2 citations · 4 across the 6 of their papers we have counts for
6 papers
FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing
Mika Markus Müller, Konstantin Lübeck, Alexander Louis-Ferdinand Jung +2
Artificial Intelligence (AI) algorithms, such as Deep Neural Networks (DNNs), have become an important tool for a wide range of applications, from computer vision to natural langua…
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
Christian Reichenbächer, Philipp Rank, Jochen Hipp +1
This paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems.…
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Pascal Zwick, Kevin Roesch, Marvin Klemp +1
Anonymization plays a key role in protecting sensible information of individuals in real world datasets. Self-driving cars for example need high resolution facial features to track…
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators
Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich +8
Implementing Deep Neural Networks (DNNs) on resource-constrained edge devices is a challenging task that requires tailored hardware accelerator architectures and a clear understand…
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles
Christian Reichenbächer, Jochen Hipp, Oliver Bringmann
Ensuring the safety of road vehicles at an acceptable level requires the absence of any unreasonable risk arising from all potential hazards linked to the intended au-tomated drivi…
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck +2
Artificial Intelligence (AI) has witnessed remarkable growth, particularly through the proliferation of Deep Neural Networks (DNNs). These powerful models drive technological advan…