Cover Image

Score Augmentation for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hou, Liang, Gao, Yuan, Jiang, Boyuan, Tao, Xin, Yan, Qi, Liao, Renjie, Wan, Pengfei, Zhang, Di, Gai, Kun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance
by: Zhong, Jincheng, et al.
Published: (2025)

Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
by: Gao, Yuanpei, et al.
Published: (2025)

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
by: Yan, Qi, et al.
Published: (2023)

Scaling Image and Video Generation via Test-Time Evolutionary Search
by: He, Haoran, et al.
Published: (2025)

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
by: Zhang, Yongxing, et al.
Published: (2024)

Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
by: Hou, Liang, et al.
Published: (2025)

Owl-1: Omni World Model for Consistent Long Video Generation
by: Huang, Yuanhui, et al.
Published: (2024)

Towards Precise Scaling Laws for Video Diffusion Transformers
by: Yin, Yuanyang, et al.
Published: (2024)

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
by: Fan, Zhongxiang, et al.
Published: (2024)

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
by: Liang, Yuchen, et al.
Published: (2024)

From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models
by: Liang, Yuchen, et al.
Published: (2026)

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
by: He, Zhuo, et al.
Published: (2025)

RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis
by: Yadav, Robin, et al.
Published: (2025)

Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
by: Lin, Jinxu, et al.
Published: (2024)

Moderating the Generalization of Score-based Generative Model
by: Jiang, Wan, et al.
Published: (2024)

Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
by: Tian, Yuxing, et al.
Published: (2024)

Feature Dynamics as Implicit Data Augmentation: A Depth-Decomposed View on Deep Neural Network Generalization
by: Ruan, Tianyu, et al.
Published: (2025)

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
by: Zhang, S., et al.
Published: (2024)

Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
by: Chen, Jie, et al.
Published: (2025)

From Graph Diffusion to Graph Classification
by: Xian, Jia Jun Cheng, et al.
Published: (2024)

ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion
by: Kondori, Nima, et al.
Published: (2025)

Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
by: Li, Runjia, et al.
Published: (2024)

Retrieval Augmented Generation for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)

Distributional Diffusion Models with Scoring Rules
by: De Bortoli, Valentin, et al.
Published: (2025)

StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams
by: Wu, Zike, et al.
Published: (2025)

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

Efficient Diffusion Models: A Survey
by: Shen, Hui, et al.
Published: (2025)

Memorization Capacity of Multi-Head Attention in Transformers
by: Mahdavi, Sadegh, et al.
Published: (2023)

Astra: General Interactive World Model with Autoregressive Denoising
by: Zhu, Yixuan, et al.
Published: (2025)

Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference
by: Li, Xuechun, et al.
Published: (2025)

Control Variate Score Matching for Diffusion Models
by: Kahouli, Khaled, et al.
Published: (2025)

Batch Loss Score for Dynamic Data Pruning
by: Zhou, Qing, et al.
Published: (2026)

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

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
by: Liao, Yufan, et al.
Published: (2023)

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
by: Fu, Yuxiang, et al.
Published: (2025)

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
by: Ma, Chenrui, et al.
Published: (2025)

MCMC-Correction of Score-Based Diffusion Models for Model Composition
by: Sjöberg, Anders, et al.
Published: (2023)

Transformer as an Euler Discretization of Score-based Variational Flow
by: Liao, Huadong
Published: (2026)

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
by: Zhang, Zikun, et al.
Published: (2024)