Riemannian Optimization for Skip-Gram Negative Sampling. - Alexander Fonarev; Oleksii Hrinchuk; Gleb Gusev; Pavel Serdyukov; Ivan V. Oseledets (ACL (1), 2017)

Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. - Andrey Somov; Dmitrii G. Shadrin; Ilia Fastovets; Artyom Nikitin; Sergey A. Matveev; Ivan V. Oseledets; Oleksii Hrinchuk (IEEE Pervasive Comput., 2018)

Generalized Tensor Models for Recurrent Neural Networks. - Valentin Khrulkov; Oleksii Hrinchuk; Ivan V. Oseledets (ICLR (Poster), 2019)

Tensorized Embedding Layers for Efficient Model Compression. - Valentin Khrulkov; Oleksii Hrinchuk; Leyla Mirvakhabova; Ivan V. Oseledets (CoRR, 2019)

Artificial Intelligence for Prosthetics - challenge solutions. - Lukasz Kidzinski; Carmichael F. Ong; Sharada Prasanna Mohanty; Jennifer L. Hicks; Sean F. Carroll; Bo Zhou; Hong-cheng Zeng; Fan Wang 021; Rongzhong Lian; Hao Tian 005; Wojciech Jaskowski; Garrett Andersen; et al. (CoRR, 2019)

Catalyst.RL: A Distributed Framework for Reproducible RL Research. - Sergey Kolesnikov; Oleksii Hrinchuk (CoRR, 2019)

Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. - Boris Ginsburg; Patrice Castonguay; Oleksii Hrinchuk; Oleksii Kuchaiev; Vitaly Lavrukhin; Ryan Leary; Jason Li; Huyen Nguyen; Jonathan M. Cohen (CoRR, 2019)

NeMo: a toolkit for building AI applications using Neural Modules. - Oleksii Kuchaiev; Jason Li; Huyen Nguyen; Oleksii Hrinchuk; Ryan Leary; Boris Ginsburg; Samuel Kriman; Stanislav Beliaev; Vitaly Lavrukhin; Jack Cook; Patrice Castonguay; Mariya Popova; et al. (CoRR, 2019)

Tensorized Embedding Layers. - Oleksii Hrinchuk; Valentin Khrulkov; Leyla Mirvakhabova; Elena Orlova; Ivan V. Oseledets (EMNLP (Findings), 2020)

Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model. - Oleksii Hrinchuk; Mariya Popova; Boris Ginsburg (ICASSP, 2020)

NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. - Sandeep Subramanian; Oleksii Hrinchuk; Virginia Adams; Oleksii Kuchaiev (WMT@EMNLP, 2021)

NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21. - Sandeep Subramanian; Oleksii Hrinchuk; Virginia Adams; Oleksii Kuchaiev (CoRR, 2021)

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. - Oleksii Hrinchuk; Vahid Noroozi; Ashwinkumar Ganesan; Sarah Campbell; Sandeep Subramanian; Somshubra Majumdar; Oleksii Kuchaiev (IWSLT@ACL, 2022)

Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation. - Virginia Adams; Sandeep Subramanian; Mike Chrzanowski; Oleksii Hrinchuk; Oleksii Kuchaiev (CoRR, 2022)

Leveraging Synthetic Targets for Machine Translation. - Sarthak Mittal; Oleksii Hrinchuk; Oleksii Kuchaiev (ACL (Findings), 2023)

Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. - Dima Rekesh; Nithin Rao Koluguri; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Krishna C. Puvvada; Ankur Kumar; Jagadeesh Balam; Boris Ginsburg (ASRU, 2023)

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2023. - Oleksii Hrinchuk; Vladimir Bataev; Evelina Bakhturina; Boris Ginsburg (IWSLT@ACL, 2023)

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. - Dima Rekesh; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Ankur Kumar; Boris Ginsburg (CoRR, 2023)

SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation. - Zhehuai Chen; He Huang 012; Andrei Andrusenko; Oleksii Hrinchuk; Krishna C. Puvvada; Jason Li; Subhankar Ghosh; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2024)

Less is More: Accurate Speech Recognition & Translation without Web-Scale Data. - Krishna C. Puvvada; Piotr Zelasko; He Huang 012; Oleksii Hrinchuk; Nithin Rao Koluguri; Kunal Dhawan; Somshubra Majumdar; Elena Rastorgueva; Zhehuai Chen; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (INTERSPEECH, 2024)

Bestow: Efficient and Streamable Speech Language Model with The Best of Two Worlds in GPT and T5. - Zhehuai Chen; He Huang 012; Oleksii Hrinchuk; Krishna C. Puvvada; Nithin Rao Koluguri; Piotr Zelasko; Jagadeesh Balam; Boris Ginsburg (SLT, 2024)

Longer is (Not Necessarily) Stronger: Punctuated Long-Sequence Training for Enhanced Speech Recognition and Translation. - Nithin Rao Koluguri; Travis M. Bartley; Hainan Xu; Oleksii Hrinchuk; Jagadeesh Balam; Boris Ginsburg; Georg Kucsko (SLT, 2024)

Chain-of-Thought Prompting for Speech Translation. - Ke Hu; Zhehuai Chen; Chao-Han Huck Yang; Piotr Zelasko; Oleksii Hrinchuk; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2025)

EMMeTT: Efficient Multimodal Machine Translation Training. - Piotr Zelasko; Zhehuai Chen; Mengru Wang; Daniel Galvez; Oleksii Hrinchuk; Shuoyang Ding; Ke Hu; Jagadeesh Balam; Vitaly Lavrukhin; Boris Ginsburg (ICASSP, 2025)

Anticipating Future with Large Language Model for Simultaneous Machine Translation. - Siqi Ouyang; Oleksii Hrinchuk; Zhehuai Chen; Vitaly Lavrukhin; Jagadeesh Balam; Lei Li 005; Boris Ginsburg (NAACL (Long Papers), 2025)