IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Manor, Shalev, Kohandel, Mohammad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Framework for Simultaneous Parameter and Function Discovery in Differential Equations
by: Manor, Shalev, et al.
Published: (2025)
by: Manor, Shalev, et al.
Published: (2025)
Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP)
by: Mohammad-Djafari, Ali
Published: (2026)
by: Mohammad-Djafari, Ali
Published: (2026)
Multi-Preconditioned LBFGS for Training Finite-Basis PINNs
by: Salvadó-Benasco, Marc, et al.
Published: (2026)
by: Salvadó-Benasco, Marc, et al.
Published: (2026)
Conformalized Physics-Informed Neural Networks
by: Podina, Lena, et al.
Published: (2024)
by: Podina, Lena, et al.
Published: (2024)
Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts
by: Shalev, Guy, et al.
Published: (2024)
by: Shalev, Guy, et al.
Published: (2024)
Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator
by: Mukherjee, Amartya, et al.
Published: (2024)
by: Mukherjee, Amartya, et al.
Published: (2024)
AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2025)
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2025)
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
by: Mohammad-Djafari, Ali, et al.
Published: (2025)
by: Mohammad-Djafari, Ali, et al.
Published: (2025)
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis
by: Podina, Lena, et al.
Published: (2024)
by: Podina, Lena, et al.
Published: (2024)
Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems
by: Chen, Yongsheng, et al.
Published: (2026)
by: Chen, Yongsheng, et al.
Published: (2026)
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
by: Podina, Lena, et al.
Published: (2024)
by: Podina, Lena, et al.
Published: (2024)
RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs
by: Song, Zhenao
Published: (2025)
by: Song, Zhenao
Published: (2025)
Adaptive Interface-PINNs (AdaI-PINNs): An Efficient Physics-informed Neural Networks Framework for Interface Problems
by: Roy, Sumanta, et al.
Published: (2024)
by: Roy, Sumanta, et al.
Published: (2024)
Immediate Derivatives Suffice for Online Recurrent Adaptation
by: Merin, Aur Shalev
Published: (2026)
by: Merin, Aur Shalev
Published: (2026)
On Inverse Problems, Parameter Estimation, and Domain Generalization
by: Pereg, Deborah
Published: (2025)
by: Pereg, Deborah
Published: (2025)
GraIP: A Benchmarking Framework For Neural Graph Inverse Problems
by: Cantürk, Semih, et al.
Published: (2026)
by: Cantürk, Semih, et al.
Published: (2026)
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
by: Manor, Hila, et al.
Published: (2026)
by: Manor, Hila, et al.
Published: (2026)
Estimate Epidemiological Parameters given Partial Observations based on Algebraically Observable PINNs
by: Komatsu, Mizuka
Published: (2024)
by: Komatsu, Mizuka
Published: (2024)
PINNs Failure Modes are Overfitting
by: Andersen, Nigel T., et al.
Published: (2026)
by: Andersen, Nigel T., et al.
Published: (2026)
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
by: Manor, Hila, et al.
Published: (2023)
by: Manor, Hila, et al.
Published: (2023)
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
by: Manor, Hila, et al.
Published: (2024)
by: Manor, Hila, et al.
Published: (2024)
A Control Perspective on Training PINNs
by: Barreau, Matthieu, et al.
Published: (2025)
by: Barreau, Matthieu, et al.
Published: (2025)
Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
by: Mizrachi, Noam, et al.
Published: (2026)
by: Mizrachi, Noam, et al.
Published: (2026)
Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space
by: Tarancón-Álvarez, Pedro, et al.
Published: (2025)
by: Tarancón-Álvarez, Pedro, et al.
Published: (2025)
Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation
by: Edelstein, Yiftach, et al.
Published: (2024)
by: Edelstein, Yiftach, et al.
Published: (2024)
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
by: Bar, Yarin, et al.
Published: (2024)
by: Bar, Yarin, et al.
Published: (2024)
Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations
by: Abedi, Mohammad Mahdi, et al.
Published: (2025)
by: Abedi, Mohammad Mahdi, et al.
Published: (2025)
MILP initialization for solving parabolic PDEs with PINNs
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Inverse Neural Operator for ODE Parameter Optimization
by: Liu, Zhi-Song, et al.
Published: (2026)
by: Liu, Zhi-Song, et al.
Published: (2026)
Building Trust in PINNs: Error Estimation through Finite Difference Methods
by: Krasowski, Aleksander, et al.
Published: (2026)
by: Krasowski, Aleksander, et al.
Published: (2026)
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains
by: Wang, Shupeng, et al.
Published: (2024)
by: Wang, Shupeng, et al.
Published: (2024)
Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits
by: Buckley, Thomas, et al.
Published: (2026)
by: Buckley, Thomas, et al.
Published: (2026)
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
by: Bischof, Rafael, et al.
Published: (2025)
by: Bischof, Rafael, et al.
Published: (2025)
STMPL: Human Soft-Tissue Simulation
by: Agafonov, Anton, et al.
Published: (2024)
by: Agafonov, Anton, et al.
Published: (2024)
Basis Transformers for Multi-Task Tabular Regression
by: Loh, Wei Min, et al.
Published: (2025)
by: Loh, Wei Min, et al.
Published: (2025)
Chebyshev Center-Based Direction Selection for Multi-Objective Optimization and Training PINNs
by: Yoon, Hoyeol, et al.
Published: (2026)
by: Yoon, Hoyeol, et al.
Published: (2026)
HMCGeo: IP Region Prediction Based on Hierarchical Multi-label Classification
by: Zhao, Tianzi, et al.
Published: (2025)
by: Zhao, Tianzi, et al.
Published: (2025)
Private and interpretable clinical prediction with quantum-inspired tensor train models
by: Monturiol, José Ramón Pareja, et al.
Published: (2026)
by: Monturiol, José Ramón Pareja, et al.
Published: (2026)
Mitigating Gradient Pathology in PINNs through Aligned Constraint
by: Luo, Yichen, et al.
Published: (2026)
by: Luo, Yichen, et al.
Published: (2026)
Similar Items
-
A Unified Framework for Simultaneous Parameter and Function Discovery in Differential Equations
by: Manor, Shalev, et al.
Published: (2025) -
Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP)
by: Mohammad-Djafari, Ali
Published: (2026) -
Multi-Preconditioned LBFGS for Training Finite-Basis PINNs
by: Salvadó-Benasco, Marc, et al.
Published: (2026) -
Conformalized Physics-Informed Neural Networks
by: Podina, Lena, et al.
Published: (2024) -
Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts
by: Shalev, Guy, et al.
Published: (2024)