Flexible Gravitational Wave Parameter Estimation

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Famous Flexible Gravitational-Wave Parameter Estimation with Transformers   - [Annalena Kofler] Net Worth
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Friday Talks - 20260213 Speaker: Annalena Kofler Title: Recorded 02 December 2021. John Veitch of the University of Glasgow, Physics and Astronomy, presents " Computational ... ... "Nobody Likes a Glitch" at IPAM's Workshop III: Source inference and Recorded 17 November 2021. Stephen Green of the Max Planck Institute for In this talk, I provide a brief introduction to our work on Bayesian Recorded 17 November 2021. Scott Field of the University of Massachusetts Dartmouth presents "

Recorded 20 September 2021. Sylvia Biscoveanu of the Massachusetts Institute of Technology presents "Source characterization ... Recorded 15 November 2021. Tyson Littenberg of the NASA - Marshall Space Flight Center presents "Building ... to Population Inference" at IPAM's Workshop III: Source inference and ... presents "Introduction to Systematics" at IPAM's Workshop III: Source inference and By Katerina Chatzioannou (Caltech) Meeting of the National Research Group on

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John Veitch -  Computational Challenges in Gravitational Wave Parameter Estimation - IPAM at UCLA Net Worth
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Celebrity Ben Farr - Nobody Likes a Glitch - IPAM at UCLA Net Worth
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Fast Gravitational wave Parameter Estimation using CVAEs, NeurIPS 2020
Scott Field - Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations
Sylvia Biscoveanu - Source characterization of individual compact binary coalescences - IPAM at UCLA
Gravitational Wave.Parameter Estimation - Neil Cornish
Tyson Littenberg - Building flexible, but not too flexible, models of gravitational wave data
Salvatore Vitale - Introduction to Population Inference - IPAM at UCLA
Patricia Schmidt - Introduction to Systematics - IPAM at UCLA
Rossella Gamba - Waveform systematics in the gravitational-wave inference of tidal parameters
Flexible analysis of gravitational wave data: signal polarization and detector glitches

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Last Updated: June 8, 2026

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Stephen Green - Real-time gravitational-wave parameter estimation using machine learning Profile
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