diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 795e810..dd095fc 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -5,33 +5,9 @@
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   <component name="ChangeListManager">
     <list default="true" id="1b2074f0-b27b-466c-b428-bf09562f4373" name="Default Changelist" comment="">
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diff --git a/_pages/zerograds.md b/_pages/zerograds.md
index 62b70ae..a93e364 100644
--- a/_pages/zerograds.md
+++ b/_pages/zerograds.md
@@ -70,9 +70,9 @@ ol > li::marker {
                     <h4><strong>Video (coming soon)</strong></h4>
             </li>
             <li class="horizItem">
-                <a href="/zerograds">
+                <a href="https://colab.research.google.com/drive/1GNd6DdRGRHQjKyG3rIfJ9519lo9VuAq4?usp=sharing">
                 <img class="teaserbutton" src="/assets/images/colablogo.png"><br>
-                    <h4><strong>Colab (coming soon)</strong></h4>
+                    <h4><strong>Colab</strong></h4>
                 </a>
             </li>
             <li class="horizItem">
@@ -134,7 +134,7 @@ therefore can "focus on what matters" at the current optimization step. In simpl
   <li>Compute the gradient of the MLP w.r.t. the optimization parameters, and use this gradient to perform an (Adam-) gradient descent step.</li>
 </ol>  
 
-We provide a <a href="/zerograds">Colab Notebook</a> that shows a simple example and how ZeroGrads outperforms its competitors. 
+We provide a <a href="https://colab.research.google.com/drive/1GNd6DdRGRHQjKyG3rIfJ9519lo9VuAq4?usp=sharing">Colab Notebook</a> that shows a simple example and how ZeroGrads outperforms its competitors. 
 
 <br>
 <br>
@@ -185,14 +185,14 @@ previously published gradient estimator <a href="/prdpt">PRDPT</a>, here denoted
    We use a weighted mixture of MSE and KLD as the trainig loss and backpropagate this loss through the non-diff. spline
    renderer (i.e., from the rendered spline to the VAE weights) using our proposed method ZeroGrads. The below digits 
    are samples from the latent space of the trained VAE, in a variety of styles, which are easily applicable in post-processing 
-   thanks to the spline formulation. 
+   thanks to the spline formulation.<br>    
 </p>
+
 <div class="container">
     <img class="containerimg" src="/assets/images/zerograds/vae.png">
     <div class="caption"></div>
 </div>
 
-<br>
 <br>
 
 The magic that makes our approach scale to high dimensions is the surrogate's hysteresis, which reduces the gradient 
diff --git a/_site/feed.xml b/_site/feed.xml
index 8bb78c9..b3221d6 100644
--- a/_site/feed.xml
+++ b/_site/feed.xml
@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="http://localhost:4000/feed.xml" rel="self" type="application/atom+xml" /><link href="http://localhost:4000/" rel="alternate" type="text/html" /><updated>2024-05-13T11:04:51+01:00</updated><id>http://localhost:4000/feed.xml</id><title type="html">Michael Fischer</title><subtitle>Michael Fischer, PhD Student in AI and Computer Graphics at University College London (UCL).</subtitle><author><name>Michael Fischer</name></author><entry><title type="html">Welcome to Jekyll!</title><link href="http://localhost:4000/blog/welcome-to-jekyll/" rel="alternate" type="text/html" title="Welcome to Jekyll!" /><published>2019-04-18T20:34:30+01:00</published><updated>2019-04-18T20:34:30+01:00</updated><id>http://localhost:4000/blog/welcome-to-jekyll</id><content type="html" xml:base="http://localhost:4000/blog/welcome-to-jekyll/">&lt;p&gt;You’ll find this post in your &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;_posts&lt;/code&gt; directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;jekyll serve&lt;/code&gt;, which launches a web server and auto-regenerates your site when a file is updated.&lt;/p&gt;
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="http://localhost:4000/feed.xml" rel="self" type="application/atom+xml" /><link href="http://localhost:4000/" rel="alternate" type="text/html" /><updated>2024-05-13T12:47:17+01:00</updated><id>http://localhost:4000/feed.xml</id><title type="html">Michael Fischer</title><subtitle>Michael Fischer, PhD Student in AI and Computer Graphics at University College London (UCL).</subtitle><author><name>Michael Fischer</name></author><entry><title type="html">Welcome to Jekyll!</title><link href="http://localhost:4000/blog/welcome-to-jekyll/" rel="alternate" type="text/html" title="Welcome to Jekyll!" /><published>2019-04-18T20:34:30+01:00</published><updated>2019-04-18T20:34:30+01:00</updated><id>http://localhost:4000/blog/welcome-to-jekyll</id><content type="html" xml:base="http://localhost:4000/blog/welcome-to-jekyll/">&lt;p&gt;You’ll find this post in your &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;_posts&lt;/code&gt; directory. Go ahead and edit it and re-build the site to see your changes. You can rebuild the site in many different ways, but the most common way is to run &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;jekyll serve&lt;/code&gt;, which launches a web server and auto-regenerates your site when a file is updated.&lt;/p&gt;
 
