Machine Learning and Modern Computational Techniques for Gravitational Waves

Presentations

• Learning higher order PN dynamics from Numerical Relativity using DHNNs

  Oral-In-person

  March 19, 2026, 1:15 PM – March 19, 2026, 1:27 PM

  Presenters

  • Siddharth Mahesh

    • West Virginia University

  Authors

  • Siddharth Mahesh

    • West Virginia University

  • Sean McWilliams

    • West Virginia University

  View abstract →

• Predicting intermediate-mass black hole formation in star clusters with machine learning

  Oral-In-person

  March 19, 2026, 1:27 PM – March 19, 2026, 1:39 PM

  Presenters

  • Konstantinos Kritos

    • Johns Hopkins University

  Authors

  • Konstantinos Kritos

    • Johns Hopkins University

  • Digvijay Wadekar

    • Johns Hopkins University

  • Emanuele Berti

    • Johns Hopkins University

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• Machine Learning Confirms GW231123 is a "Lite" Intermediate Mass Black Hole Merger

  Oral-In-person

  March 19, 2026, 1:39 PM – March 19, 2026, 1:51 PM

  Publication: https://arxiv.org/abs/2509.09161

  Presenters

  • Chayan Chatterjee

    • Vanderbilt University

  Authors

  • Chayan Chatterjee

    • Vanderbilt University

  • Karan Jani

    • Vanderbilt University

  • Kaylah McGowan

    • Vanderbilt University

  • Suyash Deshmukh

    • Vanderbilt University

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• Advancing Low-Latency Gravitational-Wave Detection through Machine Learning

  Oral-In-person · Withdrawn

  March 19, 2026, 1:51 PM – March 19, 2026, 2:03 PM

  Presenters

  • Bhavya Gupta

    • Massachusetts Institute of Technology

  Authors

  • Bhavya Gupta

    • Massachusetts Institute of Technology

  • Ethan Marx

    • MIT

  • William Benoit

    • University of Minnesota

  • Deep Chatterjee

    • Massachusetts Institute of Technology

  • Michael Coughlin

    • University of Minnesota

  • Eric Moreno

    • MIT

  • Philip Harris

    • Massachusetts Institute of Technology

  • Ekaterina Govorkova

    • Massachusetts Institute of Technology

  • Erik Katsavounidis

    • MIT

  • Christina Reissel

    • Massachusetts Institute of Technology

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• Best of both worlds: integrating principled matched-filtering searches with AI/ML tools

  Oral-In-person

  March 19, 2026, 2:03 PM – March 19, 2026, 2:15 PM

  Publication: https://arxiv.org/abs/2507.08318

  Presenters

  • Digvijay Wadekar

    • Johns Hopkins University

  Authors

  • Digvijay Wadekar

    • Johns Hopkins University

  • Mark Cheung

    • Institute for Advanced Study

  • Benjamin Wandelt

    • Sorbonne University

  • Arush Pimpalkar

    • National Institute of Technology, Tiruchirappalli 620015, India

  • Emanuele Berti

    • Johns Hopkins University

  • Tejaswi Venumadhav

    • University of California, Santa Barbara

  • Ajit Mehta

    • UC Santa Barbara

  • Javier Roulet

    • Caltech

  • Tousif Islam

    • University of California Santa Barbara

  • Barak Zackay

    • Weizmann Institute of Science

  • Jonathan Mushkin

    • Weizmann Institute of Science

  • Matias Zaldarriaga

    • Institute for Advanced Study

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• An AI-Driven Framework for Automated Image Preprocessing for Optimal Graph Extraction in StructuralGT

  Oral-In-person · Withdrawn

  March 19, 2026, 2:15 PM – March 19, 2026, 2:27 PM

  Presenters

  • Dickson Owuor

    • University of Michigan

  Authors

  • Dickson Owuor

    • University of Michigan

  • Nicholas Kotov

    • University of Michigan

  • Raymond Cao

    • University of Michigan

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• Neural Bayesian updating for sequential population inference on growing gravitational-wave catalogs

  Oral-In-person

  March 19, 2026, 2:27 PM – March 19, 2026, 2:39 PM

  Presenters

  • Noah Wolfe

    • Massachusetts Institute of Technology

  Authors

  • Noah Wolfe

    • Massachusetts Institute of Technology

  • Matthew Mould

    • LIGO Laboratory, MIT

  • John Veitch

    • University of Glasgow

  • Salvatore Vitale

    • Massachusetts Institute of Technology

  View abstract →