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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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04/16/2023
Out-of-Variable Generalization
The ability of an agent to perform well in new and unseen environments i...
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02/10/2023
On the Interventional Kullback-Leibler Divergence
Modern machine learning approaches excel in static settings where a larg...
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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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12/28/2021