Imagen de Portada

Gradient Guidance for Diffusion Models: An Optimization Perspective

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Guo, Yingqing, Yuan, Hui, Yang, Yukang, Chen, Minshuo, Wang, Mengdi
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
por: Guo, Yingqing, et al.
Publicado: (2025)

Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
por: Fu, Hengyu, et al.
Publicado: (2024)

Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
por: Wu, Yuchen, et al.
Publicado: (2024)

Provable Statistical Rates for Consistency Diffusion Models
por: Dou, Zehao, et al.
Publicado: (2024)

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
por: Chen, Minshuo, et al.
Publicado: (2024)

Diffusion Model for Data-Driven Black-Box Optimization
por: Li, Zihao, et al.
Publicado: (2024)

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
por: Zhang, Zixuan, et al.
Publicado: (2026)

A Theoretical Perspective for Speculative Decoding Algorithm
por: Yin, Ming, et al.
Publicado: (2024)

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
por: Fu, Hengyu, et al.
Publicado: (2024)

Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds
por: Xu, Zhenghao, et al.
Publicado: (2023)

Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks
por: Li, Zihao, et al.
Publicado: (2023)

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
por: Ye, Zeqi, et al.
Publicado: (2025)

Provable Separations between Memorization and Generalization in Diffusion Models
por: Ye, Zeqi, et al.
Publicado: (2025)

Latent Diffusion Models for Controllable RNA Sequence Generation
por: Huang, Kaixuan, et al.
Publicado: (2024)

Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform
por: Zhu, Qijie, et al.
Publicado: (2026)

Uncertainty-aware Language Guidance for Concept Bottleneck Models
por: Li, Yangyi, et al.
Publicado: (2026)

A First-order Generative Bilevel Optimization Framework for Diffusion Models
por: Xiao, Quan, et al.
Publicado: (2025)

Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure
por: Chen, Minshuo, et al.
Publicado: (2025)

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
por: Zhang, Zixuan, et al.
Publicado: (2023)

A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
por: Yuan, Hui, et al.
Publicado: (2024)

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
por: Qiu, Jiahao, et al.
Publicado: (2024)

Counterfactual Generative Models for Time-Varying Treatments
por: Wu, Shenghao, et al.
Publicado: (2023)

REG: Rectified Gradient Guidance for Conditional Diffusion Models
por: Gao, Zhengqi, et al.
Publicado: (2025)

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
por: Chen, Zhichao, et al.
Publicado: (2024)

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance
por: Lee, Kin Man, et al.
Publicado: (2024)

Diffusion Models with Double Guidance: Generate with aggregated datasets
por: Yang, Yanfeng, et al.
Publicado: (2025)

Conversational Dueling Bandits in Generalized Linear Models
por: Yang, Shuhua, et al.
Publicado: (2024)

Variance-Reduction Guidance: Sampling Trajectory Optimization for Diffusion Models
por: Xu, Shifeng, et al.
Publicado: (2025)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
por: Zhong, Yuan, et al.
Publicado: (2024)

Diffusion Models without Classifier-free Guidance
por: Tang, Zhicong, et al.
Publicado: (2025)

Simple Guidance Mechanisms for Discrete Diffusion Models
por: Schiff, Yair, et al.
Publicado: (2024)

Improving Discriminator Guidance in Diffusion Models
por: Verine, Alexandre, et al.
Publicado: (2025)

Pruning for Sparse Diffusion Models based on Gradient Flow
por: Wan, Ben, et al.
Publicado: (2025)

Interpreting and Improving Diffusion Models from an Optimization Perspective
por: Permenter, Frank, et al.
Publicado: (2023)

Guidance with Spherical Gaussian Constraint for Conditional Diffusion
por: Yang, Lingxiao, et al.
Publicado: (2024)

Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
por: Shankar, Aditya, et al.
Publicado: (2026)

Logical Guidance for the Exact Composition of Diffusion Models
por: Alesiani, Francesco, et al.
Publicado: (2026)

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
por: Zhou, Dongruo, et al.
Publicado: (2018)

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
por: Si, Qi, et al.
Publicado: (2026)

Explicit Critic Guidance for Aligning Diffusion Models
por: Liang, Zhengyang, et al.
Publicado: (2026)