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07/20/2023
Investigating minimizing the training set fill distance in machine learning regression
Many machine learning regression methods leverage large datasets for tra...
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06/15/2023
Graph Extraction for Assisting Crash Simulation Data Analysis
In this work, we establish a method for abstracting information from Com...
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06/15/2023
On the Interplay of Subset Selection and Informed Graph Neural Networks
Machine learning techniques paired with the availability of massive data...
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05/31/2023
Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization
Optimizing manufacturing process parameters is typically a multi-objecti...
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12/12/2022
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
The underlying dynamics and patterns of 3D surface meshes deforming over...
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09/29/2022
Graph Modeling in Computer Assisted Automotive Development
We consider graph modeling for a knowledge graph for vehicle development...
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06/03/2022
Canonical convolutional neural networks
We introduce canonical weight normalization for convolutional neural net...
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10/18/2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes
The analysis of deforming 3D surface meshes is accelerated by autoencode...
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08/31/2020
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders
For sequences of complex 3D shapes in time we present a general approach...
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03/10/2020
A Compact Spectral Descriptor for Shape Deformations
Modern product design in the engineering domain is increasingly driven b...
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05/21/2019
Explainable Machine Learning for Scientific Insights and Discoveries
Machine learning methods have been remarkably successful for a wide rang...
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03/29/2019
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning
Despite the great successes of machine learning, it can have its limits ...
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03/18/2019
A Geometrical Method for Low-Dimensional Representations of Simulations
We propose a new data analysis approach for the efficient post-processin...
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03/05/2018
