Matthias Jobst

According to our database, Matthias Jobst authored at least 8 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Designing a Power and Speed Adaptive 60 GHz Receiver in 22 nm FD-SOI CMOS for Tactile Internet Applications.

Helmuth Morath, Xin An, Matthias Jobst, Mengqi Cui, Jens Wagner, Christian Mayr, Frank Ellinger

IEEE Access, 2024

2023

Neuromorphic Intermediate Representation.

Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik

Dataset, July, 2023

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing.

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik

CoRR, 2023

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM.

Chen Liu, Matthias Jobst, Liyuan Guo, Xinyue Shi, Johannes Partzsch, Christian Mayr

Proceedings of the 2023 Workshop on Compilers, Deployment, and Tooling for Edge AI, 2023

A Low-Power Hardware Accelerator of MFCC Extraction for Keyword Spotting in 22nm FDSOI.

Liyuan Guo, Matthias Jobst, Johannes Partzsch, Stefan Scholze, Andreas Dixius, Matthias Lohrmann, Seyed Mohammad Ali Zeinolabedin, Christian Mayr

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data.

Matthias Jobst, Johannes Partzsch, Chen Liu, Liyuan Guo, Dennis Walter, Saif-Ur Rehman, Stefan Scholze, Sebastian Höppner, Christian Mayr

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2020

Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping.

Matthias Jobst, Chen Liu, Johannes Partzsch, Yexin Yan, David Kappel, Hector A. Gonzalez, Yue Ji, Bernhard Vogginger, Christian Mayr

Proceedings of the 6th International Conference on Event-Based Control, 2020

1993

Training of a time-delay neural network for speech recognition by solving stiff differential equations.

Veronika Bappert, Matthias Jobst

Proceedings of the Third European Conference on Speech Communication and Technology, 1993