<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publications | Michael Aerni</title><link>https://www.michaelaerni.com/publication/</link><atom:link href="https://www.michaelaerni.com/publication/index.xml" rel="self" type="application/rss+xml"/><description>Publications</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><image><url>https://www.michaelaerni.com/media/icon_hua9c6b47fafe860101b75091fc8397190_346273_512x512_fill_lanczos_center_3.png</url><title>Publications</title><link>https://www.michaelaerni.com/publication/</link></image><item><title>Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?</title><link>https://www.michaelaerni.com/publication/modal-aphasia/</link><pubDate>Wed, 22 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/modal-aphasia/</guid><description/></item><item><title>Measuring Non-Adversarial Reproduction of Training Data in Large Language Models</title><link>https://www.michaelaerni.com/publication/measuring-non-adversarial-reproduction-of-training-data-in-large-language-models/</link><pubDate>Tue, 11 Feb 2025 00:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/measuring-non-adversarial-reproduction-of-training-data-in-large-language-models/</guid><description/></item><item><title>Evaluations of Machine Learning Privacy Defenses are Misleading</title><link>https://www.michaelaerni.com/publication/evaluations-of-machine-learning-privacy-defenses-are-misleading/</link><pubDate>Mon, 14 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/evaluations-of-machine-learning-privacy-defenses-are-misleading/</guid><description/></item><item><title>Strong inductive biases provably prevent harmless interpolation</title><link>https://www.michaelaerni.com/publication/strong-inductive-biases-provably-prevent-harmless-interpolation/</link><pubDate>Wed, 21 Sep 2022 00:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/strong-inductive-biases-provably-prevent-harmless-interpolation/</guid><description/></item><item><title>Interpolation can hurt robust generalization even when there is no noise</title><link>https://www.michaelaerni.com/publication/interpolation-can-hurt-robust-generalization-even-when-there-is-no-noise/</link><pubDate>Mon, 09 Aug 2021 00:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/interpolation-can-hurt-robust-generalization-even-when-there-is-no-noise/</guid><description>&lt;p>We presented two related workshop papers:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="https://www.michaelaerni.com/publication/surprising-benefits-of-ridge-regularization-for-noiseless-regression/">Surprising benefits of ridge regularization for noiseless regression&lt;/a> in ICML 2021 Workshop on Overparameterization: Pitfalls and Opportunities&lt;/li>
&lt;li>&lt;a href="https://www.michaelaerni.com/publication/maximizing-the-robust-margin-provably-overfits-on-noiseless-data/">Maximizing the robust margin provably overfits on noiseless data&lt;/a> in ICML 2021 Workshop on Adversarial Machine Learning&lt;/li>
&lt;/ul></description></item><item><title>Surprising benefits of ridge regularization for noiseless regression</title><link>https://www.michaelaerni.com/publication/surprising-benefits-of-ridge-regularization-for-noiseless-regression/</link><pubDate>Sat, 24 Jul 2021 16:00:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/surprising-benefits-of-ridge-regularization-for-noiseless-regression/</guid><description/></item><item><title>Maximizing the robust margin provably overfits on noiseless data</title><link>https://www.michaelaerni.com/publication/maximizing-the-robust-margin-provably-overfits-on-noiseless-data/</link><pubDate>Sat, 24 Jul 2021 11:45:00 +0000</pubDate><guid>https://www.michaelaerni.com/publication/maximizing-the-robust-margin-provably-overfits-on-noiseless-data/</guid><description/></item></channel></rss>