Looking for the lost function generating the lost landscape shown in this article on Sceince

username: oat
cooked: <p>I’m looking for the <strong>lost function</strong>, and data associated, that was used to generate the “lost landscape” (aka, scalar field) image shown on the following article published on Science. Hope someone can shed a light. Thanks.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/8/e/8edb4220a05d7224ea2cf65ab7253f82c599fda3.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/8edb4220a05d7224ea2cf65ab7253f82c599fda3" title="F1.large"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/8/e/8edb4220a05d7224ea2cf65ab7253f82c599fda3_2_616x500.jpeg" alt="F1.large" data-base62-sha1="knLyGYwqSJvf5PHn8fvxMOsYRvJ" width="616" height="500" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/8/e/8edb4220a05d7224ea2cf65ab7253f82c599fda3_2_616x500.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/8/e/8edb4220a05d7224ea2cf65ab7253f82c599fda3_2_924x750.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/8/e/8edb4220a05d7224ea2cf65ab7253f82c599fda3.jpeg 2x" data-dominant-color="C3CEB3"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">F1.large</span><span class="informations">1205×977 183 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>Source: “IMAGE: ALEXANDER AMINI, DANIELA RUS. MASSACHUSETTS INSTITUTE OF TECHNOLOGY, ADAPTED BY M. ATAROD/SCIENCE”</p>
<p>[article link] (<a href="https://science.sciencemag.org/content/360/6388/478/tab-figures-data" rel="noopener nofollow ugc">https://science.sciencemag.org/content/360/6388/478/tab-figures-data</a>)</p>

username: oat
cooked: <p><a href="https://arxiv.org/pdf/1805.04829.pdf" rel="noopener nofollow ugc">Spatial Uncertainty Sampling for End to End Control</a>, pp.2., by Alexander Amini, Ava Soleimany, Sertac Karaman.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/2/c/2c18e894d0ec0905a885aab5d47d620c0b3c42e6.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/2c18e894d0ec0905a885aab5d47d620c0b3c42e6" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/2/c/2c18e894d0ec0905a885aab5d47d620c0b3c42e6_2_550x499.jpeg" alt="image" data-base62-sha1="6i6nfljlltBO7MhVy8EbXU4w3P0" width="550" height="499" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/2/c/2c18e894d0ec0905a885aab5d47d620c0b3c42e6_2_550x499.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/2/c/2c18e894d0ec0905a885aab5d47d620c0b3c42e6_2_825x748.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/2/c/2c18e894d0ec0905a885aab5d47d620c0b3c42e6_2_1100x998.jpeg 2x" data-dominant-color="DEDFDC"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1483×1347 355 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>