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<!doctype html>
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width,initial-scale=1" />
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<title>Talks — VIDAL Lab</title>
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<a class="brand" href="index.html"><span class="brand-mark"><svg viewBox="0 0 40 40" width="28" height="28" aria-hidden="true"><g fill="#011F5B" opacity="0.18"><rect x="9" y="1" width="7" height="7"/><rect x="17" y="1" width="7" height="7"/><rect x="25" y="1" width="7" height="7"/><rect x="33" y="1" width="7" height="7"/><rect x="1" y="9" width="7" height="7"/><rect x="17" y="9" width="7" height="7"/><rect x="25" y="9" width="7" height="7"/><rect x="33" y="9" width="7" height="7"/><rect x="1" y="17" width="7" height="7"/><rect x="9" y="17" width="7" height="7"/><rect x="25" y="17" width="7" height="7"/><rect x="33" y="17" width="7" height="7"/><rect x="1" y="25" width="7" height="7"/><rect x="9" y="25" width="7" height="7"/><rect x="17" y="25" width="7" height="7"/><rect x="33" y="25" width="7" height="7"/><rect x="1" y="33" width="7" height="7"/><rect x="9" y="33" width="7" height="7"/><rect x="17" y="33" width="7" height="7"/><rect x="25" y="33" width="7" height="7"/></g><g fill="#990000"><rect x="1" y="1" width="7" height="7"/><rect x="9" y="9" width="7" height="7"/><rect x="17" y="17" width="7" height="7"/><rect x="25" y="25" width="7" height="7"/><rect x="33" y="33" width="7" height="7"/></g></svg></span><span class="brand-word"><em>Vidal</em>Lab<sup>↗</sup></span></a>
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<a href="index.html" data-key="home"><span>01</span> Home</a>
<a href="people.html" data-key="people"><span>02</span> People</a>
<a href="research.html" data-key="research"><span>03</span> Research</a>
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<a href="teaching.html" data-key="teaching"><span>a</span> Teaching</a>
<a href="talks.html" data-key="talks" class="active"><span>b</span> Talks</a>
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<section class="page-hero">
<div class="page-hero-meta">
<span><span class="tick"></span> § 05 — Talks</span>
<span class="mono">Invited talks & keynotes</span>
</div>
<h1 class="page-display">
Sharing the<br/>
<em>foundations</em><br/>
of modern AI.
</h1>
<p class="page-lede">
Selected invited talks, keynotes, and seminars given by Prof. René Vidal at conferences, workshops, and academic departments around the world.
</p>
</section>
<section>
<header class="section-head">
<div class="section-num">§ 05·1</div>
<h2>Recent <em>conference talks</em></h2>
<p class="section-note">Selected invited appearances 2024–2025.</p>
</header>
<div class="timeline" id="recent-timeline"></div>
</section>
<section style="margin-top:80px;">
<header class="section-head">
<div class="section-num">§ 05·2</div>
<h2>Distinguished lectures & <em>keynotes</em></h2>
<p class="section-note">Plenary lectures, named lectures, and keynote addresses.</p>
</header>
<div class="timeline" id="keynote-timeline"></div>
</section>
<section style="margin-top:80px;">
<header class="section-head">
<div class="section-num">§ 05·3</div>
<h2>Workshops, tutorials, & <em>summer schools</em></h2>
<p class="section-note">Invited talks at workshops, tutorials, and summer schools.</p>
</header>
<div class="timeline" id="workshop-timeline"></div>
</section>
<section class="cta" style="margin-top:120px;">
<div class="cta-inner">
<h2 class="cta-title">Inviting Prof. Vidal<br/>to <em>speak</em>?</h2>
<p class="cta-note">For invited talks, keynotes, panels, or seminars — please reach out via email with at least 8 weeks' notice.</p>
<div class="cta-actions">
<a class="btn btn-primary btn-lg" href="mailto:vidalr@seas.upenn.edu">Email invitation <svg viewBox="0 0 24 24" width="18" height="18" fill="none" stroke="currentColor" stroke-width="1.6"><path d="M5 12h14M13 6l6 6-6 6"/></svg></a>
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</section>
<footer class="foot">
