1 citations · 1 across the 4 of their papers we have counts for
5 papers
PICKLES: Covariance-Preconditioned Kinetic Langevin Ensemble Sampler
Hong Ye Tan, Stanley Osher, Yifan Chen
We propose a covariance-preconditioned kinetic Langevin ensemble sampler named PICKLES. This is a kinetic analogue of the affine invariant interacting Langevin dynamics (ALDI). PIC…
Accelerated Regularized Wasserstein Proximal Sampling Algorithms
Hong Ye Tan, Stanley Osher, Wuchen Li
We consider sampling from a Gibbs distribution by evolving a finite number of particles using a particular score estimator rather than Brownian motion. To accelerate the particles,…
Preconditioned Regularized Wasserstein Proximal Sampling
Hong Ye Tan, Stanley Osher, Wuchen Li
We consider sampling from a Gibbs distribution by evolving finitely many particles. We propose a preconditioned version of a recently proposed noise-free sampling method, governed…
Dataset Distillation as Pushforward Optimal Quantization
Hong Ye Tan, Emma Slade
Dataset distillation aims to find a synthetic training set such that training on the synthetic data achieves similar performance to training on real data, with orders of magnitude…
HCL-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis
Shi Yin, Hongqi Tan, Li Ming Chong +6
Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Arti…