Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. - Leonardo Ravaglia; Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Lorenzo Pellegrini; Vincenzo Lomonaco; Davide Maltoni; Luca Benini (SiPS, 2020)

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. - Leonardo Ravaglia; Manuele Rusci; Davide Nadalini; Alessandro Capotondi; Francesco Conti 001; Luca Benini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. - Davide Nadalini; Manuele Rusci; Giuseppe Tagliavini; Leonardo Ravaglia; Luca Benini; Francesco Conti 001 (SAMOS, 2022)

Increasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications. - Kaili Wang; Leonardo Ravaglia; Roberto Longo; Lore Goetschalckx; David Van Hamme; Julie Moeyersoms; Ben Stoffelen; Tom De Schepper (IEEE SENSORS, 2024)