:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yusuf, Amman, Jiang, Zhejun, Park, Mijung
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.08116
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training-Free Safe Denoisers for Safe Use of Diffusion Models
by: Kim, Mingyu, et al.
Published: (2025)

Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
by: Park, Jinseong, et al.
Published: (2025)

Text-Aware Image Restoration with Diffusion Models
by: Min, Jaewon, et al.
Published: (2025)

SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
by: Jeon, Jinsung, et al.
Published: (2022)

Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization
by: Xue, Yuan, et al.
Published: (2026)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
by: Nam, Hyelin, et al.
Published: (2023)

Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
by: Na, Byeonghu, et al.
Published: (2025)

Revisiting Bayesian Model Averaging in the Era of Foundation Models
by: Park, Mijung
Published: (2025)

Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation
by: Graves, Reid, et al.
Published: (2024)

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
by: Tang, Xiaohang, et al.
Published: (2026)

Object-centric Denoising Diffusion Models for Physical Reasoning
by: Lange, Moritz, et al.
Published: (2025)

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2026)

Memorization Control in Diffusion Models from Denoising-centric Perspective
by: Vu, Thuy Phuong, et al.
Published: (2026)

Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
by: Na, Byeonghu, et al.
Published: (2025)

DDTR: Diffusion Denoising Trace Recovery
by: Matyash, Maximilian, et al.
Published: (2025)

Manifold Aware Denoising Score Matching (MAD)
by: Levy-Jurgenson, Alona, et al.
Published: (2026)

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
by: Kosman, Eitan, et al.
Published: (2026)

Generative Modeling of Networked Time-Series via Transformer Architectures
by: Elnady, Yusuf
Published: (2025)

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
by: Dobhal, Umang, et al.
Published: (2026)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
by: Rector-Brooks, Jarrid, et al.
Published: (2024)

Denoising-Aware Contrastive Learning for Noisy Time Series
by: Zhou, Shuang, et al.
Published: (2024)

Mixed-State Quantum Denoising Diffusion Probabilistic Model
by: Kwun, Gino, et al.
Published: (2024)

Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
by: Wang, Mengxuan, et al.
Published: (2026)

RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
by: Liang, Jiacheng, et al.
Published: (2026)

DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
by: Wen, Yizhu, et al.
Published: (2024)

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
by: Xu, Can, et al.
Published: (2024)

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
by: Lu, Rui, et al.
Published: (2025)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
by: Sturman, Olivia, et al.
Published: (2024)

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
by: Zhang, Jiawei, et al.
Published: (2024)

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

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
by: Xu, Jian, et al.
Published: (2024)

Speculative Safety-Aware Decoding
by: Wang, Xuekang, et al.
Published: (2025)

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion
by: Berry, Lucas, et al.
Published: (2025)

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
by: Liu, Yonghao, et al.
Published: (2026)

Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
by: Wang, Kunyun, et al.
Published: (2025)

Text-Aware Diffusion for Policy Learning
by: Luo, Calvin, et al.
Published: (2024)

Empowering Diffusion Models on the Embedding Space for Text Generation
by: Gao, Zhujin, et al.
Published: (2022)

Text-to-Level Diffusion Models With Various Text Encoders for Super Mario Bros
by: Schrum, Jacob, et al.
Published: (2025)

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)

Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
by: Lee, Sanghyun, et al.
Published: (2025)