Guardado en:
| Autores principales: | Huang, Jianing, Zhang, Kaixuan, Wu, Youjia, Cheng, Ze |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2504.00510 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
por: Cheng, Pengcheng
Publicado: (2026)
por: Cheng, Pengcheng
Publicado: (2026)
From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining
por: Zhang, Zhizhou, et al.
Publicado: (2025)
por: Zhang, Zhizhou, et al.
Publicado: (2025)
OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
por: Wang, Zhuoyuan, et al.
Publicado: (2026)
por: Wang, Zhuoyuan, et al.
Publicado: (2026)
DiffusionPDE: Generative PDE-Solving Under Partial Observation
por: Huang, Jiahe, et al.
Publicado: (2024)
por: Huang, Jiahe, et al.
Publicado: (2024)
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
por: Li, Edward, et al.
Publicado: (2025)
por: Li, Edward, et al.
Publicado: (2025)
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
por: Roy, Samrendra, et al.
Publicado: (2026)
por: Roy, Samrendra, et al.
Publicado: (2026)
SFO: Learning PDE Operators via Spectral Filtering
por: Koren, Noam, et al.
Publicado: (2026)
por: Koren, Noam, et al.
Publicado: (2026)
CATO: Charted Attention for Neural PDE Operators
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
Humanoid-inspired Causal Representation Learning for Domain Generalization
por: Tao, Ze, et al.
Publicado: (2025)
por: Tao, Ze, et al.
Publicado: (2025)
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
por: Hou, Xianglong, et al.
Publicado: (2025)
por: Hou, Xianglong, et al.
Publicado: (2025)
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
por: Cheng, Ze, et al.
Publicado: (2025)
por: Cheng, Ze, et al.
Publicado: (2025)
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
por: Huang, Yu-Hao, et al.
Publicado: (2025)
por: Huang, Yu-Hao, et al.
Publicado: (2025)
When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
por: Yee, Brandon, et al.
Publicado: (2026)
por: Yee, Brandon, et al.
Publicado: (2026)
From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
por: Liu, Lei, et al.
Publicado: (2025)
por: Liu, Lei, et al.
Publicado: (2025)
DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
por: Yoo, Seungwoo, et al.
Publicado: (2026)
por: Yoo, Seungwoo, et al.
Publicado: (2026)
When Is Rank-1 Steering Cheap? Geometry, Granularity, and Budgeted Search
por: Robertson, John T., et al.
Publicado: (2026)
por: Robertson, John T., et al.
Publicado: (2026)
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
por: Cheng, Ze, et al.
Publicado: (2024)
por: Cheng, Ze, et al.
Publicado: (2024)
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2
por: Chervonyi, Yuri, et al.
Publicado: (2025)
por: Chervonyi, Yuri, et al.
Publicado: (2025)
From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
por: Li, Zhihao, et al.
Publicado: (2026)
por: Li, Zhihao, et al.
Publicado: (2026)
Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
por: Song, Haoze, et al.
Publicado: (2026)
por: Song, Haoze, et al.
Publicado: (2026)
Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
por: Li, Guangli, et al.
Publicado: (2025)
por: Li, Guangli, et al.
Publicado: (2025)
Data Valuation and Selection in a Federated Model Marketplace
por: Li, Wenqian, et al.
Publicado: (2025)
por: Li, Wenqian, et al.
Publicado: (2025)
A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
por: He, Cheng, et al.
Publicado: (2025)
por: He, Cheng, et al.
Publicado: (2025)
Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code
por: Song, Zhenghan, et al.
Publicado: (2026)
por: Song, Zhenghan, et al.
Publicado: (2026)
SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
por: Li, Siyang, et al.
Publicado: (2025)
por: Li, Siyang, et al.
Publicado: (2025)
Solving Formal Math Problems by Decomposition and Iterative Reflection
por: Zhou, Yichi, et al.
Publicado: (2025)
por: Zhou, Yichi, et al.
Publicado: (2025)
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
por: Balestriero, Randall, et al.
Publicado: (2023)
por: Balestriero, Randall, et al.
Publicado: (2023)
Where to Add PDE Diffusion in Transformers
por: Zhang, Yukun, et al.
Publicado: (2025)
por: Zhang, Yukun, et al.
Publicado: (2025)
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
por: Yang, Liu, et al.
Publicado: (2024)
por: Yang, Liu, et al.
Publicado: (2024)
Topology-Preserving Neural Operator Learning via Hodge Decomposition
por: Zheng, Dongzhe, et al.
Publicado: (2026)
por: Zheng, Dongzhe, et al.
Publicado: (2026)
Coefficient Decomposition for Spectral Graph Convolution
por: Huang, Feng, et al.
Publicado: (2024)
por: Huang, Feng, et al.
Publicado: (2024)
Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains
por: Prabhakar, Nikhilesh, et al.
Publicado: (2025)
por: Prabhakar, Nikhilesh, et al.
Publicado: (2025)
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
por: Zhang, Jianzhang, et al.
Publicado: (2025)
por: Zhang, Jianzhang, et al.
Publicado: (2025)
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
por: Zhou, Hang, et al.
Publicado: (2024)
por: Zhou, Hang, et al.
Publicado: (2024)
Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators
por: Baheri, Ali, et al.
Publicado: (2026)
por: Baheri, Ali, et al.
Publicado: (2026)
Generative Latent Neural PDE Solver using Flow Matching
por: Li, Zijie, et al.
Publicado: (2025)
por: Li, Zijie, et al.
Publicado: (2025)
Domain Adversarial Active Learning for Domain Generalization Classification
por: Chen, Jianting, et al.
Publicado: (2024)
por: Chen, Jianting, et al.
Publicado: (2024)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
por: Wu, Xinghao, et al.
Publicado: (2024)
por: Wu, Xinghao, et al.
Publicado: (2024)
DGSense: A Domain Generalization Framework for Wireless Sensing
por: Zhou, Rui, et al.
Publicado: (2025)
por: Zhou, Rui, et al.
Publicado: (2025)
Ejemplares similares
-
Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
por: Cheng, Pengcheng
Publicado: (2026) -
From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining
por: Zhang, Zhizhou, et al.
Publicado: (2025) -
OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
por: Wang, Zhuoyuan, et al.
Publicado: (2026) -
DiffusionPDE: Generative PDE-Solving Under Partial Observation
por: Huang, Jiahe, et al.
Publicado: (2024) -
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
por: Li, Edward, et al.
Publicado: (2025)