Predicting the flow field in a U-bend with deep neural networks. - Gergely Hajgató; Bálint Gyires-Tóth; György Paál (CoRR, 2020)

Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems. - Gergely Hajgató; György Paál; Bálint Gyires-Tóth (CoRR, 2020)

Reconstructing nodal pressures in water distribution systems with graph neural networks. - Gergely Hajgató; Bálint Gyires-Tóth; György Paál (CoRR, 2021)

PredMaX: Predictive maintenance with explainable deep convolutional autoencoders. - Gergely Hajgató; Richárd Wéber; Botond Szilágyi; Balázs Tóthpál; Bálint Gyires-Tóth; Csaba Hos (Adv. Eng. Informatics, 2022)

A LiDAR-based approach to autonomous racing with model-free reinforcement learning. - Máté Hell; Gergely Hajgató; Ármin Bogár-Németh; Gergely Bári (IV, 2024)