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Assel Yermekova

2 accepted papers

2026

Optimality of FSQ tokens for continuous diffusion for categorical data with application to text-to-speech

ICML 2026poster

Continuous diffusion for categorical data is a framework belonging to the diffusion family and aiming at generating discrete data. The scientific interest to such models has been constantly increasing these days because researchers try to achieve a challenging goal of finding reasonable alternatives…

Cited by 0SourceScholar
2025

Improved Sampling Algorithms for Lévy-Itô Diffusion Models

ICLR 2025poster

Lévy-Itô denoising diffusion models relying on isotropic α-stable noise instead of Gaussian distribution have recently been shown to improve performance of conventional diffusion models in image generation on imbalanced datasets while performing comparably in the standard settings. However, the stoc…

Cited by 0SourcePDFScholar