Cover Image

Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Siyang, Chen, Yize, Guo, Yan, Huang, Ming, Xiong, Hui
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning
by: Li, Siyang, et al.
Published: (2026)

STO-RL: Offline RL under Sparse Rewards via LLM-Guided Subgoal Temporal Order
by: Gu, Chengyang, et al.
Published: (2026)

Towards Generalizable Human Activity Recognition: A Survey
by: Cai, Yize, et al.
Published: (2025)

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
by: Li, Siyang, et al.
Published: (2024)

DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load
by: Li, Siyang, et al.
Published: (2024)

Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
by: Su, Jiajie, et al.
Published: (2026)

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
by: Chi, Jinjin, et al.
Published: (2026)

SEAL: SEmantic-Augmented Imitation Learning via Language Model
by: Gu, Chengyang, et al.
Published: (2024)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
by: Luo, Yingtao, et al.
Published: (2025)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)

Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
by: Yan, Kangjia, et al.
Published: (2025)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
by: Zhang, Zeyang, et al.
Published: (2024)

Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
by: Li, Xiaodan, et al.
Published: (2025)

CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
by: Hou, Xianglong, et al.
Published: (2025)

GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
by: Xiong, Heng, et al.
Published: (2024)

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
by: Shao, Chen, et al.
Published: (2025)

Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
by: Tian, Yuxing, et al.
Published: (2026)

Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
by: Qi, Jiaxin, et al.
Published: (2026)

SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)

OLMA: One Loss for More Accurate Time Series Forecasting
by: Shi, Tianyi, et al.
Published: (2025)

SFO: Learning PDE Operators via Spectral Filtering
by: Koren, Noam, et al.
Published: (2026)

BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics
by: Wu, Hao, et al.
Published: (2024)

Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
by: Huang, KaiHui, et al.
Published: (2025)

MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting
by: Zhang, Hu, et al.
Published: (2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
by: Feng, Lang, et al.
Published: (2025)

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)

Airport Passenger Flow Forecasting via Deformable Temporal-Spectral Transformer Approach
by: Du, Wenbo, et al.
Published: (2025)

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
by: Li, Huayu, et al.
Published: (2023)

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
by: Huang, Jianing, et al.
Published: (2025)

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches
by: Feng, Mingquan, et al.
Published: (2025)

Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems
by: Spotorno, Enzo Nicolás, et al.
Published: (2025)

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)

Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
by: Zhang, Zhiguo, et al.
Published: (2025)

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability
by: Xu, Chenhui, et al.
Published: (2025)

Wavelet Mixture of Experts for Time Series Forecasting
by: Zhou, Zheng, et al.
Published: (2025)

Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
by: Zhang, Yukun, et al.
Published: (2025)

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
by: Cao, Hongpeng, et al.
Published: (2023)

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
by: Zhou, Hang, et al.
Published: (2024)