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06/16/2020
On parametric tests of relativity with false degrees of freedom
General relativity can be tested by comparing the binary-inspiral signal...
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09/12/2019
Learning Bayes' theorem with a neural network for gravitational-wave inference
We wish to achieve the Holy Grail of Bayesian inference with deep-learni...
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11/13/2018
Sampling from manifold-restricted distributions using tangent bundle projections
A common problem in Bayesian inference is the sampling of target probabi...
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11/13/2018
ROMAN: Reduced-Order Modeling with Artificial Neurons
Gravitational-wave data analysis is rapidly absorbing techniques from de...
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11/16/2017
Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers
We present ENIGMA, a time domain, inspiral-merger-ringdown waveform mode...
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11/16/2017
ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers
We present ENIGMA, a time domain, inspiral-merger-ringdown waveform mode...
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04/05/2016