Nikolaos Dimitriadis

19 papers A* 4Misc 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model soups need only one ingredient.
CoRR
Alireza Abdollahpoorrostam, Nikolaos Dimitriadis, Adam Hazimeh, Pascal Frossard
2025 A* conf
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging.
ICLR
Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2025 J jnl
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs.
CoRR
Ke Wang, Yiming Qin, Nikolaos Dimitriadis, Alessandro Favero, Pascal Frossard
2025 A* conf
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences.
ICLR
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
2025 J jnl
Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning.
CoRR
Juan Garcia Giraldo, Nikolaos Dimitriadis, Ke Wang, Pascal Frossard
2024 J jnl
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging.
CoRR
Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024 A* conf
Localizing Task Information for Improved Model Merging and Compression.
ICML
Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024 J jnl
Localizing Task Information for Improved Model Merging and Compression.
CoRR
Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024 J jnl
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences.
CoRR
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
2023 J jnl
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence.
Trans. Mach. Learn. Res.
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
2023 J jnl
Flexible Channel Dimensions for Differentiable Architecture Search.
CoRR
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
2023 A* conf
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models.
ICML
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
2023 J jnl
SequeL: A Continual Learning Library in PyTorch and JAX.
CoRR
Nikolaos Dimitriadis, François Fleuret, Pascal Frossard
2022 J jnl
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models.
CoRR
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
2022 J jnl
The Theoretical Expressiveness of Maxpooling.
CoRR
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
2022 — conf
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search.
ECCV (12)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
2022 J jnl
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search.
CoRR
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
2021 Misc conf
Advances in Morphological Neural Networks: Training, Pruning and Enforcing Shape Constraints.
ICASSP
Nikolaos Dimitriadis, Petros Maragos
2020 J jnl
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra.
CoRR
Nikolaos Dimitriadis, Petros Maragos