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Gitta Kutyniok

KU

Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization

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Aug 12, 2024
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Generalization Bounds for Message Passing Networks on Mixture of Graphons

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Apr 04, 2024
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Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning

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Mar 20, 2024
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Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations

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Feb 11, 2024
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Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement

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Jan 18, 2024
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Learning Interpretable Queries for Explainable Image Classification with Information Pursuit

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Dec 16, 2023
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SuperHF: Supervised Iterative Learning from Human Feedback

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Oct 25, 2023
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Learning-based adaption of robotic friction models

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Oct 25, 2023
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The First Pathloss Radio Map Prediction Challenge

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Oct 11, 2023
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ParFam -- Symbolic Regression Based on Continuous Global Optimization

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Oct 10, 2023
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