1 citations · 2 across the 20 of their papers we have counts for
6 papers · 1 filter
Learning to See through Action: Predictive Curiosity for Robots
Stelios Zarifis, Panagiotis Filntisis, George Retsinas +1
Humans and animals do not learn vision from a fixed set of data: they move, interact, and learn from the visual consequences of their actions. Motivated by this developmental view,…
Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion
Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos +1
Digital phenotyping enables continuous passive monitoring of behavior and physiology, offering a promising paradigm for early detection of psychotic relapse. In this work, we devel…
Shared-Weights Extender and Gradient Voting for Neural Network Expansion
Nikolas Chatzis, Ioannis Kordonis, Manos Theodosis +1
Expanding neural networks during training is a promising way to augment capacity without retraining larger models from scratch. However, newly added neurons often fail to adjust to…
Training Deep Morphological Neural Networks as Universal Approximators
Konstantinos Fotopoulos, Petros Maragos
We investigate deep morphological neural networks (DMNNs), studying how changes in algebraic structure affect the expressivity and trainability of deep architectures. We show that…
Sparse Hybrid Linear-Morphological Networks
Konstantinos Fotopoulos, Christos Garoufis, Petros Maragos
We investigate hybrid linear-morphological networks. Recent studies highlight the inherent affinity of morphological layers to pruning, but also their difficulty in training. We pr…
A Transformer-Based Framework for Greek Sign Language Production using Extended Skeletal Motion Representations
Chrysa Pratikaki, Panagiotis Filntisis, Athanasios Katsamanis +2
Sign Languages are the primary form of communication for Deaf communities across the world. To break the communication barriers between the Deaf and Hard-of-Hearing and the hearing…