AI for Gravitational Waves Workshop @ CERN

from Tuesday, May 5, 2026 (10:00 AM) to Friday, May 8, 2026 (5:10 PM)
CERN (40/S2-A01)

        : Sessions
    /     : Talks
        : Breaks
May 5, 2026
May 6, 2026
May 7, 2026
May 8, 2026
AM
10:00 AM Registration  
9:00 AM
AI for data analysis - gianluca inguglia (until 10:20 AM)
9:00 AM Real-Time Gravitational-Wave Inference with Probabilistic Machine Learning - Maximilian Dax  
9:20 AM Using AI for GW detection, Classification and Parameter Estimation - Huw Haigh (Austrian Academy of Sciences (AT))  
9:40 AM Rapid Detection and Inference of Extreme-Mass-Ratio Inspirals in LISA: Divide and Conquer - Rahul Srinivasan  
10:00 AM The power of Normalizing Flows for Bayesian inference - Dr Eleonora Villa (INAF - IASF Mi)  
10:20 AM --- Coffee Break ---
10:50 AM
AI for data analysis - gianluca inguglia (until 12:10 PM)
10:50 AM Tackling the LISA Global Fit: Scalable Simulation-Based Inference and the Road Ahead - James Alvey (University of Cambridge)  
11:10 AM ★ Simulation-Based Homotopy: Stress-Testing Gravitational-Wave Posteriors ★ - Giada Chiara Badaracco (ETH Zurich (CH))  
11:30 AM ★ Overlapping signals in 3G detectors: an approach based on Transformers ★ - Lucia Papalini (University of Pisa & INFN-Pisa)  
11:50 AM Accelerating LISA inference with Gaussian processes - JESUS TORRADO CACHO (Instituto de Estructura de la Materia (IEM-CSIC))  
9:30 AM
Synergy with CERN - Maurizio Pierini (CERN) (until 10:30 AM)
9:30 AM AI on edge, underground and in space - Sioni Paris Summers (CERN)  
10:00 AM Agentic AI for infrastructure control - Fernando Varela Rodriguez (CERN)  
10:30 AM --- Coffee Break ---
11:15 AM
Synergy with CERN (until 12:15 PM)
11:15 AM The CERN AI infrastructure - Ricardo Rocha (CERN)  
11:45 AM Rethinking the HL-LHC CMS Real-Time data processing with NGT - Sabrina Giorgetti (CERN)  
9:00 AM
AI for real-time data processing (until 10:40 AM)
9:00 AM ★ Scalable detection of long-duration gravitational wave signals from neutron star binaries in next-generation ground-based detectors ★ - Martin Gerini (UCLouvain)  
9:20 AM ★ BOAW: a neural network approach to combining multiple pipelines in gravitational-wave searches ★ - Nikolas Moustakidis (Aristotle University of Thessaloniki) Mr Theofilos Moustakidis (University of Thessaly)  
9:40 AM ★ Normalizing flows for complete parameter estimation on time-frequency representations of gravitational-wave data ★ - Daniel Lanchares (Universidad de Oviedo - ICTEA)  
10:00 AM GWEEP: A Deep Learning Toolkit for Low‑Latency Gravitational‑Wave Analysis - Ana Caramete (Institute of Space Science - INFLPR Subsidiary)  
10:20 AM The Present and the Future of Machine Learning for Multi-Messenger Astrophysics - Michael Coughlin (University of Minnesota)  
10:40 AM --- Coffee Break ---
11:30 AM
AI for detector operations (until 12:30 PM)
11:30 AM GlitchFlow: generative neural networks for de-noising gravitaional waves data in present and future detectors. - Francesco Sarandrea  
11:50 AM Operations of GW alert validation in O4 - Sarah ANTIER (IJCLAB)  
12:10 PM Deployable Reinforcement Learning for Interferometric Control - Nikhil Mukund (MIT)  
PM
12:00 PM --- Lunch ---
1:30 PM Organisational welcome - Katya Govorkova (Massachusetts Inst. of Technology (US))  
1:35 PM Welcome from CERN - Maurizio Pierini (CERN)  
2:00 PM ET keynote - Prof. Paolo Pani  
2:45 PM LISA keynote - Michele Vallisneri  
3:30 PM --- Coffee Break ---
4:00 PM LVK keynote - Viola Sordini (Centre National de la Recherche Scientifique (FR))  
4:45 PM PTA keynote - Stas Babak  
5:30 PM MMA keynote - Daniel Muthukrishna (MIT)  
12:10 PM --- Lunch ---
1:20 PM
AI for GW Simulation - Erik Katsavounidis (MIT) (until 3:00 PM)
1:20 PM Representation-Aware Self Supervised Learning for Gravitational Wave Science: Introducing GWCLIP - Uddipta Bhardwaj (ETH Zurich)  
1:40 PM Fast Simulation of Gravitational-Wave Signals and Glitch Populations for Data Analysis - Melissa Lopez (Utrecht University)  
2:00 PM ★ What Lies Beneath the Noise: Inferring Galactic Binary Populations in LISA with SBI ★ - Federico De Santi (University of Milano-Bicocca)  
2:20 PM Comparing next-generation detector configurations for high-redshift gravitational wave sources with neural posterior estimation - Filippo Santoliquido (Gran Sasso Science Institute)  
2:40 PM Autoencoder based surrogate model for gravitational waves from BBH mergers - Anastasios Theodoropoulos  
3:00 PM
Group photo in the coffee area (until 3:10 PM)
3:10 PM
