Viacheslav Meshchaninov

According to our database, Viacheslav Meshchaninov authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space.

Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov, Nikita Gushchin, Ilya Koziev, Alexander Korotin, Dmitry P. Vetrov

CoRR, May, 2026

Why Gaussian Diffusion Models Fail on Discrete Data?

Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov, Ildus Sadrtdinov, Dmitry P. Vetrov

CoRR, April, 2026

2025

Guided Star-Shaped Masked Diffusion.

Viacheslav Meshchaninov, Egor Shibaev, Artem Makoian, Ivan Klimov, Danil Sheshenya, Andrey Malinin, Nikita Balagansky, Daniil Gavrilov, Aibek Alanov, Dmitry P. Vetrov

CoRR, October, 2025

Compressed and Smooth Latent Space for Text Diffusion Modeling.

Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin, Aleksandr Abramov, Dmitry P. Vetrov

CoRR, June, 2025

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation.

Alexander Shabalin, Viacheslav Meshchaninov, Dmitry P. Vetrov

CoRR, May, 2025

Diffusion on Language Model Encodings for Protein Sequence Generation.

Viacheslav Meshchaninov, Pavel V. Strashnov, Andrey Shevtsov, Fedor Nikolaev, Nikita Ivanisenko, Olga L. Kardymon, Dmitry P. Vetrov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings.

Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov, Vladislav Lapikov, Roman Kim, Grigory Bartosh, Dmitry Molchanov, Sergey Markov, Dmitry P. Vetrov

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Diffusion on language model embeddings for protein sequence generation.

Viacheslav Meshchaninov, Pavel V. Strashnov, Andrey Shevtsov, Fedor Nikolaev, Nikita Ivanisenko, Olga L. Kardymon, Dmitry P. Vetrov

CoRR, 2024

TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings.

Alexander Shabalin, Viacheslav Meshchaninov, Tingir Badmaev, Dmitry Molchanov, Grigory Bartosh, Sergey Markov, Dmitry P. Vetrov

CoRR, 2024

2022

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection.

Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy S. Vatolin

CoRR, 2022

Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric.

Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov, Evgeney Zimin, Nikolai Karetin, Dmitriy S. Vatolin

CoRR, 2022