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05/26/2023
Flow Matching for Scalable Simulation-Based Inference
Neural posterior estimation methods based on discrete normalizing flows ...
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11/16/2022
Adapting to noise distribution shifts in flow-based gravitational-wave inference
Deep learning techniques for gravitational-wave parameter estimation hav...
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10/11/2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference
We combine amortized neural posterior estimation with importance samplin...
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01/17/2022
Using machine learning to parametrize postmerger signals from binary neutron stars
There is growing interest in the detection and characterization of gravi...
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11/25/2021
Group equivariant neural posterior estimation
Simulation-based inference with conditional neural density estimators is...
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06/23/2021
Real-time gravitational-wave science with neural posterior estimation
We demonstrate unprecedented accuracy for rapid gravitational-wave param...
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08/07/2020
Complete parameter inference for GW150914 using deep learning
The LIGO and Virgo gravitational-wave observatories have detected many e...
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02/18/2020