POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. - Andrea Falanti; Eugenio Lomurno; Stefano Samele; Danilo Ardagna; Matteo Matteucci (IJCNN, 2022)

Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits. - Simone Sarti; Eugenio Lomurno; Andrea Falanti; Matteo Matteucci (IJCNN, 2023)

POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification. - Andrea Falanti; Eugenio Lomurno; Danilo Ardagna; Matteo Matteucci (Appl. Soft Comput., 2023)