Dimitriadis, Nikolaos

7 publications

ICLR 2025 LiNeS: Post-Training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard
NeurIPS 2025 MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Ke Wang, Yiming Qin, Nikolaos Dimitriadis, Alessandro Favero, Pascal Frossard
ICLR 2025 Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
ICML 2024 Localizing Task Information for Improved Model Merging and Compression Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard
TMLR 2023 Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
ICML 2023 Pareto Manifold Learning: Tackling Multiple Tasks via Ensembles of Single-Task Models Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
ECCV 2022 U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard