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cs.LG2025
ContinualFlow: Learning and Unlearning with Neural Flow Matching
Lorenzo Simone, Davide Bacciu, Shuangge Ma
We introduce ContinualFlow, a principled framework for targeted unlearning in generative models via Flow Matching. Our method leverages an energy-based reweighting loss to softly s…
cs.LG2024
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions
Lorenzo Simone, Luca Miglior, Vincenzo Gervasi +4
This research introduces an innovative method for the early screening of cardiorespiratory diseases based on an acquisition protocol, which leverages commodity smartphone's Inertia…