Quantum annealing learning search implementations. - Andrea Bonomi; Thomas De Min; Enrico Zardini; Enrico Blanzieri; Valter Cavecchia; Davide Pastorello (Quantum Inf. Comput., 2022)

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. - Thomas De Min; Massimiliano Mancini; Karteek Alahari; Xavier Alameda-Pineda; Elisa Ricci 001 (ICCV (Workshops), 2023)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (CoLLAs, 2024)

Conditioned Prompt-Optimization for Continual Deepfake Detection. - Francesco Laiti; Benedetta Liberatori; Thomas De Min; Elisa Ricci 001 (ICPR (9), 2024)

One-Shot Unlearning of Personal Identities. - Thomas De Min; Subhankar Roy; Massimiliano Mancini; Stéphane Lathuilière; Elisa Ricci 001 (CoRR, 2024)

Unlearning Personal Data from a Single Image. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (Trans. Mach. Learn. Res., 2025)

Group-robust Machine Unlearning. - Thomas De Min; Subhankar Roy; Stéphane Lathuilière; Elisa Ricci 001; Massimiliano Mancini (CoRR, 2025)