:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lyu, Jinhua, Yu, Tianmin, Kim, Brian, Zhou, Lizhuo, Park, Chanwook, Shi, Naichen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.09275
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Mean-Field Variational Inference via Preconditioned Primal-Dual Optimization
by: Lyu, Jinhua, et al.
Published: (2026)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)

Personalized PCA: Decoupling Shared and Unique Features
by: Shi, Naichen, et al.
Published: (2022)

Coupled Flow Matching
by: Cai, Wenxi, et al.
Published: (2025)

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
by: Wei, Lifu, et al.
Published: (2026)

Causal Discovery from Heteroscedastic Stochastic Dynamical Systems under Imperfect Physical Models
by: Chen, Jianhong, et al.
Published: (2026)

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
by: Shi, Naichen, et al.
Published: (2024)

Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
by: Batley, Reza T., et al.
Published: (2025)

Calibrated Principal Component Regression
by: Wu, Yixuan Florence, et al.
Published: (2025)

Domain Generalization Under Posterior Drift
by: Zhu, Yilun, et al.
Published: (2025)

SummDiff: Generative Modeling of Video Summarization with Diffusion
by: Kim, Kwanseok, et al.
Published: (2025)

DiffListener: Discrete Diffusion Model for Listener Generation
by: Jung, Siyeol, et al.
Published: (2025)

WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
by: Wang, Yu-Hsiang, et al.
Published: (2025)

DiffPuter: Empowering Diffusion Models for Missing Data Imputation
by: Zhang, Hengrui, et al.
Published: (2024)

Conformal Inference for Open-Set and Imbalanced Classification
by: Xie, Tianmin, et al.
Published: (2025)

Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening
by: Lyu, Jiaqing, et al.
Published: (2024)

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
by: Shi, Juntong, et al.
Published: (2024)

FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling
by: Wang, Sifan, et al.
Published: (2025)

PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
by: Yuan, Xinyu, et al.
Published: (2026)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
by: Guan, Jiaqi, et al.
Published: (2024)

RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
by: Hudovernik, Valter, et al.
Published: (2025)

An entropy formula for the Deep Linear Network
by: Menon, Govind, et al.
Published: (2025)

DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
by: Ko, Donggeun, et al.
Published: (2024)

DiffER: Categorical Diffusion for Chemical Retrosynthesis
by: Current, Sean, et al.
Published: (2025)

Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
by: Bu, Tianci, et al.
Published: (2025)

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2023)

Tensor Product Neural Networks for Functional ANOVA Model
by: Park, Seokhun, et al.
Published: (2025)

DiffBreak: Is Diffusion-Based Purification Robust?
by: Kassis, Andre, et al.
Published: (2024)

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
by: Shan, Zhao, et al.
Published: (2024)

SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
by: Zhang, Leo, et al.
Published: (2024)

TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation
by: Zhang, Xiao, et al.
Published: (2025)

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
by: Pan, Jiayi, et al.
Published: (2025)

DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
by: Kim, Sungnyun, et al.
Published: (2023)

Exploring Representation-Aligned Latent Space for Better Generation
by: Xu, Wanghan, et al.
Published: (2025)

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
by: Namekata, Koichi, et al.
Published: (2024)

Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems
by: Liang, Ziyi, et al.
Published: (2024)

On Diffusion Process in SE(3)-invariant Space
by: Zhou, Zihan, et al.
Published: (2024)

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
by: Qing, Yunpeng, et al.
Published: (2025)

DiffGRM: Diffusion-based Generative Recommendation Model
by: Liu, Zhao, et al.
Published: (2025)