Hrant Khachatrian

According to our database, Hrant Khachatrian authored at least 31 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Deep learning with synthetic data for wireless NLOS positioning with a single base station.

Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

Ad Hoc Networks, 2025

2024

BartSmiles: Generative Masked Language Models for Molecular Representations.

Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan, Nelly Babayan, Karen Hambardzumyan, Zaven Navoyan, Armen Aghajanyan, Hrant Khachatrian, Lusine Khondkaryan

J. Chem. Inf. Model., 2024

In-context Learning in Presence of Spurious Correlations.

Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan, Hrant Khachatrian

CoRR, 2024

Small Molecule Optimization with Large Language Models.

Philipp Guevorguian, Menua Bedrosian, Tigran Fahradyan, Gayane Chilingaryan, Hrant Khachatrian, Armen Aghajanyan

CoRR, 2024

Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths.

Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

CoRR, 2024

Analyzing Local Representations of Self-supervised Vision Transformers.

Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan, Vahan Huroyan, Hrant Khachatrian, Martin Danelljan

CoRR, 2024

Empirical Application Insights on Industrial Data and Service Aspects of Digital Twin Networks.

Marco Becattini, Davide Borsatti, Armir Bujari, Laura Carnevali, Andrea Garbugli, Hrant Khachatrian, Theofanis P. Raptis, Daniele Tarchi

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

2023

Identifying and Disentangling Spurious Features in Pretrained Image Representations.

Rafayel Darbinyan, Hrayr Harutyunyan, Aram H. Markosyan, Hrant Khachatrian

CoRR, 2023

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation.

Rafayel Darbinyan, Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022

Improving VAE based molecular representations for compound property prediction.

Ani Tevosyan, Lusine Khondkaryan, Hrant Khachatrian, Gohar Tadevosyan, Lilit Apresyan, Nelly Babayan, Helga Stopper, Zaven Navoyan

J. Cheminformatics, 2022

Failure Modes of Domain Generalization Algorithms.

Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Semi-Supervised Image Classification Algorithms: a Survey.

Ani Vanyan, Hrant Khachatrian

J. Univers. Comput. Sci., 2021

WARP: Word-level Adversarial ReProgramming.

Karen Hambardzumyan, Hrant Khachatrian, Jonathan May

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Robust Classification under Class-Dependent Domain Shift.

Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

CoRR, 2020

YerevaNN's Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs.

Karen Hambardzumyan, Hovhannes Tamoyan, Hrant Khachatrian

Proceedings of the Fifth Conference on Machine Translation, 2020

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis.

Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Efficient Covariance Estimation from Temporal Data.

Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

CoRR, 2019

BioRelEx 1.0: Biological Relation Extraction Benchmark.

Hrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan, Tigran Galstyan, Anna Hakobyan, Arsen Arakelyan, Andrey Rzhetsky, Aram Galstyan

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018

Some bounds on the number of colors in interval and cyclic interval edge colorings of graphs.

Carl Johan Casselgren, Hrant Khachatrian, Petros A. Petrosyan

Discret. Math., 2018

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report.

Martin Mirakyan, Karen Hambardzumyan, Hrant Khachatrian

CoRR, 2018

Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks.

Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian

Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

2017

Further results on the deficiency of graphs.

Petros A. Petrosyan, Hrant Khachatrian

Discret. Appl. Math., 2017

Multitask Learning and Benchmarking with Clinical Time Series Data.

Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Aram Galstyan

CoRR, 2017

2016

Interval edge-colorings of complete graphs.

Hrant Khachatrian, Petros A. Petrosyan

Discret. Math., 2016

Some parameters related to the deficiency of graphs and the deficiency of near-complete graphs.

Petros A. Petrosyan, Hrant Khachatrian

CoRR, 2016

2015

On interval edge-colorings of bipartite graphs of small order.

Hrant Khachatrian, Tigran Mamikonyan

CoRR, 2015

2014

Interval Non-edge-Colorable Bipartite Graphs and Multigraphs.

Petros A. Petrosyan, Hrant Khachatrian

J. Graph Theory, 2014

Interval edge-colorings of K_{1, m, n}.

Andrzej Grzesik, Hrant Khachatrian

Discret. Appl. Math., 2014

2013

Interval edge-colorings of Cartesian products of graphs I.

Hrant Khachatrian, Petros A. Petrosyan, Hovhannes Tananyan

Discuss. Math. Graph Theory, 2013

Interval edge-colorings of K_{1, m, n}.

Andrzej Grzesik, Hrant Khachatrian

CoRR, 2013

2011

Interval edge-colorings of graph products

Petros A. Petrosyan, Hrant Khachatrian, Liana Yepremyan, Hovhannes Tananyan

CoRR, 2011