8 citations · 13 across the 8 of their papers we have counts for
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cs.LG2025
Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
Iskander Azangulov, Teodora Pandeva, Niranjani Prasad +2
Masked diffusion models (MDMs) offer a compelling alternative to autoregressive models (ARMs) for discrete text generation because they enable parallel token sampling, rather than…
cs.LG2022★ 1 cited
Multi-View Independent Component Analysis with Shared and Individual Sources
Teodora Pandeva, Patrick Forré
Independent component analysis (ICA) is a blind source separation method for linear disentanglement of independent latent sources from observed data. We investigate the special set…
cs.LG2019★ 8 cited
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
Teodora Pandeva, Matthias Schubert
Over the past years, Generative Adversarial Networks (GANs) have shown a remarkable generation performance especially in image synthesis. Unfortunately, they are also known for hav…