<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://proceedings.mlr.press/v325/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v325/" rel="alternate" type="text/html" /><updated>2026-06-30T09:22:45+00:00</updated><id>https://proceedings.mlr.press/v325/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the Geometry, Topology, and Machine Learning Workshop
  Held in Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany on 10-14 November 2025

Published as Volume 325 by the Proceedings of Machine Learning Research on 29 June 2026.

Volume Edited by:
  Michael Bleher
  Freya Jensen
  Levin Maier
  Diaaeldin Taha
  Anna Wienhard

Series Editors:
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Preface of Geometry, Topology, and Machine Learning 2025</title><link href="https://proceedings.mlr.press/v325/bleher26a.html" rel="alternate" type="text/html" title="Preface of Geometry, Topology, and Machine Learning 2025" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/bleher26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/bleher26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Michael&quot;, &quot;family&quot;=&gt;&quot;Bleher&quot;}, {&quot;given&quot;=&gt;&quot;Freya&quot;, &quot;family&quot;=&gt;&quot;Jensen&quot;}, {&quot;given&quot;=&gt;&quot;Levin&quot;, &quot;family&quot;=&gt;&quot;Maier&quot;}, {&quot;given&quot;=&gt;&quot;Diaaeldin&quot;, &quot;family&quot;=&gt;&quot;Taha&quot;}, {&quot;given&quot;=&gt;&quot;Anna&quot;, &quot;family&quot;=&gt;&quot;Wienhard&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Understanding Learning Invariance in Deep Linear Networks</title><link href="https://proceedings.mlr.press/v325/duan26a.html" rel="alternate" type="text/html" title="Understanding Learning Invariance in Deep Linear Networks" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/duan26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/duan26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Hao&quot;, &quot;family&quot;=&gt;&quot;Duan&quot;}, {&quot;given&quot;=&gt;&quot;Guido&quot;, &quot;family&quot;=&gt;&quot;Montúfar&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Zigzag Persistence of Large Language Models Representations</title><link href="https://proceedings.mlr.press/v325/gardinazzi26a.html" rel="alternate" type="text/html" title="Zigzag Persistence of Large Language Models Representations" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/gardinazzi26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/gardinazzi26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Yuri&quot;, &quot;family&quot;=&gt;&quot;Gardinazzi&quot;}, {&quot;given&quot;=&gt;&quot;Karthik&quot;, &quot;family&quot;=&gt;&quot;Viswanathan&quot;}, {&quot;given&quot;=&gt;&quot;Giada&quot;, &quot;family&quot;=&gt;&quot;Panerai&quot;}, {&quot;given&quot;=&gt;&quot;Alessio&quot;, &quot;family&quot;=&gt;&quot;Ansuini&quot;}, {&quot;given&quot;=&gt;&quot;Alberto&quot;, &quot;family&quot;=&gt;&quot;Cazzaniga&quot;}, {&quot;given&quot;=&gt;&quot;Matteo&quot;, &quot;family&quot;=&gt;&quot;Biagetti&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Zigzag Persistence of Neural Responses to Time-Varying Stimuli</title><link href="https://proceedings.mlr.press/v325/gardinazzi26b.html" rel="alternate" type="text/html" title="Zigzag Persistence of Neural Responses to Time-Varying Stimuli" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/gardinazzi26b</id><content type="html" xml:base="https://proceedings.mlr.press/v325/gardinazzi26b.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Yuri&quot;, &quot;family&quot;=&gt;&quot;Gardinazzi&quot;}, {&quot;given&quot;=&gt;&quot;Alessio&quot;, &quot;family&quot;=&gt;&quot;Ansuini&quot;}, {&quot;given&quot;=&gt;&quot;Eugenio&quot;, &quot;family&quot;=&gt;&quot;Piasini&quot;}, {&quot;given&quot;=&gt;&quot;Fabio&quot;, &quot;family&quot;=&gt;&quot;Anselmi&quot;}, {&quot;given&quot;=&gt;&quot;Matteo&quot;, &quot;family&quot;=&gt;&quot;Biagetti&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">On a Geometry of Interbrain Networks</title><link href="https://proceedings.mlr.press/v325/hinrichs26a.html" rel="alternate" type="text/html" title="On a Geometry of Interbrain Networks" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/hinrichs26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/hinrichs26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Nicolás&quot;, &quot;family&quot;=&gt;&quot;Hinrichs&quot;}, {&quot;given&quot;=&gt;&quot;Noah&quot;, &quot;family&quot;=&gt;&quot;Guzmán&quot;}, {&quot;given&quot;=&gt;&quot;Melanie&quot;, &quot;family&quot;=&gt;&quot;Weber&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?