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RuiKang OuYang

2 accepted papers

2026

A Diffusive Classification Loss for Learning Energy-based Generative Models

ICML 2026poster

Score-based generative models have recently achieved remarkable success. While they are usually parameterized by the score, an alternative way is to use a series of time-dependent energy-based models (EBMs), where the score is obtained from the negative input-gradient of the energy. Crucially, EBMs …

Cited by 0SourceScholar
2025

Progressive Tempering Sampler with Diffusion

ICML 2025poster

Recent research has focused on designing neural samplers that amortize the process of sampling from unnormalized densities. However, despite significant advancements, they still fall short of the state-of-the-art MCMC approach, Parallel Tempering (PT), when it comes to the efficiency of target eval…