Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals
Fuente:
arXiv
Saved in:
| Main Authors: | Jo, Hyeontae, Josić, Krešimir, Kim, Jae Kyoung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Predictor-Corrector Networks for Robust Parameter Estimation in Non-autonomous System with Discontinuous Inputs
by: Gu, Gyeongwan, et al.
Published: (2026)
by: Gu, Gyeongwan, et al.
Published: (2026)
Attractors In Almost Periodic Nicholson Systems And Some Numerical Simulations
by: Sanz, Ana M., et al.
Published: (2023)
by: Sanz, Ana M., et al.
Published: (2023)
Attention Mechanisms in Dynamical Systems: A Case Study with Predator-Prey Models
by: Balaban, David
Published: (2025)
by: Balaban, David
Published: (2025)
Comparing Physics-Informed and Neural ODE Approaches for Modeling Nonlinear Biological Systems: A Case Study Based on the Morris-Lecar Model
by: Matzakos, Nikolaos M., et al.
Published: (2026)
by: Matzakos, Nikolaos M., et al.
Published: (2026)
Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators
by: Cao, Xiang, et al.
Published: (2025)
by: Cao, Xiang, et al.
Published: (2025)
Impact of Hill coefficient and time delay on a perceptual decision-making model
by: Morawski, Bartłomiej, et al.
Published: (2025)
by: Morawski, Bartłomiej, et al.
Published: (2025)
Euler scheme for stochastic functional differential equations driven by fractional Brownian motion
by: Garzón, Johanna, et al.
Published: (2026)
by: Garzón, Johanna, et al.
Published: (2026)
Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks
by: Zinihi, Achraf
Published: (2025)
by: Zinihi, Achraf
Published: (2025)
Filtering and 1/3 Power Law for Optimal Time Discretisation in Numerical Integration of Stochastic Differential Equations
by: Vladimirov, Igor G.
Published: (2025)
by: Vladimirov, Igor G.
Published: (2025)
Architecture Induces Structural Invariant Manifolds of Neural Network Training Dynamics
by: Zhao, Jiajie, et al.
Published: (2025)
by: Zhao, Jiajie, et al.
Published: (2025)
Data-driven Neural Networks for Windkessel Parameter Calibration
by: Hoock, Benedikt, et al.
Published: (2025)
by: Hoock, Benedikt, et al.
Published: (2025)
Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems
by: Anvari, Mehrdad, et al.
Published: (2025)
by: Anvari, Mehrdad, et al.
Published: (2025)
Magnus Methods for Stochastic Delay-Differential Equations
by: Griggs, Mitchell T., et al.
Published: (2025)
by: Griggs, Mitchell T., et al.
Published: (2025)
Neural Network Convergence for Variational Inequalities
by: Zhao, Yun, et al.
Published: (2025)
by: Zhao, Yun, et al.
Published: (2025)
Sparse Identification of Nonlinear Dynamics for Stochastic Delay Differential Equations
by: Breda, Dimitri, et al.
Published: (2025)
by: Breda, Dimitri, et al.
Published: (2025)
Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
by: Fabiani, Gianluca, et al.
Published: (2025)
by: Fabiani, Gianluca, et al.
Published: (2025)
Numerical Solution of Fractional Control Problems via Fractional Differential Transformation
by: Rebenda, Josef, et al.
Published: (2019)
by: Rebenda, Josef, et al.
Published: (2019)
Neural Manifolds as Crystallized Embeddings: A Synthesis of the Free Energy Principle, Generalized Synchronization, and Hebbian Plasticity
by: O'Reilly-Shah, Vikas N.
Published: (2026)
by: O'Reilly-Shah, Vikas N.
Published: (2026)
Carleman estimates for parabolic equations with super strong degeneracy in a set of positive measure
by: Araújo, Bruno S. V., et al.
Published: (2024)
by: Araújo, Bruno S. V., et al.
Published: (2024)
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data
by: Jo, Hyeontae, et al.
Published: (2024)
by: Jo, Hyeontae, et al.
Published: (2024)
Utilising a learned forward operator in the inverse problem of photoacoustic tomography
by: Puronhaara, Karoliina, et al.
