Seminars
Seminars are held monthly and are open to all interested members of the scientific community.
Unless otherwise stated, these seminars will take place on Zoom Fridays once a month at 1:30-2:30 PM ET. Some webinars will be hybrid events with an in-person component at the 麻豆村 campus.
To join, you must be subscribed to our . You can also add the seminars to your calendar by subscribing to the Google Calendar below. Past recordings and information are available in the online archive and on the .
Upcoming Seminars
February 20th, 2026
, ELLIS Institute
Title: Real-Time Gravitational-Wave Inference with Probabilistic Machine Learning
Abstract: Gravitational-wave (GW) astronomy promises groundbreaking discoveries in the coming decades, but its progress is bottlenecked by the computational challenges of large-scale and real-time data analysis. I will present DINGO, a machine learning approach for fast and accurate GW inference that addresses these challenges. DINGO trains generative neural networks to directly estimate probability distributions over GW source parameters. I will explain the core ideas behind DINGO and highlight several machine learning techniques that we developed to adapt modern simulation-based inference to the challenging field of GW data analysis.
Bio: Maximilian Dax is a Principal Investigator at the ELLIS Institute Tübingen and the Max Planck Institute for Intelligent Systems, where he leads the research group for Science and Probabilistic Intelligence. His research focuses on probabilistic machine learning and its application in science. Before joining ELLIS, he completed his PhD at the Max Planck Institute for Intelligent Systems and the University of Tübingen, and spent time at ETH Zurich and Google Research.
March 27, 2026
, University of Wisconsin
Title: TBD
Abstract: TBD
Bio: TBD
April 17, 2026 - HYBRID EVENT
, University of Missouri
Location: Zoom, Room TBD
Title: TBD
Abstract: TBD
Bio: TBD