Predicting Power Outages Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (GlobalSIP, 2018)

Optimal Power Flow Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (ICASSP, 2020)

Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. - Damian Owerko; Charilaos I. Kanatsoulis; Alejandro Ribeiro; Donald J. Bucci Jr.; Jennifer Bondarchuk (CoRR, 2022)

Solving Large-Scale Spatial Problems with Convolutional Neural Networks. - Damian Owerko; Charilaos I. Kanatsoulis; Alejandro Ribeiro (ACSSC, 2023)

Multi-Target Tracking with Transferable Convolutional Neural Networks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci; Alejandro Ribeiro (CAMSAP, 2023)

Transferability of Convolutional Neural Networks in Stationary Learning Tasks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci Jr.; Alejandro Ribeiro (CoRR, 2023)

Unsupervised Optimal Power Flow Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (ICASSP, 2024)

Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning. - Shreyas Muthusamy; Damian Owerko; Charilaos I. Kanatsoulis; Saurav Agarwal; Alejandro Ribeiro (CoRR, 2024)

MAST: Multi-Agent Spatial Transformer for Learning to Collaborate. - Damian Owerko; Frederic Vatnsdal; Saurav Agarwal; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2025)