3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
We propose denoising diffusion variational inference (DDVI), a black-box variational inference algorithm for latent variable models which relies on diffusion models as flexible app…
cs.CL2023★ 3 cited
Active Preference Inference using Language Models and Probabilistic Reasoning
Wasu Top Piriyakulkij, Volodymyr Kuleshov, Kevin Ellis
Actively inferring user preferences, for example by asking good questions, is important for any human-facing decision-making system. Active inference allows such systems to adapt a…