:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Xinquan, Perdikaris, Paris
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2507.02227
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Self-Flow-Matching assisted Full Waveform Inversion
por: Huang, Xinquan, et al.
Publicado: (2026)

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
por: Sankaran, Shyam, et al.
Publicado: (2026)

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
por: Fang, Zhiwei, et al.
Publicado: (2023)

Simulating Three-dimensional Turbulence with Physics-informed Neural Networks
por: Wang, Sifan, et al.
Publicado: (2025)

Physics-Informed Neural Networks and Extensions
por: Raissi, Maziar, et al.
Publicado: (2024)

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
por: Wang, Sifan, et al.
Publicado: (2025)

Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
por: Guilhoto, Leonardo Ferreira, et al.
Publicado: (2024)

On conditional diffusion models for PDE simulations
por: Shysheya, Aliaksandra, et al.
Publicado: (2024)

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
por: Wang, Sifan, et al.
Publicado: (2024)

$Δ$-PINNs: physics-informed neural networks on complex geometries
por: Costabal, Francisco Sahli, et al.
Publicado: (2022)

When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions
por: Wang, Sifan, et al.
Publicado: (2026)

Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
por: Liao, Xinyu, et al.
Publicado: (2024)

Deep Learning Alternatives of the Kolmogorov Superposition Theorem
por: Guilhoto, Leonardo Ferreira, et al.
Publicado: (2024)

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

A Mutual Information Lower Bound for Multimodal Regression Active Learning
por: Guilhoto, Leonardo Ferreira, et al.
Publicado: (2026)

Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
por: Wang, Sifan, et al.
Publicado: (2024)

Multimodal Scientific Learning Beyond Diffusions and Flows
por: Guilhoto, Leonardo Ferreira, et al.
Publicado: (2026)

Ambient Physics: Training Neural PDE Solvers with Partial Observations
por: Majid, Harris Abdul, et al.
Publicado: (2026)

CViT: Continuous Vision Transformer for Operator Learning
por: Wang, Sifan, et al.
Publicado: (2024)

KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches
por: Feng, Mingquan, et al.
Publicado: (2025)

Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems
por: Mao, Shunyuan, et al.
Publicado: (2024)

Physics-informed waveform inversion using pretrained wavefield neural operators
por: Huang, Xinquan, et al.
Publicado: (2025)

Simulation-Free Training of Neural ODEs on Paired Data
por: Kim, Semin, et al.
Publicado: (2024)

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
por: Huang, Yunfei, et al.
Publicado: (2025)

GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks
por: Huang, Xinquan, et al.
Publicado: (2023)

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
por: Holzschuh, Benjamin, et al.
Publicado: (2025)

Efficient physics-informed neural networks using hash encoding
por: Huang, Xinquan, et al.
Publicado: (2023)

Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
por: Campbell, Gregory M., et al.
Publicado: (2025)

LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
por: Huang, Xinquan, et al.
Publicado: (2022)

Microseismic source imaging using physics-informed neural networks with hard constraints
por: Huang, Xinquan, et al.
Publicado: (2023)

PDE-aware Optimizer for Physics-informed Neural Networks
por: Churiwala, Vismay, et al.
Publicado: (2025)

SGNO: Spectral Generator Neural Operators for Stable Long Horizon PDE Rollouts
por: Li, Jiayi, et al.
Publicado: (2026)

Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
por: Mao, Shunyuan, et al.
Publicado: (2025)

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
por: Zhou, Anthony, et al.
Publicado: (2024)

Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
por: Nayak, Dibyajyoti, et al.
Publicado: (2025)

M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
por: Zhang, Tao, et al.
Publicado: (2024)

Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers
por: Lu, Jinming, et al.
Publicado: (2025)

Controllable seismic velocity synthesis using generative diffusion models
por: Wang, Fu, et al.
Publicado: (2024)

Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting
por: Huang, Xinquan, et al.
Publicado: (2024)