NEURIPS 2025 "denoising process" Papers

9 papers found

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BADiff: Bandwidth Adaptive Diffusion Model

Xi Zhang, Hanwei Zhu, Yan Zhong et al.

NEURIPS 2025posterarXiv:2510.21366

Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism

Kunyun Wang, Bohan Li, Kai Yu et al.

NEURIPS 2025posterarXiv:2505.14741
1
citations

dKV-Cache: The Cache for Diffusion Language Models

Xinyin Ma, Runpeng Yu, Gongfan Fang et al.

NEURIPS 2025posterarXiv:2505.15781
66
citations

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance

Maximilian Du, Shuran Song

NEURIPS 2025posterarXiv:2506.13922
5
citations

Is Your Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.

NEURIPS 2025poster

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization

Chenglong Wang, Yang Gan, Hang Zhou et al.

NEURIPS 2025posterarXiv:2510.21473

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders

Wenyu Mao, Jiancan Wu, Guoqing Hu et al.

NEURIPS 2025oralarXiv:2510.17245

Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

Yao Teng, Fu-Yun Wang, Xian Liu et al.

NEURIPS 2025posterarXiv:2510.08994

Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising

Mateo Clémente, Leo Brunswic, Yang et al.

NEURIPS 2025posterarXiv:2510.21991
1
citations