| A tinyml platform for on-device continual learning with quantized latent replays L Ravaglia, M Rusci, D Nadalini, A Capotondi, F Conti, L Benini IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 19 | 2021 |
| Memory-latency-accuracy trade-offs for continual learning on a risc-v extreme-edge node L Ravaglia, M Rusci, A Capotondi, F Conti, L Pellegrini, V Lomonaco, ... 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 7 | 2020 |
| PULP-TrainLib: Enabling on-device training for RISC-V multi-core MCUs through performance-driven Autotuning D Nadalini, M Rusci, G Tagliavini, L Ravaglia, L Benini, F Conti Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd …, 2022 | 3 | 2022 |
| Tackling time-variability in sEMG-based gesture recognition with on-device incremental learning and temporal convolutional networks A Burrello, M Zanghieri, C Sarti, L Ravaglia, S Benatti, L Benini 2021 IEEE Sensors Applications Symposium (SAS), 1-6, 2021 | 3 | 2021 |
