Cover Image

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zeming, Liu, Xiangyue, Zhang, Xiangyu, Tan, Ping, Shum, Heung-Yeung
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation
by: Cheng, Shuang, et al.
Published: (2025)

VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
by: Mascolini, Alessio, et al.
Published: (2024)

SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
by: Li, Zekun, et al.
Published: (2026)

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
by: Song, Bowen, et al.
Published: (2025)

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
by: Meng, Li, et al.
Published: (2022)

NoiseFormer -- Noise Diffused Symmetric Attention Transformer
by: Kumar, Phani, et al.
Published: (2026)

Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
by: Wen, Ziqing, et al.
Published: (2026)

Nested AutoRegressive Models
by: Wu, Hongyu, et al.
Published: (2025)

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
by: Liu, Jingyi, et al.
Published: (2024)

A Comprehensive Review on Noise Control of Diffusion Model
by: Guo, Zhehao, et al.
Published: (2025)

From Noise to Control: Parameterized Diffusion Policies
by: Zhang, Renhao, et al.
Published: (2026)

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)

Noise Stability of Transformer Models
by: Haris, Themistoklis, et al.
Published: (2026)

Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
by: Pei, Jianhua, et al.
Published: (2024)

Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
by: Tang, Zhiwei, et al.
Published: (2024)

ANT: Adaptive Noise Schedule for Time Series Diffusion Models
by: Lee, Seunghan, et al.
Published: (2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)

LinkD: AutoRegressive Diffusion Model for Mechanical Linkage Synthesis
by: Jadhav, Yayati, et al.
Published: (2026)

Large Investment Model
by: Guo, Jian, et al.
Published: (2024)

Policy Filtration for RLHF to Mitigate Noise in Reward Models
by: Zhang, Chuheng, et al.
Published: (2024)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
by: Jiralerspong, Thomas, et al.
Published: (2025)

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
by: Gao, Wentao, et al.
Published: (2025)

Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
by: Lovelace, Justin, et al.
Published: (2026)

Noise Balance and Stationary Distribution of Stochastic Gradient Descent
by: Ziyin, Liu, et al.
Published: (2023)

Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
by: Yuan, Bo, et al.
Published: (2025)

Privacy Attacks on Image AutoRegressive Models
by: Kowalczuk, Antoni, et al.
Published: (2025)

Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence
by: Tan, Xiaoyu, et al.
Published: (2024)

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Liu, Shuze Daniel, et al.
Published: (2024)

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
by: Mayet, Tsiry, et al.
Published: (2023)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
by: Liu, Yuequn, et al.
Published: (2023)

FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
by: Li, Jiaoyang, et al.
Published: (2025)

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
by: Ye, Jiasheng, et al.
Published: (2023)

Infinite-Resolution Integral Noise Warping for Diffusion Models
by: Deng, Yitong, et al.
Published: (2024)

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
by: Zhang, Zhenkai, et al.
Published: (2023)

Contrastive Learning with Nasty Noise
by: Zhao, Ziruo
Published: (2025)

LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
by: Tang, Beilong, et al.
Published: (2025)

Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
by: Zhang, Kuan, et al.
Published: (2025)

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
by: Xiao, Jing, et al.
Published: (2026)

Seeking Physics in Diffusion Noise
by: Tang, Chujun, et al.
Published: (2026)