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Lars Kotthoff

How explainable are adversarially-robust CNNs?

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May 25, 2022
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Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers

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Nov 29, 2021
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Bayesian Optimization in Materials Science: A Survey

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Jul 29, 2021
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Modeling and Optimizing Laser-Induced Graphene

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Jul 29, 2021
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FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks

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Jan 18, 2020
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Transfer Learning for Performance Modeling of Deep Neural Network Systems

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Apr 04, 2019
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The Algorithm Selection Competitions 2015 and 2017

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Oct 04, 2018
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Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers

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Jul 11, 2017
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mlr Tutorial

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Sep 18, 2016
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ASlib: A Benchmark Library for Algorithm Selection

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Apr 06, 2016
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