Deploying to gh-pages from @ e2c6cf2 🚀

Author: naveenguptaiitr

assets/jupyter/blog.ipynb.html

@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://kgml-lab.github.io/feed.xml" rel="self" type="application/atom+xml"/><link href="https://kgml-lab.github.io/" rel="alternate" type="text/html" hreflang="en"/><updated>2025-04-21T00:47:46+00:00</updated><id>https://kgml-lab.github.io/feed.xml</id><title type="html">KGML Lab</title><subtitle>Group website of Knowledge-guided Machine Learning (KGML) Lab at Virginia Tech </subtitle><entry><title type="html">Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra</title><link href="https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra/" rel="alternate" type="text/html" title="Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra"/><published>2024-05-14T00:00:00+00:00</published><updated>2024-05-14T00:00:00+00:00</updated><id>https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra</id><content type="html" xml:base="https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra/"><![CDATA[]]></content><author><name></name></author><summary type="html"><![CDATA[We’re sharing updates across our Gemini family of models and a glimpse of Project Astra, our vision for the future of AI assistants.]]></summary></entry><entry><title type="html">Displaying External Posts on Your al-folio Blog</title><link href="https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog/" rel="alternate" type="text/html" title="Displaying External Posts on Your al-folio Blog"/><published>2022-04-23T23:20:09+00:00</published><updated>2022-04-23T23:20:09+00:00</updated><id>https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog</id><content type="html" xml:base="https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog/"><![CDATA[]]></content><author><name></name></author></entry></feed>
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://kgml-lab.github.io/feed.xml" rel="self" type="application/atom+xml"/><link href="https://kgml-lab.github.io/" rel="alternate" type="text/html" hreflang="en"/><updated>2025-04-21T00:52:15+00:00</updated><id>https://kgml-lab.github.io/feed.xml</id><title type="html">KGML Lab</title><subtitle>Group website of Knowledge-guided Machine Learning (KGML) Lab at Virginia Tech </subtitle><entry><title type="html">Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra</title><link href="https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra/" rel="alternate" type="text/html" title="Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra"/><published>2024-05-14T00:00:00+00:00</published><updated>2024-05-14T00:00:00+00:00</updated><id>https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra</id><content type="html" xml:base="https://kgml-lab.github.io/blog/2024/google-gemini-updates-flash-15-gemma-2-and-project-astra/"><![CDATA[]]></content><author><name></name></author><summary type="html"><![CDATA[We’re sharing updates across our Gemini family of models and a glimpse of Project Astra, our vision for the future of AI assistants.]]></summary></entry><entry><title type="html">Displaying External Posts on Your al-folio Blog</title><link href="https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog/" rel="alternate" type="text/html" title="Displaying External Posts on Your al-folio Blog"/><published>2022-04-23T23:20:09+00:00</published><updated>2022-04-23T23:20:09+00:00</updated><id>https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog</id><content type="html" xml:base="https://kgml-lab.github.io/blog/2022/displaying-external-posts-on-your-al-folio-blog/"><![CDATA[]]></content><author><name></name></author></entry></feed>

feed.xml

@@ -5,17 +5,6 @@
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <meta name="description" content="A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations.">
   <title>GFI: Generalized Forward-Inverse Framework</title>
-
-<!--   <link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro" rel="stylesheet">
-  <link rel="stylesheet" href="./static/css/bulma.min.css">
-  <link rel="stylesheet" href="./static/css/index.css">
-  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/academicons.min.css">
-  <link rel="icon" href="https://raw.githubusercontent.com/KGML-lab/KGML-lab.github.io/master/assets/img/lab_logo_icon.png">
-
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-  <script defer src="./static/js/fontawesome.all.min.js"></script>
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-
 
   <link rel="stylesheet" href="./static/css/index.css" />
   <link rel="icon" href="./static/images/icons/favicon.ico" />
@@ -134,7 +123,7 @@ <h2 class="banded">Method Overview</h2>
     </ol>
 
   <!-- Experiments -->
-  <h2 class="banded"> Experiments </h2>
+  <h2 class="banded"> Experiments and Results </h2>
   <p style="text-align:justify;">
     We consider the OpenFWI collection of datasets, comprising multi-structural benchmark datasets for DL4SI grouped into: Vel, Fault, and Style Families. We compare Latent U-Net and Invertible X-Net on these datasets against several baseline methods for both forward and inverse problems. 
     <ol>
@@ -176,11 +165,34 @@ <h2 class="banded"> Experiments </h2>
       </li>
     </ol>
 
-     
+  <h2 class="banded"> BibTeX </h2>
+  <pre class="reference">
+    <code>
+      @inproceedings{
+      gupta2025a,
+      title={A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations},
+      author={Naveen Gupta and Medha Sawhney and Arka Daw and Youzuo Lin and Anuj Karpatne},
+      booktitle={The Thirteenth International Conference on Learning Representations},
+      year={2025},
+      url={https://openreview.net/forum?id=yIlyHJdYV3}
+      }
+    </code>
+  </pre>
+
+  <h2 class="banded">Acknowledgement</h2>
+  <p>
+        This work was supported in part by NSF awards IIS-2239328 and IIS-2107332. We are grateful
+        to the Advanced Research Computing (ARC) Center at Virginia Tech for providing access to GPU
+        compute resources for this project. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government
+        retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the
+        published form of this manuscript, or allow others to do so, for US government purposes. DOE will
+        provide public access to these results of federally sponsored research in accordance with the DOE
+        Public Access Plan ( https://www.energy.gov/doe-public-access-plan).
+  </p>
 
 
 
-  
+<!--   
   <!-- BibTeX -->
   <section class="section" id="bibtex">
     <div class="container is-max-desktop content">
@@ -194,22 +206,8 @@ <h2 class="title">BibTeX</h2>
   url={https://openreview.net/forum?id=yIlyHJdYV3}
   }</code></pre>
     </div>
-  </section>
+  </section> -->
 
-  <section class="section" id="acknowledgement">
-    <div class="container is-max-desktop content">
-      <h2 class="title">Acknowledgement</h2>
-      <p>
-        This work was supported in part by NSF awards IIS-2239328 and IIS-2107332. We are grateful
-        to the Advanced Research Computing (ARC) Center at Virginia Tech for providing access to GPU
-        compute resources for this project. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government
-        retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the
-        published form of this manuscript, or allow others to do so, for US government purposes. DOE will
-        provide public access to these results of federally sponsored research in accordance with the DOE
-        Public Access Plan ( https://www.energy.gov/doe-public-access-plan).
-      </p>
-    </div>
-  </section>
   </main>
 
 </body>

projects/GFI-framework/index.html

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