Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Gorpinich, M., Moya, B., Rodriguez, S., Meraghni, F., Jaafra, Y., Briot, A., Henner, M., Leon, R., Chinesta, F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN)
by: Łoś, Marcin, et al.
Published: (2024)
by: Łoś, Marcin, et al.
Published: (2024)
Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)
by: Służalec, Tomasz, et al.
Published: (2026)
by: Służalec, Tomasz, et al.
Published: (2026)
Looking Back, Moving Forward: A First-Person Perspective Of How Past Artificial Intelligence Encounters Shape Today's Creative Practice
by: Lewis, Makayla
Published: (2024)
by: Lewis, Makayla
Published: (2024)
IGA-ODIL: Optimizing DIscretre robust Loss with Isogeometric Analysis to solve forward and inverse problems faster using machine learning tools
by: Paszyński, Maciej, et al.
Published: (2026)
by: Paszyński, Maciej, et al.
Published: (2026)
Identifying Chemicals Through Dimensionality Reduction
by: Anand, Emile, et al.
Published: (2022)
by: Anand, Emile, et al.
Published: (2022)
Customizing Graph Neural Networks using Path Reweighting
by: Chen, Jianpeng, et al.
Published: (2021)
by: Chen, Jianpeng, et al.
Published: (2021)
Vertical Federated Graph Neural Network for Recommender System
by: Mai, Peihua, et al.
Published: (2023)
by: Mai, Peihua, et al.
Published: (2023)
PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems
by: Alexandrino, Duarte, et al.
Published: (2026)
by: Alexandrino, Duarte, et al.
Published: (2026)
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)
by: Duy, Dang Sy, et al.
Published: (2026)
Separable Physics-Informed Neural Networks for the solution of elasticity problems
by: Es'kin, Vasiliy A., et al.
Published: (2024)
by: Es'kin, Vasiliy A., et al.
Published: (2024)
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
by: Kashi, Aditya, et al.
Published: (2024)
by: Kashi, Aditya, et al.
Published: (2024)
Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion Matrix
by: Fu, Fanzhe
Published: (2026)
by: Fu, Fanzhe
Published: (2026)
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks?
by: Es'kin, Vasiliy A., et al.
Published: (2024)
by: Es'kin, Vasiliy A., et al.
Published: (2024)
About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks
by: Es'kin, Vasiliy A., et al.
Published: (2024)
by: Es'kin, Vasiliy A., et al.
Published: (2024)
SALT-KG: A Benchmark for Semantics-Aware Learning on Enterprise Tables
by: Mulang, Isaiah Onando, et al.
Published: (2026)
by: Mulang, Isaiah Onando, et al.
Published: (2026)
A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
by: Lantigua, Said, et al.
Published: (2025)
by: Lantigua, Said, et al.
Published: (2025)
ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI
by: Maturo, Fabrizio, et al.
Published: (2025)
by: Maturo, Fabrizio, et al.
Published: (2025)
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
by: de Albuquerque, Daniela, et al.
Published: (2024)
by: de Albuquerque, Daniela, et al.
Published: (2024)
Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
by: Wissgott, Philipp
Published: (2026)
by: Wissgott, Philipp
Published: (2026)
Generating DDPM-based Samples from Tilted Distributions
by: Mandal, Himadri, et al.
Published: (2026)
by: Mandal, Himadri, et al.
Published: (2026)
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
by: Okpala, Izunna, et al.
Published: (2025)
by: Okpala, Izunna, et al.
Published: (2025)
New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence
by: Abrar, Md Mainul, et al.
Published: (2025)
by: Abrar, Md Mainul, et al.
Published: (2025)
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)
by: Weigang, Li, et al.
Published: (2025)
About optimal loss function for training physics-informed neural networks under respecting causality
by: Es'kin, Vasiliy A., et al.
Published: (2023)
by: Es'kin, Vasiliy A., et al.
Published: (2023)
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2023)
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2023)
Predictive Digital Twins for Thermal Management Using Machine Learning and Reduced-Order Models
by: Subramani, Tamilselvan, et al.
Published: (2025)
by: Subramani, Tamilselvan, et al.
Published: (2025)
Review of multi-fidelity models
by: Fernández-Godino, M. Giselle
Published: (2016)
by: Fernández-Godino, M. Giselle
Published: (2016)
FeudalNav: A Simple Framework for Visual Navigation
by: Johnson, Faith, et al.
Published: (2026)
by: Johnson, Faith, et al.
Published: (2026)
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
by: Han, Chengkai, et al.
Published: (2025)
by: Han, Chengkai, et al.
Published: (2025)
AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
by: Aman, La Ode, et al.
Published: (2024)
by: Aman, La Ode, et al.
Published: (2024)
EdgeMark: An Automation and Benchmarking System for Embedded Artificial Intelligence Tools
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
Adaptive Domain Decomposition Physics-Informed Neural Networks for Traffic State Estimation with Sparse Sensor Data
by: Ka, Eunhan, et al.
Published: (2026)
by: Ka, Eunhan, et al.
Published: (2026)
Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen
by: Siwik, Leszek, et al.
Published: (2026)
by: Siwik, Leszek, et al.
Published: (2026)
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
by: Ott, Joachim, et al.
Published: (2024)
by: Ott, Joachim, et al.
Published: (2024)
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)
by: Hille, Tobias, et al.
Published: (2024)
Autoencoders in Function Space
by: Bunker, Justin, et al.
Published: (2024)
by: Bunker, Justin, et al.
Published: (2024)
Artificial intelligence and downscaling global climate model future projections
by: Benestad, Rasmus E.
Published: (2026)
by: Benestad, Rasmus E.
Published: (2026)
$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)
by: Dang, Kieu, et al.
Published: (2025)
Generative AI in Transportation Planning: A Survey
by: Da, Longchao, et al.
Published: (2025)
by: Da, Longchao, et al.
Published: (2025)
Multilevel Modeling as a Methodology for the Simulation of Human Mobility
by: Serena, Luca, et al.
Published: (2024)
by: Serena, Luca, et al.
Published: (2024)
Similar Items
-
Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN)
by: Łoś, Marcin, et al.
Published: (2024) -
Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)
by: Służalec, Tomasz, et al.
Published: (2026) -
Looking Back, Moving Forward: A First-Person Perspective Of How Past Artificial Intelligence Encounters Shape Today's Creative Practice
by: Lewis, Makayla
Published: (2024) -
IGA-ODIL: Optimizing DIscretre robust Loss with Isogeometric Analysis to solve forward and inverse problems faster using machine learning tools
by: Paszyński, Maciej, et al.
Published: (2026) -
Identifying Chemicals Through Dimensionality Reduction
by: Anand, Emile, et al.
Published: (2022)