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GitHub / gutmanngroup / GradBED

Code for the paper "Gradient-Based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds" https://arxiv.org/abs/2105.04379

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gutmanngroup%2FGradBED

Fork of stevenkleinegesse/GradBED
Stars: 0
Forks: 0
Open Issues: 0

License: mit
Language:
Repo Size: 1.47 MB
Dependencies: 0

Created: over 1 year ago
Updated: 8 months ago
Last pushed: about 3 years ago
Last synced: 8 months ago

Topics: bayesian-experimental-design, implicit-models, likelihood-free-inference

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    Dependencies
    setup.py pypi