  Published at The Astrophysical Journal, September 2026
  arXiv Paper
• Neural Posterior Estimation of Terrain Parameters from Radar Sounder Data
  Jordy Dal Corso, Annalena Kofler, Marco Cortellazzi, Lorenzo Bruzzone, Bernhard Schölkopf
  Presented at IGARSS 2026—IEEE International Geoscience and Remote Sensing Symposium, August 2026
  arXiv Poster
• 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
  Published at Phys. Rev. Lett., June 2026
  Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2025
  arXiv Paper Blog post Poster Tutorial Networks

2025

• 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

• Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics
  Annalena Kofler, Vincent Stimper, Mikhail Mikhailenko, Michael Kagan, Lukas Heinrich
  Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2024
  🏆 Selected for a spotlight contributed talk (best 2%)
  arXiv Code Data Poster Talk

Collaboration papers

Through my work on DINGO within the LIGO-Virgo-KAGRA collaboration, I have contributed to these collaboration papers:

• GWTC-5.0: Observations from the Second Part of the Fourth LIGO-Virgo-KAGRA Observing Run and Updates to the Gravitational-Wave Transient Catalog
  arXiv

• GWTC-5.0: Methods for Identifying and Characterizing Gravitational-wave Transients
  arXiv

• **GWTC-5.0: An Introduction to Version 5.0 of the Gravitational-Wave Transient Catalog **
  arXiv