Noise scheduling and linear dynamics in diffusion models on Lie groups

2026-05-17 · Javad Komijani arxiv

We investigate the role of the noise schedule in diffusion processes on Lie groups, with particular emphasis on applications to lattice gauge theory. We show that a specific noise schedule leads to a linear decay of the expectation value of the Wilson action as a function of diffusion time. We compare this with Euclidean diffusion models, where such behavior requires an explicitly designed drift term, while in the Lie-group setting it arises naturally.

📄 PDF Abstract BibTeX arXiv:2605.17326

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Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data

2025-08-01 · Timur Sattarov, Marco Schreyer, Damian Borth arxiv

Anomaly detection in tabular data remains challenging due to complex feature interactions and the scarcity of anomalous examples. Denoising autoencoders rely on fixed-magnitude noise, limiting adaptability to diverse dat…

Contrastive Learning Anomaly Detection

Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling

2024-02-04 · Wenxuan Fang, Wei Du, Renchu He, Yang Tang 외

Gasoline blending scheduling uses resource allocation and operation sequencing to meet a refinery's production requirements. The presence of nonlinearity, integer constraints, and a large number of decision variables add…

Evolutionary Algorithms Multiobjective Optimization Scheduling

Formalizing the Sampling Design Space of Diffusion-Based Generative Models via Adaptive Solvers and Wasserstein-Bounded Timesteps

2026-02-13 · Sangwoo Jo, Sungjoon Choi arxiv

Diffusion-based generative models have achieved remarkable performance across various domains, yet their practical deployment is often limited by high sampling costs. While prior work focuses on training objectives or in…

Adaptive Linear Path Model-Based Diffusion

2026-02-02 · Yutaka Shimizu, Masayoshi Tomizuka arxiv

The interest in combining model-based control approaches with diffusion models has been growing. Although we have seen many impressive robotic control results in difficult tasks, the performance of diffusion models is hi…

Reinforcement Learning

On the Importance of Noise Scheduling for Diffusion Models

2023-01-26 · Ting Chen

We empirically study the effect of noise scheduling strategies for denoising diffusion generative models. There are three findings: (1) the noise scheduling is crucial for the performance, and the optimal one depends on …

Denoising Scheduling