HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. - Josse Van Delm; Maarten Vandersteegen; Alessio Burrello; Giuseppe Maria Sarda; Francesco Conti 001; Daniele Jahier Pagliari; Luca Benini; Marian Verhelst (DAC, 2023)

MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. - Mohamed Amine Hamdi; Francesco Daghero; Giuseppe Maria Sarda; Josse Van Delm; Arne Symons; Luca Benini; Marian Verhelst; Daniele Jahier Pagliari; Alessio Burrello (CoRR, 2024)

OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling. - Xiaoling Yi; Ryan Antonio; Joren Dumoulin; Jiacong Sun; Josse Van Delm; Guilherme Paim; Marian Verhelst (CoRR, 2024)

Artifact of "A Multi-Level Compiler Backend for Accelerated Micro-Kernels Targetting RISC-V ISA Extensions". - Alexandre Lopoukhine; Federico Ficarelli; Christos Vasiladiotis; Anton Lydike; Josse Van Delm; Alban Dutilleul; Luca Benini; Marian Verhelst; Tobias Grosser (Zenodo, 2024)

OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling. - Xiaoling Yi; Ryan Antonio; Joren Dumoulin; Jiacong Sun; Josse Van Delm; Guilherme Pereira Paim; Marian Verhelst (ASP-DAC, 2025)

A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions. - Alexandre Lopoukhine; Federico Ficarelli; Christos Vasiladiotis; Anton Lydike; Josse Van Delm; Alban Dutilleul; Luca Benini; Marian Verhelst; Tobias Grosser (CGO, 2025)

An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems. - Ryan Antonio; Joren Dumoulin; Xiaoling Yi; Josse Van Delm; Yunhao Deng; Guilherme Paim; Marian Verhelst (CoRR, 2025)