Vahan Hovhannisyan

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 7

Top Topics

Mlp Neural Networks

Class Membership

Robust Principal Component Analysis

Top Venues

SIAM J. Imaging Sci.

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. CoRR (2023)
Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca
On Forecasting Project Activity Durations with Neural Networks. EANN (2022)
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 (2022)
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)
Vahan Hovhannisyan, Yannis Panagakis, Panos Parpas, Stefanos Zafeiriou
Fast Multilevel Algorithms for Compressive Principal Component Pursuit. SIAM J. Imaging Sci. 12 (1) (2019)
Vahan Hovhannisyan, Yannis Panagakis, Stefanos Zafeiriou, Panos Parpas
Multilevel Approximate Robust Principal Component Analysis. ICCV Workshops (2017)
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) (2016)
Vahan Hovhannisyan, Panos Parpas, Stefanos Zafeiriou
MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization. CoRR (2015)