YerevaNN

research lab

YerevaNN /jɛɾɛvɑnˈɛn/ is a non-profit computer science and mathematics research lab based in Yerevan, Armenia.

Research

  • Machine learning algorithms
    • Robust classification under class-dependent domain shift [preprint] (with USC ISI)․ Presented at ICML 2020 UDL Workshop
    • A novel robust estimator of the mean of a multivariate Gaussian distribution [preprint] (with ENSAE-CREST)
    • T-Corex: a novel method for temporal covariance estimation using information theoretic apparatus [preprint] [code] (with USC ISI)
  • Machine learning for biomedical data
  • Development of Armenian treebanks
    • Eastern Armenian treebank as part of the Universal Dependencies project [data (52K tokens)] [website] [code]
    • An end-to-end syntax parser for Armenian [code] [demo]
    • Collaboration with Marat Yavrumyan and Anna Danielyan from Yerevan State University. Partially funded by ANSEF and ISTC.
  • Student projects
    • Morpheme-aware word vectors [code]
    • A joint POS tagger and lemmatizer [paper] [code]
    • Reproducing DIIN network for NLI [report] [code]
    • Reproducing R-NET network for QA [blogpost] [code]
Visit our blog and GitHub for more.

Team

Hrant Khachatrian / Github
Karen Hambardzumyan / Github
Tigran Galstyan / Github
Arshak Minasyan / Github
Ani Vanyan / Github
Hovhannes Tamoyan (intern)
Khazhak Galstyan (intern)
Past members: Hrayr Harutyunyan, Gor Arakelyan, Martin Mirakyan, Ashot Matevosyan The easiest way to join YerevaNN is to start working on one of the projects listed on MLEVN Project Ideas Page. Our guide to deep learning might be useful (last updated in December, 2016)

The handwritten digits in the background are generated by deep convolutional generative adversarial networks [paper] [code]