Marian Verhelst – författare

Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems

Embedded Deep Learning

Algorithms, Architectures and Circuits for Always-on Neural Network Processing

Hardware-Aware Probabilistic Machine Learning Models

Learning, Inference and Use Cases

Hardware-Aware Probabilistic Machine Learning Models

Learning, Inference and Use Cases

Efficient Execution of Irregular Dataflow Graphs

Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Efficient Execution of Irregular Dataflow Graphs

Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

Embedded Deep Learning

Algorithms, Architectures and Circuits for Always-on Neural Network Processing

Energy Scalable Radio Design

for Pulsed UWB Communication and Ranging