:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Hao, Zhou, Di, Slonim, Donna
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2604.02250
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
by: Shpilevskiy, Frederick, et al.
Published: (2025)

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift
by: Hedayatnia, Ali, et al.
Published: (2025)

Causality in Video Diffusers is Separable from Denoising
by: Bai, Xingjian, et al.
Published: (2026)

Step-level Denoising-time Diffusion Alignment with Multiple Objectives
by: Zhang, Qi, et al.
Published: (2026)

Simple Denoising Diffusion Language Models
by: Zhu, Huaisheng, et al.
Published: (2025)

Learning to Discretize Denoising Diffusion ODEs
by: Tong, Vinh, et al.
Published: (2024)

Latent Nonlinear Denoising Score Matching for Enhanced Learning of Structured Distributions
by: Shen, Kaichen, et al.
Published: (2025)

Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study
by: Gabriel, Franck, et al.
Published: (2025)

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
by: Meier, Dominik, et al.
Published: (2025)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)

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

From Denoising Diffusions to Denoising Markov Models
by: Benton, Joe, et al.
Published: (2022)

Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models
by: Tamir, Ella, et al.
Published: (2024)

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
by: Wang, Zixia, et al.
Published: (2025)

Denoising Particle Filters: Learning State Estimation with Single-Step Objectives
by: Röstel, Lennart, et al.
Published: (2026)

Sequential Change Point Detection via Denoising Score Matching
by: Zhou, Wenbin, et al.
Published: (2025)

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
by: Chen, Wei, et al.
Published: (2025)

Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off
by: Belousov, Yury, et al.
Published: (2025)

Efficient Causal Structure Learning via Modular Subgraph Integration
by: Sun, Haixiang, et al.
Published: (2026)

LOTION: Smoothing the Optimization Landscape for Quantized Training
by: Kwun, Mujin, et al.
Published: (2025)

Multi-Objective Causal Bayesian Optimization
by: Bhatija, Shriya, et al.
Published: (2025)

Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
by: Zhou, Yuqing, et al.
Published: (2024)

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

Improving Protein Optimization with Smoothed Fitness Landscapes
by: Kirjner, Andrew, et al.
Published: (2023)

Reinforcement Learning from Denoising Feedback
by: He, Qi, et al.
Published: (2026)

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
by: Chen, Cheng, et al.
Published: (2021)

Selective Denoising Diffusion Model for Time Series Anomaly Detection
by: Obata, Kohei, et al.
Published: (2026)

Structural and Convergence Analysis of Discrete-Time Denoising Diffusion Probabilistic Models
by: Nakano, Yumiharu
Published: (2024)

Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes
by: Kiselev, Nikita, et al.
Published: (2024)

LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization
by: Teng, Yunfei, et al.
Published: (2025)

Smooth Handovers via Smoothed Online Learning
by: Kalntis, Michail, et al.
Published: (2025)

Particle Denoising Diffusion Sampler
by: Phillips, Angus, et al.
Published: (2024)

Diffusion Denoiser-Aided Gyrocompassing
by: Ben-Arie, Gershy, et al.
Published: (2025)

You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
by: Yang, Tianmeng, et al.
Published: (2024)

On the Computational Landscape of Replicable Learning
by: Kalavasis, Alkis, et al.
Published: (2024)

Categorical Reparameterization with Denoising Diffusion models
by: Gourevitch, Samson, et al.
Published: (2026)

Riemannian Denoising Diffusion Probabilistic Models
by: Liu, Zichen, et al.
Published: (2025)

IB-GRPO: Aligning LLM-based Learning Path Recommendation with Educational Objectives via Indicator-Based Group Relative Policy Optimization
by: Wang, Shuai, et al.
Published: (2026)

Concentration Inequalities for Stochastic Optimization of Unbounded Objective Functions with Application to Denoising Score Matching
by: Birrell, Jeremiah
Published: (2025)