Exploring the unknown through successive generations of low power and low resource versatile agents. - Martin Andraud; Gönenç Berkol; Jaro De Roose; Santosh Gannavarapu; Haoming Xin; Eugenio Cantatore; Pieter J. A. Harpe; Marian Verhelst; Peter G. M. Baltus (DATE, 2017)

Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. - Ahmed Hallawa; Jaro De Roose; Martin Andraud; Marian Verhelst; Gerd Ascheid (GECCO (Companion), 2017)

Flexible and Self-Adaptive Sense-and-Compress for Sub-MicroWatt Always-on Sensory Recording. - Jaro De Roose; Haoming Xin; Martin Andraud; Pieter J. A. Harpe; Marian Verhelst (ESSCIRC, 2018)

Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. - Martin Andraud; Ahmed Hallawa; Jaro De Roose; Eugenio Cantatore; Gerd Ascheid; Marian Verhelst (GECCO (Companion), 2018)

Exploration and Design of Low-Energy Logic Cells for 1 kHz Always-on Systems. - Maxime Feyerick; Jaro De Roose; Marian Verhelst (DATE, 2019)

TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge. - Vikram Jain; Juan Sebastian Piedrahita Giraldo; Jaro De Roose; Bert Boons; Linyan Mei; Marian Verhelst (VLSI Technology and Circuits, 2022)

TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge. - Vikram Jain; Juan Sebastian Piedrahita Giraldo; Jaro De Roose; Linyan Mei; Bert Boons; Marian Verhelst (IEEE J. Solid State Circuits, 2023)