Published: (2026)
by: Puronhaara, Karoliina, et al.
Published: (2026)
Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
Mathematical and numerical methods for understanding immune cell motion during wound healing
by: Lupi, Giulia, et al.
Published: (2025)
by: Lupi, Giulia, et al.
Published: (2025)
Numerical simulations of the Gatenby-Gawlinski model with heterogeneous acid diffusion in one space dimension
by: Simeoni, Chiara, et al.
Published: (2025)
by: Simeoni, Chiara, et al.
Published: (2025)
Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks
by: Hernández, Martín, et al.
Published: (2024)
by: Hernández, Martín, et al.
Published: (2024)
Heterogeneous Entity Representation for Medicinal Synergy Prediction
by: Wu, Jiawei, et al.
Published: (2024)
by: Wu, Jiawei, et al.
Published: (2024)
Spatio-temporal probabilistic forecast using MMAF-guided learning
by: Bardi, Leonardo, et al.
Published: (2026)
by: Bardi, Leonardo, et al.
Published: (2026)
A Mathematical Model for Chemotherapy, Immunotherapy and Virotherapy Treatments of Cancer
by: Dutta, Tarini Kumar, et al.
Published: (2026)
by: Dutta, Tarini Kumar, et al.
Published: (2026)
A generalized coupling approach for the weak approximation of stochastic functional differential equations
by: Hamaguchi, Yushi, et al.
Published: (2024)
by: Hamaguchi, Yushi, et al.
Published: (2024)
Inexact Levenberg-Marquardt methods under Hölder metric subregularity
by: Symoens, Bas, et al.
Published: (2025)
by: Symoens, Bas, et al.
Published: (2025)
Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
Wavefront Solutions for Reaction-diffusion-convection Models with Accumulation Term and Aggregative Movements
by: Cantarini, Marco, et al.
Published: (2025)
by: Cantarini, Marco, et al.
Published: (2025)
Random neural networks for rough volatility
by: Jacquier, Antoine, et al.
Published: (2023)
by: Jacquier, Antoine, et al.
Published: (2023)
Simulating an infinite mean waiting time
by: Bartoszek, Krzysztof
Published: (2019)
by: Bartoszek, Krzysztof
Published: (2019)
Observability properties of the singular Grushin equation
by: Vanlaere, Roman
Published: (2026)
by: Vanlaere, Roman
Published: (2026)
Infinitely many saturated travelling waves for a degenerate Fisher-KPP equation not in divergence form
by: Alfaro, Matthieu, et al.
Published: (2025)
by: Alfaro, Matthieu, et al.
Published: (2025)
An Augmented Lagrangian Method for Training Recurrent Neural Networks
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Poisson Equations with locally-Lipschitz coefficients and Uniform in Time Averaging for Stochastic Differential Equations via Strong Exponential Stability
by: Crisan, Dan, et al.
Published: (2022)
by: Crisan, Dan, et al.
Published: (2022)
A cocktail of chemical reaction networks and mathematical epidemiology tools for positive ODE stability problems
by: Avram, Florin, et al.
Published: (2026)
by: Avram, Florin, et al.
Published: (2026)
Relay transitions and invasion thresholds in multi-strain rumor models: a chemical reaction network approach
by: Avram, Florin, et al.
Published: (2026)
by: Avram, Florin, et al.
Published: (2026)
Similar Items
-
Deep Predictor-Corrector Networks for Robust Parameter Estimation in Non-autonomous System with Discontinuous Inputs
by: Gu, Gyeongwan, et al.
Published: (2026) -
Attractors In Almost Periodic Nicholson Systems And Some Numerical Simulations
by: Sanz, Ana M., et al.
Published: (2023) -
Attention Mechanisms in Dynamical Systems: A Case Study with Predator-Prey Models
by: Balaban, David
Published: (2025) -
Comparing Physics-Informed and Neural ODE Approaches for Modeling Nonlinear Biological Systems: A Case Study Based on the Morris-Lecar Model
by: Matzakos, Nikolaos M., et al.
Published: (2026) -
Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators
by: Cao, Xiang, et al.
Published: (2025)