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02/23/2023
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs
Calibrating agent-based models (ABMs) in economics and finance typically...
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07/20/2022
Intrinsic dimension estimation for discrete metrics
Real world-datasets characterized by discrete features are ubiquitous: f...
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06/20/2022
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs
In industrial applications it is common to scan objects on a moving conv...
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05/04/2022
DADApy: Distance-based Analysis of DAta-manifolds in Python
DADApy is a python software package for analysing and characterising hig...
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06/07/2021
Representation mitosis in wide neural networks
Deep neural networks (DNNs) defy the classical bias-variance trade-off: ...
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04/30/2021
Ranking the information content of distance measures
Real-world data typically contain a large number of features that are of...
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07/07/2020
Hierarchical nucleation in deep neural networks
Deep convolutional networks (DCNs) learn meaningful representations wher...
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04/18/2019