<div class="foot-mega" aria-hidden="true">VIDAL</div>
<div class="foot-grid">
<div class="foot-col">
<div class="foot-h">Vidal Lab</div>
<p>Vision, Dynamics & Learning<br/>University of Pennsylvania</p>
</div>
<div class="foot-col">
<div class="foot-h">Sitemap</div>
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="people.html">People</a></li>
<li><a href="research.html">Research</a></li>
<li><a href="teaching.html">Teaching</a></li>
<li><a href="talks.html">Talks</a></li>
<li><a href="tutorials.html">Tutorials</a></li>
<li><a href="data-code.html">Data & Code</a></li>
</ul>
</div>
<div class="foot-col">
<div class="foot-h">Contact</div>
<p>Prof. René Vidal<br/><a href="mailto:vidalr@seas.upenn.edu">vidalr@seas.upenn.edu</a></p>
</div>
<div class="foot-col">
<div class="foot-h">Join the Lab</div>
<p>We seek students at the boundary of mathematical foundations and impactful AI. PhD applications go through Penn ESE; postdoc and visitor inquiries direct to Prof. Vidal.</p>
<p><a href="mailto:vidalr@seas.upenn.edu">Email Prof. Vidal →</a></p>
<p class="mono dim">© 2026 Vidal Lab</p>
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{ when:"Sep 2025", venue:"CPAL Distinguished Lecture (online)", title:"Learning Dynamics in the Feature-Learning Regime", kind:"distinguished" },
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{ when:"Apr 2025", venue:"ICLR 2025 Workshop, Singapore", title:"Invited Talk, 2nd Workshop on Foundation Models in the Wild", kind:"invited" },
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{ when:"2016", venue:"Distinguished Lecture, Boston University Data Science Institute", title:"Global Optimality in Matrix Factorization and Deep Learning", kind:"distinguished" },
{ when:"2016", venue:"Keynote, Workshop on Optimization for Machine Learning, NIPS", title:"Global Optimality in Matrix Factorization and Deep Learning", kind:"keynote" },
{ when:"2015", venue:"Plenary Lecture, SIAM Conference on Applied Algebraic Geometry", title:"Global Optimality in Neural Network Training", kind:"plenary" },
{ when:"2012", venue:"J.K. Aggarwal Prize Plenary Lecture, ICPR", title:"Subspace Clustering", kind:"plenary" },
{ when:"2011", venue:"Keynote, Workshop on Structured Sparsity, ICML", title:"Sparse Subspace Clustering", kind:"keynote" },
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{ when:"2018", venue:"Tutorial, CVPR", title:"Global Optimality in Deep Learning", kind:"tutorial" },
{ when:"2016", venue:"Tutorial, CVPR", title:"Subspace Clustering: Algorithms, Theory and Applications", kind:"tutorial" },
{ when:"2015", venue:"Johns Hopkins University", title:"Analysis and Interpretation of Biomedical Data", kind:"invited" },
{ when:"2014", venue:"Summer School on Computer Vision, ENS Cachan, France", title:"An Introduction to Generalized Principal Component Analysis", kind:"summer school" },
{ when:"2013", venue:"Workshop on Sparsity and Computation, Caltech", title:"Sparse Subspace Clustering: Algorithm, Theory, and Applications", kind:"workshop" },
{ when:"2011", venue:"Carnegie Mellon University", title:"Modeling and Clustering of Dynamic Scenes", kind:"colloquium" },
{ when:"2009", venue:"University of Michigan, Ann Arbor", title:"Generalized Principal Component Analysis", kind:"colloquium" },
{ when:"2006", venue:"Tutorial, ECCV Workshop on Dynamical Vision", title:"Segmentation of Dynamic Scenes from the Multibody Fundamental Matrix", kind:"tutorial" },
{ when:"2005", venue:"Summer School on Image Processing, Duke University", title:"Algebraic Geometric Methods in Computer Vision", kind:"summer school" },
{ when:"2004", venue:"Workshop on Hybrid Systems, European Control Conference", title:"Identification of Hybrid Systems: A Tutorial", kind:"tutorial" },
{ when:"2003", venue:"CDC, Maui, HI", title:"Observability and Identifiability of Jump Linear Systems", kind:"invited" },
{ when:"2001", venue:"UC San Diego, La Jolla, CA", title:"Two-View Multibody Structure from Motion", kind:"colloquium" }
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