Cover Image

Optimization Benchmark for Diffusion Models on Dynamical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Schaipp, Fabian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
by: Schaipp, Fabian, et al.
Published: (2025)

Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
by: Schaipp, Fabian, et al.
Published: (2026)

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
by: Milzarek, Andre, et al.
Published: (2022)

Tracking the Median of Gradients with a Stochastic Proximal Point Method
by: Schaipp, Fabian, et al.
Published: (2024)

Diffusion Model for Data-Driven Black-Box Optimization
by: Li, Zihao, et al.
Published: (2024)

Model-Based Diffusion for Trajectory Optimization
by: Pan, Chaoyi, et al.
Published: (2024)

A First-order Generative Bilevel Optimization Framework for Diffusion Models
by: Xiao, Quan, et al.
Published: (2025)

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
by: Jakob, Fabian, et al.
Published: (2025)

Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
by: Zhang, Fangzhao, et al.
Published: (2024)

Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
by: Zhou, Quan, et al.
Published: (2020)

Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms
by: Jinng, Yunpeng, et al.
Published: (2024)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)

Diffusion Stochastic Optimization for Min-Max Problems
by: Cai, Haoyuan, et al.
Published: (2024)

Online Dynamic Submodular Optimization
by: Lesage-Landry, Antoine, et al.
Published: (2023)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
by: Graebner, Jannik, et al.
Published: (2024)

Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks
by: Badilla, Fabian, et al.
Published: (2023)

NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
by: Anzaki, Ryoji, et al.
Published: (2024)

Constructing Industrial-Scale Optimization Modeling Benchmark
by: Li, Zhong, et al.
Published: (2026)

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
by: Zhou, Chenchen, et al.
Published: (2026)

Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)

Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
by: Xie, Yan-Feng, et al.
Published: (2026)

Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization
by: Reifenstein, Sam, et al.
Published: (2024)

Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers
by: Crafts, Evan Scope, et al.
Published: (2025)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
by: He, Zhiyu, et al.
Published: (2025)

PACE: Prune-And-Compress Ensemble Models
by: Akkerman, Fabian, et al.
Published: (2026)

On the Interpolation Effect of Score Smoothing in Diffusion Models
by: Chen, Zhengdao
Published: (2025)

A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints
by: Chen, Xi, et al.
Published: (2024)

Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials
by: Chen, August Y., et al.
Published: (2024)

SpectraLDS: Provable Distillation for Linear Dynamical Systems
by: Shah, Devan, et al.
Published: (2025)

A New Approach to Controlling Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
by: Suttle, Wesley A., et al.
Published: (2024)

Manifold Regularization Classification Model Based On Improved Diffusion Map
by: Guo, Hongfu, et al.
Published: (2024)

Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)

Stability of Data-Dependent Ridge-Regularization for Inverse Problems
by: Neumayer, Sebastian, et al.
Published: (2024)

Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)

Efficient Spectral Control of Partially Observed Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)

An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems
by: Bao, Feng, et al.
Published: (2023)

Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret
by: Hua, Youqing, et al.
Published: (2024)

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
by: Han, Yinbin, et al.
Published: (2024)