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Viktor Ohanesian

2 accepted papers

2025

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

ICML 2025spotlight

While score-based generative models are the model of choice across diverse domains, there are limited tools available for controlling inference-time behavior in a principled manner, e.g. for composing multiple pretrained models. Existing classifier-free guidance methods use a simple heuristic to mix…

2023

Star-Shaped Denoising Diffusion Probabilistic Models

NeurIPS 2023poster

Denoising Diffusion Probabilistic Models (DDPMs) provide the foundation for the recent breakthroughs in generative modeling. Their Markovian structure makes it difficult to define DDPMs with distributions other than Gaussian or discrete. In this paper, we introduce Star-Shaped DDPM (SS-DDPM). Its *s…