Add SBI conclusion

kazewong · Jul 18, 2023 · f3e7012 · f3e7012
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diff --git a/slides/amaldi2023/SBI.html b/slides/amaldi2023/SBI.html
@@ -25,5 +25,30 @@ <h4 class="header">Population inference</h4>
 </section>
 
 <section>
-    <h4 class="header">Lesson from two SBI scenarios</h4>
+    <h3 class="header">Lesson from two SBI scenarios</h4>
+    <div class="column">
+        <div class="row" style="justify-content: space-between;">
+            <div class="column" style="color: skyblue;">
+                <h4 class="fragment" style="color: skyblue;">Perks of SBI</h4>
+                <ol>
+                    <li class="fragment">Fast inference</li>
+                    <li class="fragment">Low retuning human effort</li>
+                    <li class="fragment">Flexible assumptions</li>
+                </ol>
+            </div>
+            <div class="column" style="color: tomato;">
+                <h4 class="fragment" style="color: tomato;">Dangers of SBI</h4>
+                <ol>
+                    <li class="fragment">"Why is my mass negative"</li>
+                    <li class="fragment">Are we really winning?</li>
+                    <li class="fragment">Retraining cost</li>
+                </ol>
+            </div>
+        </div>
+        <div class="column" style="margin-top: 30px;">
+            <p class="fragment" style="margin: 3px; color: skyblue;">Fixed model, changing data -> Good </p>
+            <p class="fragment" style="margin: 3px; color: tomato;">Fixed data, change model -> Bad </p>
+        </div>
+    </div>
+
 </section>
diff --git a/slides/amaldi2023/images/slic_corner.png b/slides/amaldi2023/images/slic_corner.png
diff --git a/slides/amaldi2023/images/slic_gen_noise.png b/slides/amaldi2023/images/slic_gen_noise.png
diff --git a/slides/amaldi2023/model.html b/slides/amaldi2023/model.html
@@ -6,4 +6,30 @@ <h2 class="header">Model design</h2>
 
 <!-- Symbolic regression -->
 
+<section>
+    <div class="row">
+        <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>
+</section>
+
+
+<section>
+    <h4 class="header"> Closing the loop</h4>
+    <div class="column">
+        <img class="row" data-src="../scma8/images/Miles_ICML.png">
+    </div>
+</section>
+
 <!-- Learning likelihood from data -->
+
+<section>
+
+</section>