65 citations · 333 across the 34 of their papers we have counts for
3 papers · 1 filter
Using Part-based Representations for Explainable Deep Reinforcement Learning
Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou +2
Utilizing deep learning models to learn part-based representations holds significant potential for interpretable-by-design approaches, as these models incorporate latent causes obt…
UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors
Konstantinos Gounis, Nikolaos Passalis, Anastasios Tefas
In this study a model pipeline is proposed that combines computer vision with control-theoretic methods and utilizes low cost sensors. The proposed work enables perception-aware mo…
New Gravitational Wave Discoveries Enabled by Machine Learning
Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi +4
The detection of gravitational waves has revolutionized our understanding of the universe, offering unprecedented insights into its dynamics. A major goal of gravitational wave dat…