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kazewong · Jul 19, 2023 · a8ade9a · a8ade9a
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diff --git a/slides/amaldi2023/SBI.html b/slides/amaldi2023/SBI.html
@@ -2,8 +2,31 @@
     <h2 class="header">Simulation-based inference</h2>
 </section>
 
+<section>
+    <h4 class="header">Simulate, train, compare</h4>
+    <div class="column">
+        <img data-src="https://dark.nbi.ku.dk/news/dark-news-21/simulation-based-inference-of-dynamical-galaxy-cluster-masses-with-3d-convolutional-neural-networks/Doogesh.png" width="100%">
+        <img data-src="https://ep-news.web.cern.ch/sites/default/files/inline-images/EP-March-2021/ML-EP-news3.png" width="100%">
+
+    </div>
+</section>
+
 <!-- Single event inference -->
 
+<section>
+    <h4 class="header"> Single event inference </h4>
+        <div class="row">
+            <div class="fragment" style="padding-right: 20px">
+                <p style="padding:0%; margin:0%;"> Data </p>
+                <img data-src="../scma8/images/TimeSeries.png" height="360px">
+            </div>
+            <div class="fragment" style="padding-right: 20px">
+                <p style="padding:0%; margin:0%;"> Source properties </p>
+                <img data-src="../scma8/images/m1m2PE.png" height="360px">
+            </div>
+        </div>
+</section>
+
 <section>
     <h4 class="header">Single event inference</h4>
     <img data-src="https://d3i71xaburhd42.cloudfront.net/284498ac6472eb973ef9bbdd97d2bfb667b7f652/2-Figure1-1.png" width="100%">

diff --git a/slides/amaldi2023/hybrid.html b/slides/amaldi2023/hybrid.html
@@ -5,7 +5,7 @@ <h2 class="header">Hybrid method</h2>
 <!-- Differentiable models -->
 
 <section>
-    <h4 class="header">Jax - python on steroid</h4>
+    <h4 class="header">Infrastructure around AI is just as cool</h4>
     <div class="column">
         <div class="row" style="justify-content: space-evenly;">
             <img class="row" data-src="../scma8/images/Jax.png">
@@ -64,6 +64,13 @@ <h4>flowMC - Normalizing flow enhanced MCMC</h4>
     </div>
 </section>
 
+<section>
+    <h4 class="header">How does it work? Normal MCMC</h4>
+    <video controls autoplay>
+        <source src="../scma8/videos/BuildingFlow.mp4" type="video/mp4">
+    </video>
+</section>
+
 <section>
     <h4 class="header">How does it work? Building normalizng flow</h4>
     <video controls autoplay>

diff --git a/slides/amaldi2023/model.html b/slides/amaldi2023/model.html
@@ -2,8 +2,32 @@
     <h2 class="header">Model design</h2>
 </section>
 
+<section>
+    <h4 class="header"> Challenges for population analysis </h4>
+    <div class="row">
+        <img data-src="../scma8/images/GWTC3_phenomModels.png" height="480px;">
+        <div class="column">
+            <ol style="margin:50px; padding-left:20px; margin-bottom: 0px;">
+                <li class="fragment"> Growingly difficult to build models </li>
+                <li class="fragment"> Hard to go to high dimension</li>
+                <li class="fragment"> Powered by smart people (short in supply) </li>
+            </ol>
+            <img class="fragment" data-src="../scma8/images/GWTC3spline.png" height="200px;" style="margin-left:20px; margin-top:42px;">
+        </div>
+    </div>
+</section>
+
 <!-- Flexible model -->
 
+<section>
+    <h4 class="header">Flexible population model</h4>
+
+    <div class="column fragment fade-in">
+        <img data-src="../scma8/images/David_money_plot.png">
+        <p class="fragment" style="color: rgb(224, 71, 71); font-size:24pt"> It works, but unstable with selection function?</p>
+     </div>
+</section>
+
 <!-- Symbolic regression -->
 
 <section>
@@ -12,12 +36,8 @@ <h4 style="margin-left:27%"> Symbolic regression </h4>
         <img data-src="../scma8/images/PySR.png" style="margin-top: 0; margin-left: 20px;" height="50px">
     </div>
 
-    <div class="row">
-        <blockquote class="twitter-tweet tw-align-center">
-            <p lang="en" dir="ltr">Three years ago, I started working on an easy-to-use tool for interpretable machine learning in science. I wanted it to do for symbolic regression what Theano did for deep learning.<br><br>Today, I am beyond excited to share with you the paper describing it!<a href="https://t.co/be2cVdukPy">https://t.co/be2cVdukPy</a><br><br>1. <a href="https://t.co/9Cld0LL29u">pic.twitter.com/9Cld0LL29u</a></p>&mdash; Miles Cranmer (@MilesCranmer) <a href="https://twitter.com/MilesCranmer/status/1654169022852894721?ref_src=twsrc%5Etfw">May 4, 2023</a>
-        </blockquote>
-        <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
-    </div>
+    <iframe src="https://user-images.githubusercontent.com/7593028/238191929-c8511a49-b408-488f-8f18-b1749078268f.mp4" width="100%" height="480px" frameborder="0" allowfullscreen></iframe>
+
 </section>
 
 
@@ -31,5 +51,5 @@ <h4 class="header"> Closing the loop</h4>
 <!-- Learning likelihood from data -->
 
 <section>
-
+    <h4></h4>
 </section>