Cover Image

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Shuchen, Yi, Mingyang, Luo, Weijian, Zhang, Shifeng, Sun, Jiacheng, Li, Zhenguo, Ma, Zhi-Ming
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
by: Li, Shengming, et al.
Published: (2023)

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
by: Luo, Weijian, et al.
Published: (2023)

Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
by: Lu, Cheng, et al.
Published: (2022)

Accelerating Diffusion Sampling with Optimized Time Steps
by: Xue, Shuchen, et al.
Published: (2024)

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
by: Xue, Shuchen, et al.
Published: (2025)

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
by: Ma, Jiajun, et al.
Published: (2024)

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
by: Xie, Tianyu, et al.
Published: (2025)

Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
by: Xue, Shuchen, et al.
Published: (2025)

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
by: Shaul, Neta, et al.
Published: (2024)

Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers
by: Xu, Tongda, et al.
Published: (2024)

S4S: Solving for a Diffusion Model Solver
by: Frankel, Eric, et al.
Published: (2025)

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025)

Better Neural PDE Solvers Through Data-Free Mesh Movers
by: Hu, Peiyan, et al.
Published: (2023)

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
by: Huang, Daniel Zhengyu, et al.
Published: (2025)

Image Diffusion Preview with Consistency Solver
by: Wang, Fu-Yun, et al.
Published: (2025)

Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
by: Yi, Mingyang, et al.
Published: (2024)

Visual Diffusion Models are Geometric Solvers
by: Goren, Nir, et al.
Published: (2025)

Transolver: A Fast Transformer Solver for PDEs on General Geometries
by: Wu, Haixu, et al.
Published: (2024)

Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2026)

Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
by: Kiyohara, Naoki, et al.
Published: (2025)

Towards Fast Stochastic Sampling in Diffusion Generative Models
by: Pandey, Kushagra, et al.
Published: (2024)

Efficient Decoder Scaling Strategy for Neural Routing Solvers
by: Luo, Qing, et al.
Published: (2026)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
by: Ren, Yinuo, et al.
Published: (2025)

Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
by: Zhang, Rui, et al.
Published: (2023)

NPSolver: Neural Poisson Solver with Iterative Physics Supervision
by: Zeng, Bocheng, et al.
Published: (2026)

Dynamical Measure Transport and Neural PDE Solvers for Sampling
by: Sun, Jingtong, et al.
Published: (2024)

Graffe: Graph Representation Learning via Diffusion Probabilistic Models
by: Chen, Dingshuo, et al.
Published: (2025)

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models
by: Li, Anjian, et al.
Published: (2026)

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
by: Lin, Junchao, et al.
Published: (2024)

Towards Universal Solvers: Using PGD Attack in Active Learning to Increase Generalizability of Neural Operators as Knowledge Distillation from Numerical PDE Solvers
by: Sun, Yifei
Published: (2025)

Injecting Measurement Information Yields a Fast and Noise-Robust Diffusion-Based Inverse Problem Solver
by: Patsenker, Jonathan, et al.
Published: (2025)

Faster Local Solvers for Graph Diffusion Equations
by: Bai, Jiahe, et al.
Published: (2024)

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
by: Ou, Jingyang, et al.
Published: (2024)

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

Provable Adaptivity of Adam under Non-uniform Smoothness
by: Wang, Bohan, et al.
Published: (2022)

An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem
by: Guo, Runze, et al.
Published: (2024)

Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers
by: Qiu, Xiaoyu, et al.
Published: (2026)

Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
by: Blasingame, Zander W., et al.
Published: (2025)

Differentiation of Blackbox Combinatorial Solvers
by: Vlastelica, Marin, et al.
Published: (2019)