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05/25/2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications
For automotive applications, the Graph Attention Network (GAT) is a prom...
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04/21/2023
Gradient Derivation for Learnable Parameters in Graph Attention Networks
This work provides a comprehensive derivation of the parameter gradients...
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02/28/2022
SFIP: Coarse-Grained Syscall-Flow-Integrity Protection in Modern Systems
Growing code bases of modern applications have led to a steady increase ...
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05/27/2021
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Parametric and non-parametric classifiers often have to deal with real-w...
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05/27/2020
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding
Localizing objects in 3D space and understanding their associated 3D pro...
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04/14/2020
A2D2: Audi Autonomous Driving Dataset
Research in machine learning, mobile robotics, and autonomous driving is...
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10/23/2014
