MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization. - Vahan Hovhannisyan; Panos Parpas; Stefanos Zafeiriou (CoRR, 2015)

MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization. - Vahan Hovhannisyan; Panos Parpas; Stefanos Zafeiriou (SIAM J. Imaging Sci., 2016)

Multilevel Approximate Robust Principal Component Analysis. - Vahan Hovhannisyan; Yannis Panagakis; Stefanos Zafeiriou; Panos Parpas (ICCV Workshops, 2017)

Multilevel optimisation for computer vision. - Vahan Hovhannisyan (2017)

Fast Multilevel Algorithms for Compressive Principal Component Pursuit. - Vahan Hovhannisyan; Yannis Panagakis; Panos Parpas; Stefanos Zafeiriou (SIAM J. Imaging Sci., 2019)

How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. - Natalia Culakova; Dan Murphy; Joao Gante; Carlos Ledezma; Vahan Hovhannisyan; Alan Mosca (KDD, 2020)

On Forecasting Project Activity Durations with Neural Networks. - Peter Zachares; Vahan Hovhannisyan; Carlos Ledezma; Joao Gante; Alan Mosca (EANN, 2022)

A graph-based approach for unpacking construction sequence analysis to evaluate schedules. - Ying Hong; Haiyan Xie; Vahan Hovhannisyan; Ioannis K. Brilakis (Adv. Eng. Informatics, 2022)

Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. - Peter A. Zachares; Vahan Hovhannisyan; Alan Mosca; Yarin Gal (CoRR, 2023)