power

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@@ -56,6 +56,48 @@ <h2>Research</h2>
 
 
 
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+    <tr onmouseout="power_stop()" onmouseover="power_start()" bgcolor="#ffffd0">
+      <td style="padding:16px;width:20%;vertical-align:middle">
+        <div class="one">
+          <div class="two" id='power_image'><video  width=100% height=100% muted autoplay loop>
+          <source src="images/power.mp4" type="video/mp4">
+          Your browser does not support the video tag.
+          </video></div>
+          <img src='images/power.png' width="160">
+        </div>
+        <script type="text/javascript">
+          function power_start() {
+            document.getElementById('power_image').style.opacity = "1";
+          }
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+          function power_stop() {
+            document.getElementById('power_image').style.opacity = "0";
+          }
+          power_stop()
+        </script>
+      </td>
+      <td style="padding:8px;width:80%;vertical-align:middle">
+        <a href="https://cat-4d.github.io/">
+			<span class="papertitle">A Power Transform
+</span>
+        </a>
+        <br>
+				<strong>Jonathan T. Barron</strong>
+        <br>
+        <em>arXiv</em>, 2025
+        <br>
+        <a href="https://x.com/jon_barron/status/1891918200931061996">tweet</a>
+        /
+        <a href="https://arxiv.org/abs/2502.10647">arXiv</a>
+        <p></p>
+        <p>
+				A slight tweak to the Box-Cox power transform that generalizes a variety of curves, losses, kernel functions, probability distributions, bump functions, and neural network activation functions.
+        </p>
+      </td>
+    </tr>
+
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