Thomas De Min

Thomas De Min

Ph.D.

2023–Present thomas.demin@unitn.it

Research Interests

Continual Learning

Papers (5)

2025

Group-robust Machine Unlearning

Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, Massimiliano Mancini

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Unlearning Personal Data from a Single Image

Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci

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2024

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning

Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci

PDF Website

Conditioned Prompt-Optimization for Continual Deepfake Detection

Francesco Laiti, Benedetta Liberatori, Thomas De Min, Elisa Ricci

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2023

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers

Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci

PDF Website