Differentially Private Distributed Learning for Language Modeling Tasks. - Vadim Popov; Mikhail A. Kudinov; Irina Piontkovskaya; Petr Vytovtov; Alex Nevidomsky (CoRR, 2017)

Distributed Fine-tuning of Language Models on Private Data. - Vadim Popov; Mikhail A. Kudinov; Irina Piontkovskaya; Petr Vytovtov; Alex Nevidomsky (ICLR (Poster), 2018)

Fine-tuning of Language Models with Discriminator. - Vadim Popov; Mikhail A. Kudinov (CoRR, 2018)

Gaussian Lpcnet for Multisample Speech Synthesis. - Vadim Popov; Mikhail A. Kudinov; Tasnima Sadekova (ICASSP, 2020)

Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet. - Vadim Popov; Stanislav Kamenev; Mikhail A. Kudinov; Sergey Repyevsky; Tasnima Sadekova; Vitalii Bushaev; Vladimir Kryzhanovskiy; Denis Parkhomenko (INTERSPEECH, 2020)

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail A. Kudinov (ICML, 2021)

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail A. Kudinov; Jiansheng Wei (CoRR, 2021)

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail Sergeevich Kudinov; Jiansheng Wei (ICLR, 2022)

A Unified System for Voice Cloning and Voice Conversion through Diffusion Probabilistic Modeling. - Tasnima Sadekova; Vladimir Gogoryan; Ivan Vovk; Vadim Popov; Mikhail A. Kudinov; Jiansheng Wei (INTERSPEECH, 2022)

Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU. - Ivan Vovk; Tasnima Sadekova; Vladimir Gogoryan; Vadim Popov; Mikhail A. Kudinov; Jiansheng Wei (INTERSPEECH, 2022)

Optimal Transport in Diffusion Modeling for Conversion Tasks in Audio Domain. - Vadim Popov; Amantur Amatov; Mikhail A. Kudinov; Vladimir Gogoryan; Tasnima Sadekova; Ivan Vovk (ICASSP, 2023)

PitchFlow: adding pitch control to a Flow-matching based TTS model. - Tasnima Sadekova; Mikhail A. Kudinov; Vadim Popov; Assel Yermekova; Artem Khrapov (INTERSPEECH, 2024)

Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss. - Artem Khrapov; Vadim Popov; Tasnima Sadekova; Assel Yermekova; Mikhail A. Kudinov (CoRR, 2024)

Improved Sampling Algorithms for Lévy-Itô Diffusion Models. - Vadim Popov; Assel Yermekova; Tasnima Sadekova; Artem Khrapov; Mikhail Sergeevich Kudinov (ICLR, 2025)