<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Supervised Learning | Patrick Koller</title><link>https://patch0816.github.io/tag/self-supervised-learning/</link><atom:link href="https://patch0816.github.io/tag/self-supervised-learning/index.xml" rel="self" type="application/rss+xml"/><description>Self-Supervised Learning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 06 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://patch0816.github.io/media/icon_hu3661d5716fb1fb87a460a392592f4033_20786_512x512_fill_lanczos_center_3.png</url><title>Self-Supervised Learning</title><link>https://patch0816.github.io/tag/self-supervised-learning/</link></image><item><title>Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks</title><link>https://patch0816.github.io/publication/2026-learning-the-stellar-structure-equations-pinn/</link><pubDate>Mon, 06 Apr 2026 00:00:00 +0000</pubDate><guid>https://patch0816.github.io/publication/2026-learning-the-stellar-structure-equations-pinn/</guid><description>&lt;p>&lt;a href="https://3dim.optics.arizona.edu/author/manuel-ballester/" target="_blank" rel="noopener">Manuel Ballester&lt;/a>, &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Santiago Lopez-Tapia&lt;/a>, &lt;a href="https://sgossage.github.io/" target="_blank" rel="noopener">Seth Gossage&lt;/a>, &lt;strong>Patrick Koller&lt;/strong>, &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Philipp M Srivastava&lt;/a>, &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Ugur Demir&lt;/a>, &lt;a href="https://yongseokjo.com/" target="_blank" rel="noopener">Yongseok Jo&lt;/a>, &lt;a href="https://scholar.google.com/citations?user=k3CRBwsAAAAJ&amp;amp;hl=es" target="_blank" rel="noopener">Almudena P Marquez&lt;/a>, &lt;a href="https://www.ost.ch/en/person/christoph-wuersch-8300" target="_blank" rel="noopener">Christoph Würsch&lt;/a>, &lt;a href="https://www.csccm.in/our-team" target="_blank" rel="noopener">Souvik Chakraborty&lt;/a>, &lt;a href="https://physics.northwestern.edu/people/faculty/core-faculty/vicky-kalogera.html" target="_blank" rel="noopener">Vicky Kalogera&lt;/a>, and &lt;a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/katsaggelos-aggelos.html" target="_blank" rel="noopener">Aggelos K. Katsaggelos&lt;/a>&lt;/p>
&lt;h3 id="abstract">Abstract&lt;/h3>
&lt;p>This research introduces a mesh-free approach to solving the fundamental equations of stellar structure using Physics-Informed Neural Networks (PINNs). By enforcing hydrostatic and thermal equilibrium constraints directly within the loss function, we eliminate the need for traditional grid-based discretization used in solvers like &lt;a href="https://docs.mesastar.org" target="_blank" rel="noopener">MESA&lt;/a>.&lt;/p>
&lt;p>Our framework incorporates auxiliary neural surrogates for microphysics (opacities and equation of state), allowing the model to learn continuous, differentiable radial profiles across a wide range of stellar masses.&lt;/p>
&lt;h3 id="bibtex-citation">BibTeX Citation&lt;/h3>
&lt;div class="highlight">&lt;pre tabindex="0" class="chroma">&lt;code class="language-bibtex" data-lang="bibtex">&lt;span class="line">&lt;span class="cl">&lt;span class="nc">@misc&lt;/span>&lt;span class="p">{&lt;/span>&lt;span class="nl">ballester2026learningstellarstructure&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">title&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">author&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Manuel Ballester and Santiago Lopez-Tapia and Seth Gossage and Patrick Koller and Philipp M. Srivastava and Ugur Demir and Yongseok Jo and Almudena P. Marquez and Christoph Wuersch and Souvik Chakraborty and Vicky Kalogera and Aggelos Katsaggelos}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">year&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{2026}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">eprint&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{2604.06255}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">archivePrefix&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{arXiv}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">primaryClass&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{astro-ph.SR}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">url&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{https://arxiv.org/abs/2604.06255}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="p">}&lt;/span>
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div></description></item><item><title>Size-Informed Representations for Unsupervised Image Clustering</title><link>https://patch0816.github.io/publication/2025-size-informed-representations-for-unsupervised-image-clustering/</link><pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate><guid>https://patch0816.github.io/publication/2025-size-informed-representations-for-unsupervised-image-clustering/</guid><description>&lt;!--
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&lt;p>&lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Philipp Rajah Moura Srivastava&lt;/a>, &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Charilaos Apostolidis&lt;/a>, &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Saumya Pailwan&lt;/a>, &lt;strong>Patrick Koller&lt;/strong>, and &lt;a href="https://sites.northwestern.edu/ivpl/people/" target="_blank" rel="noopener">Leandros Stefanopoulos&lt;/a>&lt;/p>
&lt;p>Accepted and presented at the &lt;a href="https://cmsworkshops.com/ICIP2025/view_paper.php?PaperNum=3089" target="_blank" rel="noopener">IEEE ICIP 2025 Satellite Workshop&lt;/a>: &amp;ldquo;Generative AI for World Simulations and Communications &amp;amp; Celebrating 40 Years of Excellence in Education: Honoring Prof. Aggelos Katsaggelos,&amp;rdquo; Anchorage, Alaska, USA, Sept 14, 2025.&lt;/p>
&lt;h3 id="bibtex-citation">BibTeX Citation&lt;/h3>
&lt;div class="highlight">&lt;pre tabindex="0" class="chroma">&lt;code class="language-bibtex" data-lang="bibtex">&lt;span class="line">&lt;span class="cl">&lt;span class="nc">@INPROCEEDINGS&lt;/span>&lt;span class="p">{&lt;/span>&lt;span class="nl">Srivastava_2025_SizeInformedClustering&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">author&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Srivastava, Philipp Rajah Moura and Apostolidis, Charilaos and Pailwan, Saumya and Koller, Patrick and Stefanopoulos, Leandros}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">booktitle&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{2025 IEEE International Conference on Image Processing Workshops (ICIPW)}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">title&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Size-Informed Representations for Unsupervised Image Clustering}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">year&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{2025}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">volume&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">number&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">pages&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{743-748}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">keywords&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{Visualization;Image coding;Conferences;Semantics;Pipelines;Data models;Image preprocessing;Standards;Unsupervised Image Clustering;SelfSupervised Learning;Size Encoding;Image Preprocessing;Deep Embedded Clustering}&lt;/span>&lt;span class="p">,&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl"> &lt;span class="na">doi&lt;/span>&lt;span class="p">=&lt;/span>&lt;span class="s">{10.1109/ICIPW68931.2025.11386144}&lt;/span>&lt;span class="p">}&lt;/span>
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div></description></item></channel></rss>