jester: JAX-accelerated equation of state inference and TOV solvers Permalink
Talk, CUTER Collaboration Meeting,
Talks and presentations
GPU-accelerated multimessenger inference: applications and prospects Permalink
Journal Club, University of Amsterdam (UvA) Journal Club, Amsterdam, Netherlands
Equation of state inference systematics in the ET era with jester Permalink
Talk, Einstein Telescope Division 6 Roadmap Meeting,
Incorporating neutron star physics into gravitational wave inference with neural priors Permalink
Talk, LVK Machine Learning / AI Group Meeting, Pisa, Italy
jester v0.2.0: Scalable inference of the equation of state with multimessenger data Permalink
Talk, LVK Collaboration Meeting, Pisa, Italy
Incorporating neutron star physics into gravitational wave inference with neural priors Permalink
Flash Talk, GWfreeride 2026,
Incorporating neutron star physics into gravitational wave inference with neural priors Permalink
Talk, GRANDMA Collaboration Meeting,
Analyzing GW231109_235456 in the ET era and incorporating neutron star physics into future GW inference Permalink
Talk, Einstein Telescope Division 6 Meeting,
Accelerated Bayesian inference with JAX Permalink
Talk, ACUD / SURF meeting,
Incorporating neutron star physics into gravitational wave inference with neural priors Permalink
Talk, LVK Electromagnetic Follow-up Group Meeting,
Incorporating neutron star physics into gravitational wave inference with neural priors Permalink
Talk, LVK Parameter Estimation Group Meeting,
Analyzing GW231109_235456 and its implications for the neutron star equation of state Permalink
Talk, Nederlandse Natuurkundige Vereniging (NNV) meeting, Netherlands
Encoding neutron star information into neural priors for gravitational wave analyses Permalink
Talk, Belgian-Dutch Gravitational-Wave Meeting,
Accelerated Bayesian inference with JAX Permalink
Talk, SACAW / SURF meeting,
Towards GPU-accelerated multimessenger inference of neutron star mergers and dense matter physics Permalink
Seminar, Max Planck Institute for Gravitational Physics (Albert Einstein Institute),
Scalable Bayesian Inference for Third-Generation Gravitational Wave Data with Normalizing Flows Permalink
Talk, EuCAIFCon (European AI for Fundamental Physics Conference),
Scalable Bayesian inference for 3G: Leveraging hardware acceleration and normalizing flows Permalink
Talk, Einstein Telescope Symposium,
From constraints to classifications: closing the loop in neutron star data analysis Permalink
Talk, AIslands,
Leveraging Differentiable Programming in the Inverse Problem of Neutron Stars Permalink
Talk, Extreme Matter Workshop,
Predict and Prejudice: Classification of compact objects and model comparison using EOS knowledge Permalink
Talk, Extreme Matter Call,
GW230529: identifying objects in the lower mass gap Permalink
Talk, Nikhef meeting (Jamboree) 2024, Netherlands
Accelerating gravitational-wave parameter estimation with normalizing flows Permalink
Talk, ML4GW Workshop, MIT, Cambridge, MA, USA (presented remotely)
Accelerating gravitational-wave parameter estimation with normalizing flows Permalink
Talk, ML4GW Workshop, Utrecht University, Utrecht, Netherlands