diff --git a/slides/NYU2023/hybrid.html b/slides/NYU2023/hybrid.html index 629bab4d1d5..f79d9fa4898 100644 --- a/slides/NYU2023/hybrid.html +++ b/slides/NYU2023/hybrid.html @@ -148,16 +148,15 @@

Putting the tools together - Jim

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Preliminary development - going beyond Gaussian

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Lensing with cosmic ray

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GW with glitch (not yet)

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Why does it work?

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  1. NF makes proposal more efficient and flexible
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  3. GPU helps generate data for NF
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  5. Still retain good properties of MCMC
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  7. As interpretable and generalizable as normal method
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diff --git a/slides/NYU2023/intro.html b/slides/NYU2023/intro.html index 443d7250b67..c1b7cb132c2 100644 --- a/slides/NYU2023/intro.html +++ b/slides/NYU2023/intro.html @@ -70,9 +70,3 @@

Machine learning in GW

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This talk is more about opinions than methods

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"Should I use this method for this problem?"

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"Should I really approach the problem like this?"

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Take away

  • Think about automation and scalability
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    Discussion time

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