:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Jianing, Zhang, Kaixuan, Wu, Youjia, Cheng, Ze
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.00510
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
by: Cheng, Pengcheng
Published: (2026)

From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining
by: Zhang, Zhizhou, et al.
Published: (2025)

OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
by: Wang, Zhuoyuan, et al.
Published: (2026)

DiffusionPDE: Generative PDE-Solving Under Partial Observation
by: Huang, Jiahe, et al.
Published: (2024)

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
by: Li, Edward, et al.
Published: (2025)

SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
by: Roy, Samrendra, et al.
Published: (2026)

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

CATO: Charted Attention for Neural PDE Operators
by: Cheng, Chun-Wun, et al.
Published: (2026)

Humanoid-inspired Causal Representation Learning for Domain Generalization
by: Tao, Ze, et al.
Published: (2025)

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

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
by: Cheng, Ze, et al.
Published: (2025)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
by: Yee, Brandon, et al.
Published: (2026)

From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
by: Liu, Lei, et al.
Published: (2025)

DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
by: Yoo, Seungwoo, et al.
Published: (2026)

When Is Rank-1 Steering Cheap? Geometry, Granularity, and Budgeted Search
by: Robertson, John T., et al.
Published: (2026)

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
by: Cheng, Ze, et al.
Published: (2024)

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2
by: Chervonyi, Yuri, et al.
Published: (2025)

From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
by: Li, Zhihao, et al.
Published: (2026)

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
by: Song, Haoze, et al.
Published: (2026)

Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)

Data Valuation and Selection in a Federated Model Marketplace
by: Li, Wenqian, et al.
Published: (2025)

A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting
by: He, Cheng, et al.
Published: (2025)

Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code
by: Song, Zhenghan, et al.
Published: (2026)

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
by: Fu, Rong, et al.
Published: (2026)

Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
by: Li, Siyang, et al.
Published: (2025)

Solving Formal Math Problems by Decomposition and Iterative Reflection
by: Zhou, Yichi, et al.
Published: (2025)

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
by: Balestriero, Randall, et al.
Published: (2023)

Where to Add PDE Diffusion in Transformers
by: Zhang, Yukun, et al.
Published: (2025)

PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
by: Yang, Liu, et al.
Published: (2024)

Topology-Preserving Neural Operator Learning via Hodge Decomposition
by: Zheng, Dongzhe, et al.
Published: (2026)

Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)

Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains
by: Prabhakar, Nikhilesh, et al.
Published: (2025)

OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
by: Zhang, Jianzhang, et al.
Published: (2025)

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

Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators
by: Baheri, Ali, et al.
Published: (2026)

Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)

Domain Adversarial Active Learning for Domain Generalization Classification
by: Chen, Jianting, et al.
Published: (2024)

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
by: Wu, Xinghao, et al.
Published: (2024)

DGSense: A Domain Generalization Framework for Wireless Sensing
by: Zhou, Rui, et al.
Published: (2025)