Update index.html

Author: sawhney-medha

projects/GFI-framework/index.html

@@ -179,14 +179,14 @@ <h2 class="banded"> Zero-shot Generalization </h2>
      Figure 6: Zero-shot generalization (both forward and inverse) on Marmousi and Overthrust datasets using models trained on STA and STB datasets, respectively.
   </figcaption>
 
-  <h2 class="banded"> Conclusions </h2>
+  <h2 class="banded"> Conclusion </h2>
   <p>
     In this work, we introduced a unified framework for solving both forward and inverse problems in subsurface imaging, termed the Generalized-Forward-Inverse (GFI) framework.
     Within this framework, we proposed two novel architectures, Latent U-Net and Invertible X-Net, that leverage the power of U-Nets and IU-Nets to perform latent space translations, respectively.
     Our study also addresses several key questions left unanswered by prior research in subsurface imaging discussed in the paper. We recommend reading the full paper for details.
   </p>
 
-  <h2 class="banded"> Reference </h2>
+  <h2 class="banded"> BibTeX </h2>
   <pre class="reference">
     <code>
       @inproceedings{