Saved in:
| Main Authors: | Chen, Zituo, Deng, Sili |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11229 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025)
by: Chen, Zituo, et al.
Published: (2025)
3-D Representations for Hyperspectral Flame Tomography
by: Tricard, Nicolas, et al.
Published: (2026)
by: Tricard, Nicolas, et al.
Published: (2026)
GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting
by: Wang, Linzheng, et al.
Published: (2026)
by: Wang, Linzheng, et al.
Published: (2026)
Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025)
by: Liu, Wenzhao, et al.
Published: (2025)
Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)
by: Li, Zijie, et al.
Published: (2025)
Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)
by: Wei, Zhao, et al.
Published: (2026)
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)
by: Huang, Sili, et al.
Published: (2024)
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
NPSolver: Neural Poisson Solver with Iterative Physics Supervision
by: Zeng, Bocheng, et al.
Published: (2026)
by: Zeng, Bocheng, et al.
Published: (2026)
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
by: Li, Zhonghao, et al.
Published: (2026)
by: Li, Zhonghao, et al.
Published: (2026)
Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)
by: Kim, Jeongsol, et al.
Published: (2023)
Long Term Memory: The Foundation of AI Self-Evolution
by: Jiang, Xun, et al.
Published: (2024)
by: Jiang, Xun, et al.
Published: (2024)
Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
by: Hu, Yifan, et al.
Published: (2024)
by: Hu, Yifan, et al.
Published: (2024)
RL + Transformer = A General-Purpose Problem Solver
by: Rentschler, Micah, et al.
Published: (2025)
by: Rentschler, Micah, et al.
Published: (2025)
Multi-head Temporal Latent Attention
by: Deng, Keqi, et al.
Published: (2025)
by: Deng, Keqi, et al.
Published: (2025)
Ambient Physics: Training Neural PDE Solvers with Partial Observations
by: Majid, Harris Abdul, et al.
Published: (2026)
by: Majid, Harris Abdul, et al.
Published: (2026)
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)
by: Guo, Siyuan, et al.
Published: (2023)
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
by: Hu, Jifeng, et al.
Published: (2024)
by: Hu, Jifeng, et al.
Published: (2024)
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
by: Li, Siyang, et al.
Published: (2025)
by: Li, Siyang, et al.
Published: (2025)
Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
by: Kim, Taewoon, et al.
Published: (2026)
by: Kim, Taewoon, et al.
Published: (2026)
Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows
by: Yan, Mengtao, et al.
Published: (2025)
by: Yan, Mengtao, et al.
Published: (2025)
PIS: A Generalized Physical Inversion Solver for Arbitrary Sparse Observations via Set Conditioned Flow Matching
by: Yang, Weijie, et al.
Published: (2025)
by: Yang, Weijie, et al.
Published: (2025)
Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models
by: Hou, Xuan, et al.
Published: (2025)
by: Hou, Xuan, et al.
Published: (2025)
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)
by: Li, Zhixuan, et al.
Published: (2025)
Generalizable Heuristic Generation Through LLMs with Meta-Optimization
by: Shi, Yiding, et al.
Published: (2025)
by: Shi, Yiding, et al.
Published: (2025)
Latent Diffusion Model for Generating Ensembles of Climate Simulations
by: Meuer, Johannes, et al.
Published: (2024)
by: Meuer, Johannes, et al.
Published: (2024)
Selecting Belief-State Approximations in Simulators with Latent States
by: Jiang, Nan
Published: (2025)
by: Jiang, Nan
Published: (2025)
Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024)
by: Zhao, Yuang, et al.
Published: (2024)
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation
by: Xiao, Jing, et al.
Published: (2025)
by: Xiao, Jing, et al.
Published: (2025)
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning
by: Mohammadi, Esmaeel, et al.
Published: (2024)
by: Mohammadi, Esmaeel, et al.
Published: (2024)
Data Augmentation Policy Search for Long-Term Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)
by: Nochumsohn, Liran, et al.
Published: (2024)
There are no Champions in Supervised Long-Term Time Series Forecasting
by: Brigato, Lorenzo, et al.
Published: (2025)
by: Brigato, Lorenzo, et al.
Published: (2025)
xLSTM: Extended Long Short-Term Memory
by: Beck, Maximilian, et al.
Published: (2024)
by: Beck, Maximilian, et al.
Published: (2024)
Impatient Bandits: Optimizing for the Long-Term Without Delay
by: Zhang, Kelly W., et al.
Published: (2025)
by: Zhang, Kelly W., et al.
Published: (2025)
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
by: Hu, Junfeng, et al.
Published: (2021)
by: Hu, Junfeng, et al.
Published: (2021)
RLLTE: Long-Term Evolution Project of Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2023)
by: Yuan, Mingqi, et al.
Published: (2023)
XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
by: Li, Zijie, et al.
Published: (2024)
by: Li, Zijie, et al.
Published: (2024)
Similar Items
-
Flow marching for a generative PDE foundation model
by: Chen, Zituo, et al.
Published: (2025) -
3-D Representations for Hyperspectral Flame Tomography
by: Tricard, Nicolas, et al.
Published: (2026) -
GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting
by: Wang, Linzheng, et al.
Published: (2026) -
Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025) -
Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)