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    <title>&#34;differentiable simulation&#34; | Laurent Jacques</title>
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    <description>&#34;differentiable simulation&#34;</description>
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      <title>&#34;differentiable simulation&#34;</title>
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      <title>Fast, differentiable, gpu-accelerated ray tracing for multiple diffraction and reflection paths</title>
      <link>https://laurentjacques.gitlab.io/publication/fast-differentiable-gpu-accelerated-ray-tracing-for-multiple-diffraction-and-reflection-paths/</link>
      <pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;: Ray tracing is a widely used method to model radio wave propagation in complex environments. However, traditional ray tracing tools are often not differentiable, preventing their use in gradient-based optimization and machine learning pipelines. We present a fast, differentiable, GPU-accelerated ray tracing framework supporting multiple diffraction and reflection paths, enabling efficient optimization of radio network parameters. TODO: abstract exact à coller depuis arXiv:2510.16172.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Note&lt;/strong&gt;: Best Paper Award EuCAP 2026.&lt;/p&gt;
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