:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Min, Lu, Peng, Feng, Qing
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.09164
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Large Language Model for Feasible and Diverse Population Synthesis
by: Lim, Sung Yoo, et al.
Published: (2025)

CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields
by: Liu, Xin-Yang, et al.
Published: (2024)

Synthetic Flight Data Generation Using Generative Models
by: Aly, Karim, et al.
Published: (2026)

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
by: Villaizán-Vallelado, Mario, et al.
Published: (2024)

Addressing Multilabel Imbalance with an Efficiency-Focused Approach Using Diffusion Model-Generated Synthetic Samples
by: Charte, Francisco, et al.
Published: (2025)

Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
by: Wang, Junfei, et al.
Published: (2025)

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs
by: Atwal, Tevin, et al.
Published: (2025)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)

Quality-Diversity Generative Sampling for Learning with Synthetic Data
by: Chang, Allen, et al.
Published: (2023)

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
by: Deng, Bowen, et al.
Published: (2025)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
by: Li, Bingdong, et al.
Published: (2024)

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion
by: Nair, Lakshmi
Published: (2024)

Generating Synthetic Malware Samples Using Generative AI
by: Bao, Tiffany, et al.
Published: (2026)

Generating Synthetic Net Load Data with Physics-informed Diffusion Model
by: Zhang, Shaorong, et al.
Published: (2024)

Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
by: Puttanawarut, Chanon, et al.
Published: (2025)

Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
by: Moslemi, Abolfazl, et al.
Published: (2025)

Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance
by: Chen, Ziqi, et al.
Published: (2025)

Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization
by: Hong, Seong-Hyun, et al.
Published: (2024)

RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
by: Gaiński, Piotr, et al.
Published: (2024)

The Emergence of Reproducibility and Generalizability in Diffusion Models
by: Zhang, Huijie, et al.
Published: (2023)

SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models
by: Dai, Zeyu, et al.
Published: (2025)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
by: Zeng, Hao, et al.
Published: (2024)

Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)

DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
by: Liu, Jinxin, et al.
Published: (2024)

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms
by: Havrilla, Alex, et al.
Published: (2025)

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models
by: Tang, Jiaqi, et al.
Published: (2025)

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
by: Brockschmidt, Marie, et al.
Published: (2025)

DexDiffuser: Generating Dexterous Grasps with Diffusion Models
by: Weng, Zehang, et al.
Published: (2024)

Steering Dynamical Regimes of Diffusion Models by Breaking Detailed Balance
by: Lu, Haiqi, et al.
Published: (2026)

Population Aware Diffusion for Time Series Generation
by: Li, Yang, et al.
Published: (2025)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)

DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
by: Lamott, Marcel, et al.
Published: (2026)

Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
by: Neekhra, Bhavesh, et al.
Published: (2023)

Synthetic EEG Generation using Diffusion Models for Motor Imagery Tasks
by: Alexandre, Henrique de Lima, et al.
Published: (2025)

Self-Improving Diffusion Models with Synthetic Data
by: Alemohammad, Sina, et al.
Published: (2024)

Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models
by: Tian, Muhang, et al.
Published: (2023)

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection
by: Deshpande, Vijeta, et al.
Published: (2026)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
by: Tang, Wenpin, et al.
Published: (2026)

General OOD Detection via Model-aware and Subspace-aware Variable Priority
by: Lu, Min, et al.
Published: (2025)