Saved in:
| Main Authors: | Fu, Feiyang, Guo, Tongxian, Liu, Zhaoqiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.19962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem
by: Wang, Yijian, et al.
Published: (2025)
by: Wang, Yijian, et al.
Published: (2025)
Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
by: Tang, Luhan, et al.
Published: (2026)
by: Tang, Luhan, et al.
Published: (2026)
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
by: Chen, Youming, et al.
Published: (2025)
by: Chen, Youming, et al.
Published: (2025)
Discrete Adjoint Schrödinger Bridge Sampler
by: Guo, Wei, et al.
Published: (2026)
by: Guo, Wei, et al.
Published: (2026)
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
by: Liang, Yuchen, et al.
Published: (2025)
by: Liang, Yuchen, et al.
Published: (2025)
Corrected Samplers for Discrete Flow Models
by: Wan, Zhengyan, et al.
Published: (2026)
by: Wan, Zhengyan, et al.
Published: (2026)
One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
by: Jutras-Dube, Pascal, et al.
Published: (2025)
by: Jutras-Dube, Pascal, et al.
Published: (2025)
Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Diffusion-PINN Sampler
by: Shi, Zhekun, et al.
Published: (2024)
by: Shi, Zhekun, et al.
Published: (2024)
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
by: Zheng, Yang, et al.
Published: (2025)
by: Zheng, Yang, et al.
Published: (2025)
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
by: Sanokowski, Sebastian, et al.
Published: (2025)
by: Sanokowski, Sebastian, et al.
Published: (2025)
Learning Single Index Models with Diffusion Priors
by: Tang, Anqi, et al.
Published: (2025)
by: Tang, Anqi, et al.
Published: (2025)
Progressive Tempering Sampler with Diffusion
by: Rissanen, Severi, et al.
Published: (2025)
by: Rissanen, Severi, et al.
Published: (2025)
Preconditioned Discrete-HAMS: A Second-order Irreversible Discrete Sampler
by: Zhou, Yuze, et al.
Published: (2025)
by: Zhou, Yuze, et al.
Published: (2025)
Discrete Neural Flow Samplers with Locally Equivariant Transformer
by: Ou, Zijing, et al.
Published: (2025)
by: Ou, Zijing, et al.
Published: (2025)
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
by: Kim, Jeongsol, et al.
Published: (2024)
by: Kim, Jeongsol, et al.
Published: (2024)
Particle Denoising Diffusion Sampler
by: Phillips, Angus, et al.
Published: (2024)
by: Phillips, Angus, et al.
Published: (2024)
GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler
by: Wang, Minghan, et al.
Published: (2026)
by: Wang, Minghan, et al.
Published: (2026)
Attention-Based Sampler for Diffusion Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
Adaptive Destruction Processes for Diffusion Samplers
by: Gritsaev, Timofei, et al.
Published: (2025)
by: Gritsaev, Timofei, et al.
Published: (2025)
Single-Step Consistent Diffusion Samplers
by: Jutras-Dubé, Pascal, et al.
Published: (2025)
by: Jutras-Dubé, Pascal, et al.
Published: (2025)
Continuously Tempered Diffusion Samplers
by: Erives, Ezra, et al.
Published: (2025)
by: Erives, Ezra, et al.
Published: (2025)
Diffusion Language Models are Provably Optimal Parallel Samplers
by: Jiang, Haozhe, et al.
Published: (2025)
by: Jiang, Haozhe, et al.
Published: (2025)
On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
Distillation of Discrete Diffusion by Exact Conditional Distribution Matching
by: Gao, Yansong, et al.
Published: (2025)
by: Gao, Yansong, et al.
Published: (2025)
Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD
by: Hoogeboom, Emiel, et al.
Published: (2026)
by: Hoogeboom, Emiel, et al.
Published: (2026)
The Diffusion Duality, Chapter II: $Ψ$-Samplers
by: Deschenaux, Justin, et al.
Published: (2026)
by: Deschenaux, Justin, et al.
Published: (2026)
Distillation of Discrete Diffusion through Dimensional Correlations
by: Hayakawa, Satoshi, et al.
Published: (2024)
by: Hayakawa, Satoshi, et al.
Published: (2024)
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
by: Zhu, Yuchen, et al.
Published: (2025)
by: Zhu, Yuchen, et al.
Published: (2025)
Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models
by: Yang, Ruofeng, et al.
Published: (2025)
by: Yang, Ruofeng, et al.
Published: (2025)
Rethinking Losses for Diffusion Bridge Samplers
by: Sanokowski, Sebastian, et al.
Published: (2025)
by: Sanokowski, Sebastian, et al.
Published: (2025)
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
by: Liang, Yuchen, et al.
Published: (2024)
by: Liang, Yuchen, et al.
Published: (2024)
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
by: Havens, Aaron, et al.
Published: (2025)
by: Havens, Aaron, et al.
Published: (2025)
DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
by: Zhou, Xueyu, et al.
Published: (2026)
by: Zhou, Xueyu, et al.
Published: (2026)
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
by: Sheng, Jiayuan, et al.
Published: (2025)
by: Sheng, Jiayuan, et al.
Published: (2025)
Pretrained Diffusion Models Are Inherently Skipped-Step Samplers
by: Xu, Wenju
Published: (2025)
by: Xu, Wenju
Published: (2025)
Training Neural Samplers with Reverse Diffusive KL Divergence
by: He, Jiajun, et al.
Published: (2024)
by: He, Jiajun, et al.
Published: (2024)
Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers
by: Lyu, Zicheng, et al.
Published: (2026)
by: Lyu, Zicheng, et al.
Published: (2026)
Generalized Eigenvalue Problems with Generative Priors
by: Liu, Zhaoqiang, et al.
Published: (2024)
by: Liu, Zhaoqiang, et al.
Published: (2024)
Similar Items
-
An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem
by: Wang, Yijian, et al.
Published: (2025) -
Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
by: Tang, Luhan, et al.
Published: (2026) -
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
by: Chen, Youming, et al.
Published: (2025) -
Discrete Adjoint Schrödinger Bridge Sampler
by: Guo, Wei, et al.
Published: (2026) -
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
by: Liang, Yuchen, et al.
Published: (2025)