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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