Thomas De Min

According to our database, Thomas De Min authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models.

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

CoRR, March, 2026

2025

Group-robust Machine Unlearning.

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

Trans. Mach. Learn. Res., 2025

Unlearning Personal Data from a Single Image.

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

Trans. Mach. Learn. Res., 2025

2024

One-Shot Unlearning of Personal Identities.

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

CoRR, 2024

Conditioned Prompt-Optimization for Continual Deepfake Detection.

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

Proceedings of the Pattern Recognition - 27th International Conference, 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

Proceedings of the Conference on Lifelong Learning Agents, 2024

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Quantum annealing learning search implementations.

Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello

Quantum Inf. Comput., 2022