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2020 – today
- 2023
[i2]Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal:
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. CoRR abs/2311.00444 (2023)- 2022
- [j3]Ying Hong, Haiyan Xie, Vahan Hovhannisyan, Ioannis K. Brilakis
:
A graph-based approach for unpacking construction sequence analysis to evaluate schedules. Adv. Eng. Informatics 52: 101625 (2022) - [c3]Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca:
On Forecasting Project Activity Durations with Neural Networks. EANN 2022: 103-114 - 2020
- [c2]Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca:
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. KDD 2020: 3499-3500
2010 – 2019
- 2019
- [j2]Vahan Hovhannisyan, Yannis Panagakis, Panos Parpas, Stefanos Zafeiriou:
Fast Multilevel Algorithms for Compressive Principal Component Pursuit. SIAM J. Imaging Sci. 12(1): 624-649 (2019) - 2017
- [b1]Vahan Hovhannisyan:
Multilevel optimisation for computer vision. Imperial College London, UK, 2017 - [c1]Vahan Hovhannisyan, Yannis Panagakis, Stefanos Zafeiriou, Panos Parpas:
Multilevel Approximate Robust Principal Component Analysis. ICCV Workshops 2017: 536-544 - 2016
- [j1]Vahan Hovhannisyan, Panos Parpas, Stefanos Zafeiriou:
MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization. SIAM J. Imaging Sci. 9(4): 1829-1857 (2016) - 2015
- [i1]Vahan Hovhannisyan, Panos Parpas, Stefanos Zafeiriou:
MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization. CoRR abs/1509.05715 (2015)
Coauthor Index
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