Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra. - Nikolaos Dimitriadis; Petros Maragos (CoRR, 2020)

Advances in Morphological Neural Networks: Training, Pruning and Enforcing Shape Constraints. - Nikolaos Dimitriadis; Petros Maragos (ICASSP, 2021)

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. - Ahmet Caner Yüzügüler; Nikolaos Dimitriadis; Pascal Frossard (ECCV (12), 2022)

The Theoretical Expressiveness of Maxpooling. - Kyle Matoba; Nikolaos Dimitriadis; François Fleuret (CoRR, 2022)

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. - Nikolaos Dimitriadis; Pascal Frossard; François Fleuret (ICML, 2023)

SequeL: A Continual Learning Library in PyTorch and JAX. - Nikolaos Dimitriadis; François Fleuret; Pascal Frossard (CoRR, 2023)

Flexible Channel Dimensions for Differentiable Architecture Search. - Ahmet Caner Yüzügüler; Nikolaos Dimitriadis; Pascal Frossard (CoRR, 2023)

Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence. - Kyle Matoba; Nikolaos Dimitriadis; François Fleuret (Trans. Mach. Learn. Res., 2023)

Localizing Task Information for Improved Model Merging and Compression. - Ke Wang; Nikolaos Dimitriadis; Guillermo Ortiz-Jiménez; François Fleuret; Pascal Frossard (ICML, 2024)

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences. - Nikolaos Dimitriadis; Pascal Frossard; François Fleuret (ICLR, 2025)

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. - Ke Wang; Nikolaos Dimitriadis; Alessandro Favero; Guillermo Ortiz-Jiménez; François Fleuret; Pascal Frossard (ICLR, 2025)

Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning. - Juan Garcia Giraldo; Nikolaos Dimitriadis; Ke Wang; Pascal Frossard (CoRR, 2025)

MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs. - Ke Wang; Yiming Qin; Nikolaos Dimitriadis; Alessandro Favero; Pascal Frossard (CoRR, 2025)