 &lt;p&gt;To add new posts, simply add a file in the &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;_posts&lt;/code&gt; directory that follows the convention &lt;code class=&quot;language-plaintext highlighter-rouge&quot;&gt;YYYY-MM-DD-name-of-post.ext&lt;/code&gt; and includes the necessary front matter. Take a look at the source for this post to get an idea about how it works.&lt;/p&gt;
 
diff --git a/_site/zerograds/index.html b/_site/zerograds/index.html
index 549fb58..c699c5c 100644
--- a/_site/zerograds/index.html
+++ b/_site/zerograds/index.html
@@ -400,9 +400,9 @@ <h4><strong>Paper</strong></h4>
                     <h4><strong>Video (coming soon)</strong></h4>
             </li>
             <li class="horizItem">
-                <a href="/zerograds">
+                <a href="https://colab.research.google.com/drive/1GNd6DdRGRHQjKyG3rIfJ9519lo9VuAq4?usp=sharing">
                 <img class="teaserbutton" src="/assets/images/colablogo.png" /><br />
-                    <h4><strong>Colab (coming soon)</strong></h4>
+                    <h4><strong>Colab</strong></h4>
                 </a>
             </li>
             <li class="horizItem">
@@ -464,7 +464,7 @@ <h4><strong>Supplemental</strong></h4>
   <li>Compute the gradient of the MLP w.r.t. the optimization parameters, and use this gradient to perform an (Adam-) gradient descent step.</li>
 </ol>  
 
-We provide a <a href="/zerograds">Colab Notebook</a> that shows a simple example and how ZeroGrads outperforms its competitors. 
+We provide a <a href="https://colab.research.google.com/drive/1GNd6DdRGRHQjKyG3rIfJ9519lo9VuAq4?usp=sharing">Colab Notebook</a> that shows a simple example and how ZeroGrads outperforms its competitors. 
 
 <br />
 <br />
@@ -515,14 +515,14 @@ <h4><strong>Supplemental</strong></h4>
    We use a weighted mixture of MSE and KLD as the trainig loss and backpropagate this loss through the non-diff. spline
    renderer (i.e., from the rendered spline to the VAE weights) using our proposed method ZeroGrads. The below digits 
    are samples from the latent space of the trained VAE, in a variety of styles, which are easily applicable in post-processing 
-   thanks to the spline formulation. 
+   thanks to the spline formulation.<br />    
 </p>
+
 <div class="container">
     <img class="containerimg" src="/assets/images/zerograds/vae.png" />
     <div class="caption"></div>
 </div>
 
-<br />
 <br />
 
 The magic that makes our approach scale to high dimensions is the surrogate's hysteresis, which reduces the gradient