Image de couverture de livre

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Qunxi, Lin, Wei
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
par: Li, Xin, et autres
Publié: (2024)

Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
par: Zhang, Jingdong, et autres
Publié: (2024)

To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning
par: Ma, Tao, et autres
Publié: (2024)

SwitchTab: Switched Autoencoders Are Effective Tabular Learners
par: Wu, Jing, et autres
Publié: (2024)

Bayesian Gaussian Process ODEs via Double Normalizing Flows
par: Xu, Jian, et autres
Publié: (2023)

Governing equation discovery of a complex system from snapshots
par: Zhu, Qunxi, et autres
Publié: (2024)

Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
par: Gao, Xuefeng, et autres
Publié: (2024)

Ultra-Early Prediction of Tipping Points: Integrating Dynamical Measures with Reservoir Computing
par: Li, Xin, et autres
Publié: (2026)

Probabilistic Recurrent Intention Switching Model
par: Sheng, Wenyuan, et autres
Publié: (2026)

Regime-Switching Langevin Monte Carlo Algorithms
par: Wang, Xiaoyu, et autres
Publié: (2025)

On the Identifiability of Switching Dynamical Systems
par: Balsells-Rodas, Carles, et autres
Publié: (2023)

FAROS: Fair Graph Generation via Attribute Switching Mechanisms
par: Badaoui, Abdennacer, et autres
Publié: (2025)

FlowDA: Accurate, Low-Latency Weather Data Assimilation via Flow Matching
par: Cheng, Ran, et autres
Publié: (2026)

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models
par: Tang, Jiaqi, et autres
Publié: (2025)

Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
par: LU, Echo Diyun, et autres
Publié: (2025)

Adversarial Combinatorial Bandits with Switching Costs
par: Dong, Yanyan, et autres
Publié: (2024)

Dynamic Switch Layers For Unsupervised Learning
par: Li, Haiguang, et autres
Publié: (2024)

Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
par: Montreuil, Yannis, et autres
Publié: (2026)

Learning When to Switch: Adaptive Policy Selection via Reinforcement Learning
par: Tava, Chris
Publié: (2025)

AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems
par: Chen, Xi, et autres
Publié: (2025)

PI-Mamba: Linear-Time Protein Backbone Generation via Spectrally Initialized Flow Matching
par: Wu, Tianyu, et autres
Publié: (2026)

Sumudu Neural Operator for ODEs and PDEs
par: Zelenskiy, Ben, et autres
Publié: (2025)

Long Range Switching Time Series Prediction via State Space Model
par: Zhang, Jiaming, et autres
Publié: (2024)

Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters
par: Bhardwaj, Kartikeya, et autres
Publié: (2024)

SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals
par: Han, Peixuan, et autres
Publié: (2025)

Improving Neural ODEs via Knowledge Distillation
par: Chu, Haoyu, et autres
Publié: (2022)

Efficient Dictionary Learning with Switch Sparse Autoencoders
par: Mudide, Anish, et autres
Publié: (2024)

When Determinants Are Not Enough: Private Rare Switching
par: Zhou, Xingyu
Publié: (2026)

Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching
par: Xu, Xiuqin, et autres
Publié: (2021)

Reflected Flow Matching
par: Xie, Tianyu, et autres
Publié: (2024)

Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs
par: Duan, Chenguang, et autres
Publié: (2026)

Task Switching Without Forgetting via Proximal Decoupling
par: Shamsolmoali, Pourya, et autres
Publié: (2026)

Intelligent Switching for Reset-Free RL
par: Patil, Darshan, et autres
Publié: (2024)

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
par: Zheng, Kaiwen, et autres
Publié: (2023)

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models
par: Liu, Jing, et autres
Publié: (2024)

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
par: Chemingui, Yassine, et autres
Publié: (2024)

Dynamic Model Switching for Improved Accuracy in Machine Learning
par: Hasani, Syed Tahir Abbas
Publié: (2024)

Parameters Inference for Nonlinear Wave Equations with Markovian Switching
par: Zhang, Yi, et autres
Publié: (2024)

On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies
par: Balsells-Rodas, Carles, et autres
Publié: (2026)

A Switching Framework for Online Interval Scheduling with Predictions
par: Antoniadis, Antonios, et autres
Publié: (2025)