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20232026
most citedPRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

2 citations · 3 across the 6 of their papers we have counts for

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Showing 2025 · cs.LGShow all

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cs.LG2025

QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction

Guanchen Du, Jianlong Xu, Wei Wei

Accurate Quality of Service (QoS) prediction is fundamental to service computing, providing essential data-driven guidance for service selection and ensuring superior user experien…

cs.LG2025

Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models

Zhidong Gao, Zimeng Pan, Yuhang Yao +2

Diffusion models like Stable Diffusion (SD) drive a vibrant open-source ecosystem including fully fine-tuned checkpoints and parameter-efficient adapters such as LoRA, LyCORIS, and…