Nikolaos Dimitriadis

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Shape Constraints

Multi Layer Perceptron

Manifold Learning

Search Mechanism

Top Venues

Publications

Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
Localizing Task Information for Improved Model Merging and Compression. CoRR (2024)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences. CoRR (2024)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
Flexible Channel Dimensions for Differentiable Architecture Search. CoRR (2023)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. ICML (2023)
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence. Trans. Mach. Learn. Res. 2023 (2023)
Nikolaos Dimitriadis, François Fleuret, Pascal Frossard
SequeL: A Continual Learning Library in PyTorch and JAX. CoRR (2023)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. ECCV (12) (2022)
Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search. CoRR (2022)
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
The Theoretical Expressiveness of Maxpooling. CoRR (2022)
Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models. CoRR (2022)
Nikolaos Dimitriadis, Petros Maragos
Advances in Morphological Neural Networks: Training, Pruning and Enforcing Shape Constraints. ICASSP (2021)
Nikolaos Dimitriadis, Petros Maragos
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra. CoRR (2020)