Alexander Shabalin

According to our database, Alexander Shabalin authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

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

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

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

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