Prof. Dr.-Ing. Jürgen Teich

Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods (2023) Sabih M, Yayla M, Hannig F, Teich J, Chen JJ Conference contribution, Conference Contribution RAVEN: Reinforcement Learning for Generating Verifiable Run-time Requirement Enforcers for MPSoCs (2023) Esper K, Spieck J, Sixdenier PL, Wildermann S, Teich J Conference contribution, Original article Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression (2023) Deutel M, Woller P, Mutschler C, Teich J Conference contribution, Conference Contribution An FPGA Avro Parser Generator for Accelerated Data Stream Processing (2023) Hahn T, Schüll D, Wildermann S, Teich J Conference contribution, Conference Contribution Throughput and Memory Optimization for Parallel Implementations of Dataflow Networks using Multi-Reader Buffers (2023) Letras M, Falk J, Teich J Conference contribution, Original article Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications (2023) Henkel J, Sidduh L, Bauer L, Teich J, Wildermann S, Tahoori MB, Mayahinia M, et al. Conference contribution, Original article Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers (2023) Spieck J, Sixdenier PL, Esper K, Wildermann S, Teich J Conference contribution, Conference Contribution Special Issue on Approximate Computing: Challenges, Methodologies, Algorithms, and Architectures for Dependable and Secure Systems (2023) Bosio A, Barbareschi M, Savino A, Han J, Teich J Journal article Seque: Lean and Energy-aware Data Management for IoT Gateways (2023) Sixdenier PL, Wildermann S, Ottens M, Teich J Conference contribution, Original article A Learning-Based Methodology for Scenario-Aware Mapping of Soft Real-Time Applications onto Heterogeneous MPSoCs (2023) Spieck J, Wildermann S, Teich J Journal article