Image de couverture de livre

A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yuchen, Zhao, Hongjue, Lin, Haohong, Xu, Enze, He, Lifang, Shao, Huajie
Format:	Preprint
Publié:	2025
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

Scalable Neural Symbolic Regression using Control Variables
par: Chu, Xieting, et autres
Publié: (2023)

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
par: Wang, Yuchen, et autres
Publié: (2026)

Query-Centric Diffusion Policy for Generalizable Robotic Assembly
par: Xu, Ziyi, et autres
Publié: (2025)

A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving
par: Zong, Zhenyu, et autres
Publié: (2026)

CAT: Interpretable Concept-based Taylor Additive Models
par: Duong, Viet, et autres
Publié: (2024)

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
par: Shao, Zezhi, et autres
Publié: (2023)

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
par: Lin, Haohong, et autres
Publié: (2024)

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
par: Le, Hung, et autres
Publié: (2025)

AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging
par: Zhao, Gaoxiang, et autres
Publié: (2024)

Latent Generative Solvers for Generalizable Long-Term Physics Simulation
par: Chen, Zituo, et autres
Publié: (2026)

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
par: Liang, Daojun, et autres
Publié: (2023)

Environment Inference for Learning Generalizable Dynamical System
par: Liu, Shixuan, et autres
Publié: (2025)

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
par: Ding, Zifeng, et autres
Publié: (2024)

Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly
par: Lin, Haohong, et autres
Publié: (2024)

KOSS: Kalman-Optimal Selective State Spaces for Long-Term Sequence Modeling
par: Wang, Lei, et autres
Publié: (2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
par: Shen, ChengAo, et autres
Publié: (2025)

Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
par: Xiong, Qi, et autres
Publié: (2024)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
par: Özalp, Elise, et autres
Publié: (2023)

Beyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical Systems
par: Vlachas, Pantelis R., et autres
Publié: (2025)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
par: Ma'sum, Muhammad Anwar, et autres
Publié: (2024)

A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction
par: Jing, Danning, et autres
Publié: (2026)

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
par: Wang, Shiyu, et autres
Publié: (2024)

Enhancing Compositional Generalization via Compositional Feature Alignment
par: Wang, Haoxiang, et autres
Publié: (2024)

Frequency-Constrained Learning for Long-Term Forecasting
par: Kong, Menglin, et autres
Publié: (2025)

AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
par: Li, Qianyang, et autres
Publié: (2025)

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
par: Zhao, Yuang, et autres
Publié: (2024)

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
par: Wang, Xinyu, et autres
Publié: (2025)

Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
par: Li, Siyang, et autres
Publié: (2025)

Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting
par: Misba, Walid Al, et autres
Publié: (2023)

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting
par: Zeng, Chaolv, et autres
Publié: (2024)

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
par: Ahmad, Owais, et autres
Publié: (2025)

RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments
par: Pan, Enze
Publié: (2026)

Long-Term PM2.5 Forecasting Using a DTW-Enhanced CNN-GRU Model
par: Naeini, Amirali Ataee, et autres
Publié: (2025)

A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
par: Gao, Boshi, et autres
Publié: (2025)

CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
par: Sonmezer, Mert, et autres
Publié: (2025)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
par: Zhao, Shubao, et autres
Publié: (2024)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
par: Kong, Yaxuan, et autres
Publié: (2024)

Loss Shaping Constraints for Long-Term Time Series Forecasting
par: Hounie, Ignacio, et autres
Publié: (2024)

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
par: Cai, Xiuding, et autres
Publié: (2024)

Automatic Camera Trajectory Control with Enhanced Immersion for Virtual Cinematography
par: Wu, Xinyi, et autres
Publié: (2023)