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@@ -130,8 +130,8 @@ <h1 class="title is-1 publication-title">Toward Robust Neural Reconstruction fro
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           <b>Distributionally robust training.</b> We learn a neural SDF \( f_{\theta} \) from a point cloud (black dots) by minimizing the error between projection of spatial queries \( \{q\} \) on the level set of the field (gray curve) and their nearest input point \( p \). Instead of learning with a standard predefined distribution of queries \( Q \), we optimize for the worst-case query distribution \( Q' \) within a ball of distributions around \( Q \).