Interval edge-colorings of graph products - Petros A. Petrosyan; Hrant Khachatrian; Liana Yepremyan; Hovhannes Tananyan (CoRR, 2011)

Interval edge-colorings of K_{1, m, n}. - Andrzej Grzesik; Hrant Khachatrian (CoRR, 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 K1, m, n. - Andrzej Grzesik; Hrant Khachatrian (Discret. Appl. Math., 2014)

Interval Non-edge-Colorable Bipartite Graphs and Multigraphs. - Petros A. Petrosyan; Hrant Khachatrian (J. Graph Theory, 2014)

On interval edge-colorings of bipartite graphs of small order. - Hrant Khachatrian; Tigran Mamikonyan (CoRR, 2015)

Some parameters related to the deficiency of graphs and the deficiency of near-complete graphs. - Petros A. Petrosyan; Hrant Khachatrian (CoRR, 2016)

Interval edge-colorings of complete graphs. - Hrant Khachatrian; Petros A. Petrosyan (Discret. Math., 2016)

Multitask Learning and Benchmarking with Clinical Time Series Data. - Hrayr Harutyunyan; Hrant Khachatrian; David C. Kale; Aram Galstyan (CoRR, 2017)

Further results on the deficiency of graphs. - Petros A. Petrosyan; Hrant Khachatrian (Discret. Appl. Math., 2017)

Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks. - Gor Arakelyan; Karen Hambardzumyan; Hrant Khachatrian (CoNLL Shared Task (2), 2018)

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report. - Martin Mirakyan; Karen Hambardzumyan; Hrant Khachatrian (CoRR, 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)

BioRelEx 1.0: Biological Relation Extraction Benchmark. - Hrant Khachatrian; Lilit Nersisyan; Karen Hambardzumyan; Tigran Galstyan; Anna Hakobyan; Arsen Arakelyan; Andrey Rzhetsky; Aram Galstyan (BioNLP@ACL, 2019)

Efficient Covariance Estimation from Temporal Data. - Hrayr Harutyunyan; Daniel Moyer; Hrant Khachatrian; Greg Ver Steeg; Aram Galstyan (CoRR, 2019)

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; et al. (CVPR, 2020)

YerevaNN's Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs. - Karen Hambardzumyan; Hovhannes Tamoyan; Hrant Khachatrian (WMT@EMNLP, 2020)

Robust Classification under Class-Dependent Domain Shift. - Tigran Galstyan; Hrant Khachatrian; Greg Ver Steeg; Aram Galstyan (CoRR, 2020)

WARP: Word-level Adversarial ReProgramming. - Karen Hambardzumyan; Hrant Khachatrian; Jonathan May (ACL/IJCNLP (1), 2021)

Deep Semi-Supervised Image Classification Algorithms: a Survey. - Ani Vanyan; Hrant Khachatrian (J. Univers. Comput. Sci., 2021)

Failure Modes of Domain Generalization Algorithms. - Tigran Galstyan; Hrayr Harutyunyan; Hrant Khachatrian; Greg Ver Steeg; Aram Galstyan (CVPR, 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)

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation. - Rafayel Darbinyan; Hrant Khachatrian; Rafayel Mkrtchyan; Theofanis P. Raptis (BigDataService, 2023)

Identifying and Disentangling Spurious Features in Pretrained Image Representations. - Rafayel Darbinyan; Hrayr Harutyunyan; Aram H. Markosyan; Hrant Khachatrian (CoRR, 2023)

Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths. - Hrant Khachatrian; Rafayel Mkrtchyan; Theofanis P. Raptis (IWCMC, 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 (MeditCom, 2024)

Toward Automating Cooja Experiment Workflows for Dataset Generation. - Greta Grigoryan; Hrant Khachatrian; Theofanis P. Raptis (SDS, 2024)

Analyzing Local Representations of Self-supervised Vision Transformers. - Ani Vanyan; Alvard Barseghyan; Hakob Tamazyan; Vahan Huroyan; Hrant Khachatrian; Martin Danelljan (CoRR, 2024)

Small Molecule Optimization with Large Language Models. - Philipp Guevorguian; Menua Bedrosian; Tigran Fahradyan; Gayane Chilingaryan; Hrant Khachatrian; Armen Aghajanyan (CoRR, 2024)

In-context Learning in Presence of Spurious Correlations. - Hrayr Harutyunyan; Rafayel Darbinyan; Samvel Karapetyan; Hrant Khachatrian (CoRR, 2024)

Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction. - Edvard Ghukasyan; Hrant Khachatrian; Rafayel Mkrtchyan; Theofanis P. Raptis (CoRR, 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)

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)

On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environments. - Armen Manukyan; Hrant Khachatrian; Edvard Ghukasyan; Theofanis P. Raptis (CoRR, 2025)