Posters (until 4:20 PM)
3:10 PM Accurate and efficient simulation-based inference for massive black-hole binaries with LISA - Alice Spadaro (L2IT)  
3:10 PM Calibrated GW Bayes Factors in real noise - Alexandre Göttel (School of mathematical sciences, University of Nottingham)  
3:10 PM Deploying GeoAI for Siting Cosmic Explorer - Warren Bristol (University of Arizona)  
3:10 PM Early Detection of Sudden Beam Loss at SuperKEKB using Time-Series Anomaly Detection - Philipp Horak (University of Victoria)  
3:10 PM Enhancing DeepClean: Towards Scalable and Adaptive Gravitational-Wave Denoising - Sharvari Tatachar (Georgia Institute of Technology)  
3:10 PM From Fast Radio Bursts to Gravitational Waves: Adapting Multi-Modal CNNs for Robust, Low-Latency Transient Detection - Rizchel Masong  
3:10 PM GravCloud: A stacked LSTM-Pointcloud Framework for LIGO Glitch Classification - Maria Theodora Folina (Democritus University of Thrace & CERN)  
3:10 PM How effectively can Neural Posterior Estimation infer the Neutron Star Equation of State? - Valéria Carvalho  
3:10 PM How Many Noise Realizations Do We Really Need? Quantifying Sensitivity Metric Robustness for ML-Based Gravitational-Wave Searches - Alexandra Eleni Koloniari (Aristotle University of Thessaloniki)  
3:10 PM Identifying spacetimes using neural networks - Estuti Shukla (Penn State University)  
3:10 PM Improved searches for nanohertz gravitational wave background anisotropies with simulation-based inference - Anna-Malin Lemke  
3:10 PM Isometric embeddings for gravitational wave template banking - Alexandra Wernersson  
3:10 PM Machine Learning Applications in Numerical Relativity Simulations - William Cook  
3:10 PM Pinpointing PTA Single Sources: Sequential SBI for Sky Localization - Ludovica Carbone (University of Milano-Bicocca)  
3:10 PM Plug-and-Play methods for reconstructing polarizations of gravitational wave signals - Thomas SAINRAT  
3:10 PM Simultaneous Misalignment and Mode Mismatch Sensing in Optical Cavities Using Intensity-Only Measurements - Liu Tao (AstroParticule & Cosmologie, Université Paris Cité)  
3:10 PM The PEARLS project: Precision in Energy-aware AI Research for Low-carbon Solutions - Josephine Prochnow  
3:10 PM The Quantum Leap: A Quantum Mechine Learning Approach for Detection of Gravitational Waves in the Context of LISA Space Mission - Maria Isfan  
3:10 PM The Shape of Eccentricity: Rapid Classification of Eccentric Binaries with the Wavelet Scattering Transform - Dr Priscilla Canizares (University of Cambridge)  
4:20 PM
AI for real-time data processing (until 5:00 PM)
4:20 PM Machine Learning in LIGO: current and future applications - Mr Siddharth Soni (University of California, Riverside)  
4:40 PM Realtime search and inference of binary black holes in LVK data using AI - Deep Chatterjee  
5:00 PM
Tutorials (until 6:00 PM)
12:15 PM --- Lunch ---
1:30 PM
AI for data analysis - Valerie Domcke (CERN) (until 2:50 PM)
1:30 PM ★ Linear Oscillatory State-Space Models for Binary Neutron Star Detection ★ - Benedict Armstrong  
1:50 PM ★ From Inspiral to Inference: BNS Parameter Estimation with State Space Models ★ - Kyungseop Yoon (Massachusetts Institute of Technology)  
2:10 PM ★ SlotFlow: Amortized Trans-Dimensional Inference towards LISA ★ - Giovanni Giarda  
2:30 PM ★ GWAK2: Gravitational Wave Anomalous Knowledge using SSL ★ - Andy Chen (Institute of Physics, National Yang-Ming Chiao Tung University, Hsinchu, Taiwan) Eric Anton Moreno (Massachusetts Institute of Technology (US))  
2:50 PM --- Coffee break ---
3:20 PM
AI for detector operations - Jan Harms (INFN - National Institute for Nuclear Physics) (until 5:00 PM)
3:20 PM From Post Hoc Subtraction to Source Suppression: ML Noise Mitigation in Advanced LIGO - Christina Reissel (Massachusetts Inst. of Technology (US))  
3:40 PM Non-linear noise regression in the Virgo detector - R. Weizmann Kiendrebeogo (IRFU, CEA, Universit´e Paris-Saclay, F-91191 Gif-sur-Yvette, France)  
4:00 PM Tools for real-time inferences in GW detectors - Sebastien Viret (Centre National de la Recherche Scientifique (FR))  
4:20 PM ★ Computational Discovery of Interferometric Gravitational Wave Detectors ★ - Jonathan Klimesch (University of Tübingen)  
4:40 PM Deep Loop Shaping for Angular Sensing and Control in Virgo - Tomislav Andric (Gran Sasso Science Institute & INFN-LNGS)  
5:00 PM
Tutorials (until 6:00 PM)
5:00 PM Tutorial - Tomislav Andric (Gran Sasso Science Institute & INFN-LNGS)  
12:30 PM
Student Prize Ceremony (until 12:50 PM)