Robuta

https://openreview.net/forum?id=DpUEkGZ6wl Linear diffusion models meet contextual bandits with large action spaces | OpenReview Efficient exploration is a key challenge in contextual bandits due to the potentially large size of their action space, where uninformed exploration can result... linear diffusion models meet contextual https://openreview.net/forum?id=XKBFdYwfRo Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models |... linear inverse problems https://www.ecmwf.int/en/elibrary/76532-some-comparisons-between-linear-and-non-linear-horizontal-diffusion-schemes Some comparisons between linear and non-linear horizontal diffusion schemes for theECMWF grid-point... https://openreview.net/forum?id=N8Oj1XhtYZ SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers |... We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096$\times$4096 resolution. Sana can synthesize high-resolution,... text to image high resolution https://openreview.net/forum?id=FV4an2OuFM Conditioning non-linear and infinite-dimensional diffusion processes | OpenReview Generative diffusion models and many stochastic models in science and engineering naturally live in infinite dimensions before discretisation. To incorporate... non linear infinite dimensional diffusion processes conditioning openreview https://arxiv.org/abs/2310.14842 [2310.14842] Joint Non-Linear MRI Inversion with Diffusion Priors Abstract page for arXiv paper 2310.14842: Joint Non-Linear MRI Inversion with Diffusion Priors non linear 2310 joint mri inversion https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2013.00041/full Frontiers | A Framework for Linear and Non-Linear Registration of Diffusion-Weighted MRIs Using... Registration of diffusion-weighted magnetic resonance images (DW-MRIs) is a key step for population studies, or construction of brain atlases, among other im... https://openreview.net/forum?id=eOtjMYdGLt Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale |... Popular guidance for denoising diffusion probabilistic model (DDPM) linearly combines distinct conditional models together to provide enhanced control over... non linear diffusion model at large characteristic guidance