1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2026
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,…
cs.LG2025
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…
eess.IV2024★ 1 cited
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…