activity
20222026
most citedAuNa: Modularly Integrated Simulation Framework for Cooperative Autonomous Navigation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.OS2026

Deductive Verification for Earliest Deadline First Scheduler Implementations

Daniel Kuhse, Junjie Shi, Jan Duy Thien Pham +4

Real-Time Operating Systems (RTOSes) rely on scheduler implementations to provide predictable task execution. For safety-critical systems, it is therefore not sufficient to reason…

cs.SE2026

Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks

Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen +2

Modern automotive software architectures comprise large sets of mixed-criticality functions executing on shared multi-core platforms with strict real-time and end-to-end timing req…

cs.DC2023

HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogeneous Multiprocessor Platforms

Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla +1

Binarized Neural Networks (BNNs) significantly reduce the computation and memory demands with binarized weights and activations compared to full-precision NNs. Executing a layer in…

cs.LG2022

FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference

Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen

In many machine learning applications, e.g., tree-based ensembles, floating point numbers are extensively utilized due to their expressiveness. Nowadays performing data analysis on…

cs.RO2022★ 1 cited

AuNa: Modularly Integrated Simulation Framework for Cooperative Autonomous Navigation

Harun Teper, Anggera Bayuwindra, Raphael Riebl +3

In the near future, the development of autonomous driving will get more complex as the vehicles will not only rely on their own sensors but also communicate with other vehicles and…