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Machine Learning &
Astrophysics

This one-day workshop is part of the CDS workshop series Machine Learning + X and is the first event in the field of astrophysics. The workshop is jointly organized by the Center for Data and Simulation Science (CDS) and the SFB 1601.

Date: 21 November 2025, 09:00 – 15:00 

Location: Building 125, Seminar Room 1.01

Organization: Center for Data and Simulation Science (CDS) and SFB 1601

Contact: Lea Saßmannshausen (CDS)

Contributed Talks

SpeakerTitle
Andreas Lintermann
Integration of AI in Physics Simulations
Aleksandar Bojchevsky
Trusting the Untrustworthy: Toward Reliable AI for Science
Stefan Kesselheim
Simulations, surrogates, statistics: Machine Learning in Astrophysics and beyond

Poster Contributions

Contributors (Pitch, Poster)CollaboratorsPitch Title
Devika Bhatnagar
V. Balakrishnan, V. Venkatraman Krishnan, P. Freire, M. KramerThe Pulsar Sorting Hat: AI to Accelerate Discoveries of Relativistic Binaries
André Bresges
 Functional Magnetic Resonance Imaging of Human Brain Functions during simulated car driving: Possible applications for a Shared Universe Engine
Tobias Solymosi
T. Danowski, B. Jones, S. Kesselheim, P. SchilkeProstellar structure recovery using deep learning
Jakob Dietl
J. Dietl, F. Pacaud, T. H. Reiprich, A. Rüttgers, Z. Lähner, A. VeronicaUncovering the Giants in the Sky - Semantic Segmentation of Galaxy Clusters in Astrophysical Surveys
Lucie Flek
C. D. Le, D. Kaczér, K. Schmieden, M. Schott Analyzing Gravitational Waves with Transformers
Aleyna Nuray Ortakoese
M. Weis, S. Walch-GassnerFollowing Tracer Particles to Identify Filaments in Star-Forming Cores with HDBSCAN
Daniel Seifried
R. Patel, S. WalchThe filamentary ISM: Structure Identification and characterization