Residual-Informed Learning of Solutions to Algebraic Loops
Fuente:
arXiv
Saved in:
| Main Authors: | Brandt, Felix, Heuermann, Andreas, Hannebohm, Philip, Bachmann, Bernhard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Kernel Methods
by: Dózsa, Tamás, et al.
Published: (2026)
by: Dózsa, Tamás, et al.
Published: (2026)
Generative Machine Learning Models for the Deconvolution of Charge Carrier Dynamics in Organic Photovoltaic Cells
by: Raymond, Li, et al.
Published: (2025)
by: Raymond, Li, et al.
Published: (2025)
Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
by: Botta, Paolo, et al.
Published: (2025)
by: Botta, Paolo, et al.
Published: (2025)
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
by: Langenkamp, Linus, et al.
Published: (2025)
by: Langenkamp, Linus, et al.
Published: (2025)
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
by: Fabiani, Gianluca, et al.
Published: (2025)
by: Fabiani, Gianluca, et al.
Published: (2025)
Polyharmonic Cascade
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
$N$-Dimensional curve following for solving numerically systems of nonlinear equations
by: Hadjifotinou, Katerina G.
Published: (2026)
by: Hadjifotinou, Katerina G.
Published: (2026)
Global Solver based on the Sperner-Lemma and Mazurkewicz-Knaster-Kuratowski-Lemma based proof of the Brouwer Fixed-Point Theorem
by: Moshagen, Thilo
Published: (2024)
by: Moshagen, Thilo
Published: (2024)
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
by: Luzio, Emanuele, et al.
Published: (2025)
by: Luzio, Emanuele, et al.
Published: (2025)
Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
by: Yang, Tianlin, et al.
Published: (2026)
by: Yang, Tianlin, et al.
Published: (2026)
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
by: Holt, Samuel, et al.
Published: (2025)
by: Holt, Samuel, et al.
Published: (2025)
QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)
by: Du, Guanchen, et al.
Published: (2025)
An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation
by: Zappon, Elena, et al.
Published: (2024)
by: Zappon, Elena, et al.
Published: (2024)
A Semismooth Newton Solver and its application to an $hp$-FE Discretization in Elastoplasticity
by: Bammer, Patrick, et al.
Published: (2025)
by: Bammer, Patrick, et al.
Published: (2025)
Semigroup Consistency as a Diagnostic for Learned Physics Simulators
by: Shikhman, Lennon J.
Published: (2026)
by: Shikhman, Lennon J.
Published: (2026)
Polyharmonic Spline Packages: Composition, Efficient Procedures for Computation and Differentiation
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
Tensor-Train Operator Inference
by: Danis, Engin, et al.
Published: (2025)
by: Danis, Engin, et al.
Published: (2025)
High-resolution closed-loop seismic inversion network in time-frequency phase mixed domain
by: Liu, Yingtian, et al.
Published: (2024)
by: Liu, Yingtian, et al.
Published: (2024)
Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025)
by: Dominguez, Alejandro Rodriguez
Published: (2025)
Multiple data-driven missing imputation
by: Kavun, Sergii
Published: (2025)
by: Kavun, Sergii
Published: (2025)
RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation
by: Patsatzis, Dimitrios G., et al.
Published: (2026)
by: Patsatzis, Dimitrios G., et al.
Published: (2026)
Non-convex cost functionals in boosting algorithms and methods for panel selection
by: Visentin, Marco
Published: (2001)
by: Visentin, Marco
Published: (2001)
Dynamics of a Family of Rational Operators of Arbitrary Degree
by: Campos, Beatriz, et al.
Published: (2025)
by: Campos, Beatriz, et al.
Published: (2025)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)
by: Manokhin, Valery, et al.
Published: (2026)
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
by: Hsu, Shang-Ling, et al.
Published: (2024)
by: Hsu, Shang-Ling, et al.
Published: (2024)
Learning Hamiltonian flows from numerical integrators and examples
by: Fang, Rui, et al.
Published: (2025)
by: Fang, Rui, et al.
Published: (2025)
Velocity-Inferred Hamiltonian Neural Networks: Learning Energy-Conserving Dynamics from Position-Only Data
by: Xu, Ruichen, et al.
Published: (2025)
by: Xu, Ruichen, et al.
Published: (2025)
The Underlying Dynamics of Life and Its Evolution: A Prigogine-Inspired Informational Dissipative System
by: Chirumbolo, Salvatore, et al.
Published: (2024)
by: Chirumbolo, Salvatore, et al.
Published: (2024)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
by: Riccio, Donato, et al.
Published: (2024)
by: Riccio, Donato, et al.
Published: (2024)
Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach
by: Akella, Akhil Pandey, et al.
Published: (2024)
by: Akella, Akhil Pandey, et al.
Published: (2024)
Network-Driven Global Stability Analysis: SVIRS Epidemic Model
by: Barman, Madhab, et al.
Published: (2025)
by: Barman, Madhab, et al.
Published: (2025)
Sparse Training of Neural Networks based on Multilevel Mirror Descent
by: Lunk, Yannick, et al.
Published: (2026)
by: Lunk, Yannick, et al.
Published: (2026)
i-DEQ: A stable inertial deep equilibrium model for image restoration
by: Clerc, Antonin, et al.
Published: (2026)
by: Clerc, Antonin, et al.
Published: (2026)
Data-induced multiscale losses and efficient multirate gradient descent schemes
by: He, Juncai, et al.
Published: (2024)
by: He, Juncai, et al.
Published: (2024)
Local properties of neural networks through the lens of layer-wise Hessians
by: Bolshim, Maxim, et al.
Published: (2025)
by: Bolshim, Maxim, et al.
Published: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
by: Bolshim, Maxim, et al.
Published: (2026)
by: Bolshim, Maxim, et al.
Published: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
by: Bolshim, Maxim, et al.
Published: (2026)
by: Bolshim, Maxim, et al.
Published: (2026)
Similar Items
-
Adaptive Kernel Methods
by: Dózsa, Tamás, et al.
Published: (2026) -
Generative Machine Learning Models for the Deconvolution of Charge Carrier Dynamics in Organic Photovoltaic Cells
by: Raymond, Li, et al.
Published: (2025) -
Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
by: Botta, Paolo, et al.
Published: (2025) -
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
by: Langenkamp, Linus, et al.
Published: (2025) -
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
by: Fabiani, Gianluca, et al.
Published: (2025)