The ADA research group is an international collaboration of researchers, mainly based at Leiden University, the Netherlands and the RWTH Aachen, Germany.
ADA research
The Automated Design of Algorithms research group
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auto-verify
auto-verify PublicAuto-Verify is a framework for neural network verification, that allows you to install, configure and Neural Network verifiers in parallel portfolios
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- VERONA Public
A lightweight Python package for setting up adversarial robustness experiments and to compute robustness distributions.
ADA-research/VERONA’s past year of commit activity - auto-verify Public
Auto-Verify is a framework for neural network verification, that allows you to install, configure and Neural Network verifiers in parallel portfolios
ADA-research/auto-verify’s past year of commit activity - Sparkle Public
Sparkle is a Programming by Optimisation (PbO)-based problem-solving platform designed to enable the widespread and effective use of PbO techniques for improving the state-of-the-art in solving a broad range of prominent AI problems, including SAT and AI Planning.
ADA-research/Sparkle’s past year of commit activity - AutoMergeNet Public
AutoMergeNet: a neural architecture search approach for automatic plume detection in TROPOMI images
ADA-research/AutoMergeNet’s past year of commit activity - maclean-missing-pixels Public
Mitigating representation bias caused by missing pixels in methane plume detection. This page accompanies the MACLEAN publication, code hosted at https://github.com/JuliaWasala/maclean-fair-ml-for-missing-pixels.
ADA-research/maclean-missing-pixels’s past year of commit activity - TSRC Public
Official Implementation of Time Series Representations Classroom (TSRC): A Teacher-Student-based Framework for Interpretability-enhanced Unsupervised Time Series Representation Learning Paper
ADA-research/TSRC’s past year of commit activity
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