The Best of Both Worlds: Hybridizing Neural Operators and Solvers for Stable Long-Horizon Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Roy, Rajyasri, Nayak, Dibyajyoti, Goswami, Somdatta |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Resolution Independent Neural Operator
by: Bahmani, Bahador, et al.
Published: (2024)
by: Bahmani, Bahador, et al.
Published: (2024)
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
by: Nayak, Dibyajyoti, et al.
Published: (2025)
by: Nayak, Dibyajyoti, et al.
Published: (2025)
TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation
by: Nayak, Dibyajyoti, et al.
Published: (2025)
by: Nayak, Dibyajyoti, et al.
Published: (2025)
Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators
by: Li, David S., et al.
Published: (2025)
by: Li, David S., et al.
Published: (2025)
Enforcing the Principle of Locality for Physical Simulations with Neural Operators
by: Chen, Jiangce, et al.
Published: (2024)
by: Chen, Jiangce, et al.
Published: (2024)
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
by: Rezaei, Shahed, et al.
Published: (2024)
by: Rezaei, Shahed, et al.
Published: (2024)
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025)
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025)
Neural Operators Can Discover Functional Clusters
by: Li, Yicen, et al.
Published: (2026)
by: Li, Yicen, et al.
Published: (2026)
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)
by: Karkaria, Vispi, et al.
Published: (2025)
Tau-BNO: Brain Neural Operator for Tau Transport Model
by: Barron, Nuutti, et al.
Published: (2026)
by: Barron, Nuutti, et al.
Published: (2026)
Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
by: Nguyen, Binh Huy, et al.
Published: (2025)
by: Nguyen, Binh Huy, et al.
Published: (2025)
UniFIDES: Universal Fractional Integro-Differential Equation Solvers
by: Saadat, Milad, et al.
Published: (2024)
by: Saadat, Milad, et al.
Published: (2024)
Neural Chaos: A Spectral Stochastic Neural Operator
by: Bahmani, Bahador, et al.
Published: (2025)
by: Bahmani, Bahador, et al.
Published: (2025)
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
by: Behroozi, Abdolmehdi, et al.
Published: (2025)
by: Behroozi, Abdolmehdi, et al.
Published: (2025)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
by: Luo, Junliang, et al.
Published: (2025)
by: Luo, Junliang, et al.
Published: (2025)
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
by: Horie, Masanobu, et al.
Published: (2024)
by: Horie, Masanobu, et al.
Published: (2024)
Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators
by: Thiagarajan, Ponkrshnan, et al.
Published: (2025)
by: Thiagarajan, Ponkrshnan, et al.
Published: (2025)
Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction
by: Gupta, Abhijit
Published: (2025)
by: Gupta, Abhijit
Published: (2025)
Active Learning for Neural PDE Solvers
by: Musekamp, Daniel, et al.
Published: (2024)
by: Musekamp, Daniel, et al.
Published: (2024)
Separable Operator Networks
by: Yu, Xinling, et al.
Published: (2024)
by: Yu, Xinling, et al.
Published: (2024)
Physics-informed Partitioned Coupled Neural Operator for Complex Networks
by: Wu, Weidong, et al.
Published: (2024)
by: Wu, Weidong, et al.
Published: (2024)
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model
by: Etienam, Clement, et al.
Published: (2024)
by: Etienam, Clement, et al.
Published: (2024)
KANO: Kolmogorov-Arnold Neural Operator
by: Lee, Jin, et al.
Published: (2025)
by: Lee, Jin, et al.
Published: (2025)
MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
by: Ter-Avanesov, Boris, et al.
Published: (2024)
by: Ter-Avanesov, Boris, et al.
Published: (2024)
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
by: Zhao, Jinpai, et al.
Published: (2026)
by: Zhao, Jinpai, et al.
Published: (2026)
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)
by: Papierz, Mateusz, et al.
Published: (2026)
Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
by: Aretz, Nicole, et al.
Published: (2025)
by: Aretz, Nicole, et al.
Published: (2025)
QuadNorm: Resolution-Robust Normalization for Neural Operators
by: Kim, Bum Jun, et al.
Published: (2026)
by: Kim, Bum Jun, et al.
Published: (2026)
Causality-Respecting Adaptive Refinement for PINNs: Enabling Precise Interface Evolution in Phase Field Modeling
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
by: Yadav, Akash, et al.
Published: (2026)
by: Yadav, Akash, et al.
Published: (2026)
A Boundary Integral-based Neural Operator for Mesh Deformation
by: Wu, Zhengyu, et al.
Published: (2026)
by: Wu, Zhengyu, et al.
Published: (2026)
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
by: Liu, Ning, et al.
Published: (2023)
by: Liu, Ning, et al.
Published: (2023)
Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning
by: Terrén-Serrano, Guillermo, et al.
Published: (2023)
by: Terrén-Serrano, Guillermo, et al.
Published: (2023)
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
by: Eivazi, Hamidreza, et al.
Published: (2024)
by: Eivazi, Hamidreza, et al.
Published: (2024)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
Neural Persistence Dynamics
by: Zeng, Sebastian, et al.
Published: (2024)
by: Zeng, Sebastian, et al.
Published: (2024)
Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure
by: Shatarah, Mohamed, et al.
Published: (2025)
by: Shatarah, Mohamed, et al.
Published: (2025)
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach
by: Zhang, Qian, et al.
Published: (2026)
by: Zhang, Qian, et al.
Published: (2026)
Similar Items
-
A Resolution Independent Neural Operator
by: Bahmani, Bahador, et al.
Published: (2024) -
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025) -
Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
by: Nayak, Dibyajyoti, et al.
Published: (2025) -
TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation
by: Nayak, Dibyajyoti, et al.
Published: (2025) -
Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators
by: Li, David S., et al.
Published: (2025)