</title><link href="https://proceedings.mlr.press/v325/jacobs26a.html" rel="alternate" type="text/html" title="Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/jacobs26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/jacobs26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Tom&quot;, &quot;family&quot;=&gt;&quot;Jacobs&quot;}, {&quot;given&quot;=&gt;&quot;Chao&quot;, &quot;family&quot;=&gt;&quot;Zhou&quot;}, {&quot;given&quot;=&gt;&quot;Rebekka&quot;, &quot;family&quot;=&gt;&quot;Burkholz&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">In search of topological summaries for multispecies spatial patterns</title><link href="https://proceedings.mlr.press/v325/jimenez26a.html" rel="alternate" type="text/html" title="In search of topological summaries for multispecies spatial patterns" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/jimenez26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/jimenez26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Maria Jose&quot;, &quot;family&quot;=&gt;&quot;Jimenez&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">A Comparative Empirical Study of Relative Embedding Alignment in Neural Dynamical System Forecasters</title><link href="https://proceedings.mlr.press/v325/kucukahmetler26a.html" rel="alternate" type="text/html" title="A Comparative Empirical Study of Relative Embedding Alignment in Neural Dynamical System Forecasters" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/kucukahmetler26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/kucukahmetler26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Deniz&quot;, &quot;family&quot;=&gt;&quot;Kucukahmetler&quot;}, {&quot;given&quot;=&gt;&quot;Maximilian Jean&quot;, &quot;family&quot;=&gt;&quot;Hemmann&quot;}, {&quot;given&quot;=&gt;&quot;Julian&quot;, &quot;family&quot;=&gt;&quot;Aehrenfeld&quot;, &quot;prefix&quot;=&gt;&quot;Mosig von&quot;}, {&quot;given&quot;=&gt;&quot;Maximilian&quot;, &quot;family&quot;=&gt;&quot;Amthor&quot;}, {&quot;given&quot;=&gt;&quot;Christian&quot;, &quot;family&quot;=&gt;&quot;Deubel&quot;}, {&quot;given&quot;=&gt;&quot;Nico&quot;, &quot;family&quot;=&gt;&quot;Scherf&quot;}, {&quot;given&quot;=&gt;&quot;Diaaeldin&quot;, &quot;family&quot;=&gt;&quot;Taha&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Complete and Efficient Covariants for 3D Point Configurations</title><link href="https://proceedings.mlr.press/v325/maennel26a.html" rel="alternate" type="text/html" title="Complete and Efficient Covariants for 3D Point Configurations" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/maennel26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/maennel26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Hartmut&quot;, &quot;family&quot;=&gt;&quot;Maennel&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Mathematical Foundations of Modeling ETL Process Chains</title><link href="https://proceedings.mlr.press/v325/maier26a.html" rel="alternate" type="text/html" title="Mathematical Foundations of Modeling ETL Process Chains" /><published>2026-06-29T00:00:00+00:00</published><updated>2026-06-29T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v325/maier26a</id><content type="html" xml:base="https://proceedings.mlr.press/v325/maier26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Levin&quot;, &quot;family&quot;=&gt;&quot;Maier&quot;}, {&quot;given&quot;=&gt;&quot;Lucas&quot;, &quot;family&quot;=&gt;&quot;Schulze&quot;}, {&quot;given&quot;=&gt;&quot;Robert&quot;, &quot;family&quot;=&gt;&quot;Lilow&quot;}, {&quot;given&quot;=&gt;&quot;Lukas&quot;, &quot;family&quot;=&gt;&quot;Hahn&quot;}, {&quot;given&quot;=&gt;&quot;Niko&quot;, &quot;family&quot;=&gt;&quot;Krasowski&quot;}, {&quot;given&quot;=&gt;&quot;Arnulf&quot;, &quot;family&quot;=&gt;&quot;Barth&quot;}, {&quot;given&quot;=&gt;&quot;Sebastian&quot;, &quot;family&quot;=&gt;&quot;Gaebel&quot;}, {&quot;given&quot;=&gt;&quot;Ferdi&quot;, &quot;family&quot;=&gt;&quot;Gueran&quot;}, {&quot;given&quot;=&gt;&quot;Giovanni&quot;, &quot;family&quot;=&gt;&quot;Wagner&quot;}, {&quot;given&quot;=&gt;&quot;Falk&quot;, &quot;family&quot;=&gt;&quot;Borgmann&quot;}, {&quot;given&quot;=&gt;&quot;Oleg&quot;, &quot;family&quot;=&gt;&quot;Arenz&quot;}, {&quot;given&quot;=&gt;&quot;Jan&quot;, &quot;family&quot;=&gt;&quot;Peters&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>