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Steffen Limmer

Neural-ANOVA: Model Decomposition for Interpretable Machine Learning

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Aug 22, 2024
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The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond

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Nov 07, 2023
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Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy

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Dec 21, 2022
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Physics-informed neural networks for pathloss prediction

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Nov 23, 2022
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Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization

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Jan 23, 2021
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Interpretable Control by Reinforcement Learning

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Jul 20, 2020
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Optimal deep neural networks for sparse recovery via Laplace techniques

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Sep 26, 2017
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Towards optimal nonlinearities for sparse recovery using higher-order statistics

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Sep 05, 2016
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