Vahan Hovhannisyan

According to our database, Vahan Hovhannisyan authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements.

Peter A. Zachares, Vahan Hovhannisyan, Alan Mosca, Yarin Gal

CoRR, 2023

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

On Forecasting Project Activity Durations with Neural Networks.

Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca

Proceedings of the Engineering Applications of Neural Networks, 2022

2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Fast Multilevel Algorithms for Compressive Principal Component Pursuit.

Vahan Hovhannisyan, Yannis Panagakis, Panos Parpas, Stefanos Zafeiriou

SIAM J. Imaging Sci., 2019

2017

Multilevel optimisation for computer vision.

Vahan Hovhannisyan

PhD thesis, 2017

Multilevel Approximate Robust Principal Component Analysis.

Vahan Hovhannisyan, Yannis Panagakis, Stefanos Zafeiriou, Panos Parpas

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization.

Vahan Hovhannisyan, Panos Parpas, Stefanos Zafeiriou

SIAM J. Imaging Sci., 2016

2015

MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization.

Vahan Hovhannisyan, Panos Parpas, Stefanos Zafeiriou

CoRR, 2015