A coupled Kolmogorov-Arnold Network and Level-Set framework for evolving interfaces
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Pande, Tarus, Minnikanti, V M S K, Karagadde, Shyamprasad |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
About optimal loss function for training physics-informed neural networks under respecting causality
par: Es'kin, Vasiliy A., et autres
Publié: (2023)
par: Es'kin, Vasiliy A., et autres
Publié: (2023)
How Can Deep Neural Networks Fail Even With Global Optima?
par: Guan, Qingguang
Publié: (2024)
par: Guan, Qingguang
Publié: (2024)
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks?
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
Approximation of the Basset force in the Maxey-Riley-Gatignol equations via universal differential equations
par: Sommer, Finn, et autres
Publié: (2026)
par: Sommer, Finn, et autres
Publié: (2026)
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
par: Benfenati, Alessandro, et autres
Publié: (2024)
par: Benfenati, Alessandro, et autres
Publié: (2024)
Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
par: Sittoni, Pietro, et autres
Publié: (2026)
par: Sittoni, Pietro, et autres
Publié: (2026)
Finite element analysis of very large bone models based on micro-CT scans
par: Martinez-Weissberg, Shani, et autres
Publié: (2025)
par: Martinez-Weissberg, Shani, et autres
Publié: (2025)
Neural Preconditioned Born Series: A Metric-Matched Framework for Learning-based Preconditioners
par: Wang, Juntao, et autres
Publié: (2026)
par: Wang, Juntao, et autres
Publié: (2026)
A Stabilized Physics Informed Neural Networks Method for Wave Equations
par: Jiao, Yuling, et autres
Publié: (2024)
par: Jiao, Yuling, et autres
Publié: (2024)
Vanilla Feedforward Neural Networks as a Discretization of Dynamical Systems
par: Duan, Yifei, et autres
Publié: (2022)
par: Duan, Yifei, et autres
Publié: (2022)
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
par: Li, Li'ang, et autres
Publié: (2023)
par: Li, Li'ang, et autres
Publié: (2023)
Reduced Order Modeling of Partial Differential Equations on Parameter-Dependent Domains Using Deep Neural Networks
par: Bukač, Martina, et autres
Publié: (2024)
par: Bukač, Martina, et autres
Publié: (2024)
Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models
par: Chen, Ke, et autres
Publié: (2026)
par: Chen, Ke, et autres
Publié: (2026)
Fourier Residual Networks Achieve Spectral Accuracy for Discontinuous Functions
par: Davis, Owen, et autres
Publié: (2026)
par: Davis, Owen, et autres
Publié: (2026)
Fredholm Neural Networks
par: Georgiou, Kyriakos, et autres
Publié: (2024)
par: Georgiou, Kyriakos, et autres
Publié: (2024)
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense
par: Ackermann, Julia, et autres
Publié: (2023)
par: Ackermann, Julia, et autres
Publié: (2023)
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
par: Adcock, Ben, et autres
Publié: (2022)
par: Adcock, Ben, et autres
Publié: (2022)
Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators
par: Morrow, Zachary, et autres
Publié: (2026)
par: Morrow, Zachary, et autres
Publié: (2026)
Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments
par: Schaffer, Sebastian, et autres
Publié: (2024)
par: Schaffer, Sebastian, et autres
Publié: (2024)
Analysis of Iterative Deblurring: No Explicit Noise
par: Mamba, Sinethemba Neliswa, et autres
Publié: (2024)
par: Mamba, Sinethemba Neliswa, et autres
Publié: (2024)
Error bounds for Physics Informed Neural Networks in Nonlinear Schrödinger equations placed on unbounded domains
par: Alejo, Miguel Á., et autres
Publié: (2024)
par: Alejo, Miguel Á., et autres
Publié: (2024)
On the algorithmic construction of deep ReLU networks
par: Huybrechs, Daan
Publié: (2025)
par: Huybrechs, Daan
Publié: (2025)
Learning to Integrate
par: Ernst, Oliver G., et autres
Publié: (2025)
par: Ernst, Oliver G., et autres
Publié: (2025)
Convergence of splitting methods on rotating grids for the magnetized Vlasov equation
par: Schild, Nils, et autres
Publié: (2024)
par: Schild, Nils, et autres
Publié: (2024)
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
par: Fernández-Godino, M. Giselle, et autres
Publié: (2025)
par: Fernández-Godino, M. Giselle, et autres
Publié: (2025)
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations
par: Ackermann, Julia, et autres
Publié: (2024)
par: Ackermann, Julia, et autres
Publié: (2024)
A Neumann-Neumann Acceleration with Coarse Space for Domain Decomposition of Extreme Learning Machines
par: Lee, Chang-Ock, et autres
Publié: (2025)
par: Lee, Chang-Ock, et autres
Publié: (2025)
Separable Physics-Informed Neural Networks for the solution of elasticity problems
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
par: Es'kin, Vasiliy A., et autres
Publié: (2024)
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks
par: Goren, Matan, et autres
Publié: (2024)
par: Goren, Matan, et autres
Publié: (2024)
A network based approach for unbalanced optimal transport on surfaces
par: Pan, Jiangong, et autres
Publié: (2024)
par: Pan, Jiangong, et autres
Publié: (2024)
Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations
par: Avilés, Eddel Elí Ojeda, et autres
Publié: (2024)
par: Avilés, Eddel Elí Ojeda, et autres
Publié: (2024)
Neural network Approximations for Reaction-Diffusion Equations -- Homogeneous Neumann Boundary Conditions and Long-time Integrations
par: Avilés, Eddel Elí Ojeda, et autres
Publié: (2024)
par: Avilés, Eddel Elí Ojeda, et autres
Publié: (2024)
Understanding the geometry of deep learning with decision boundary volume
par: Burfitt, Matthew, et autres
Publié: (2026)
par: Burfitt, Matthew, et autres
Publié: (2026)
Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras
par: Knibbeler, Vincent
Publié: (2023)
par: Knibbeler, Vincent
Publié: (2023)
A generalized reduction scheme for the Stochastic Weighted Particle Method
par: Goeckner, Matthew, et autres
Publié: (2025)
par: Goeckner, Matthew, et autres
Publié: (2025)
On The Convergence of the Discretized Linear Static State-Based Peridynamic Equations
par: Pflug, Lukas, et autres
Publié: (2026)
par: Pflug, Lukas, et autres
Publié: (2026)
Robust error estimates of PINN in one-dimensional boundary value problems for linear elliptic equations
par: Yoo, Jihahm, et autres
Publié: (2024)
par: Yoo, Jihahm, et autres
Publié: (2024)
Symplectic integrators for second-order linear non-autonomous equations
par: Bader, Philipp, et autres
Publié: (2017)
par: Bader, Philipp, et autres
Publié: (2017)
Rigorous High-Order Hausdorff Dimension Estimation of Limit Sets of Continued Fraction Iterated Function Systems via B-Splines
par: Brown, Jacob
Publié: (2026)
par: Brown, Jacob
Publié: (2026)
Documents similaires
-
About optimal loss function for training physics-informed neural networks under respecting causality
par: Es'kin, Vasiliy A., et autres
Publié: (2023) -
How Can Deep Neural Networks Fail Even With Global Optima?
par: Guan, Qingguang
Publié: (2024) -
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks?
par: Es'kin, Vasiliy A., et autres
Publié: (2024) -
About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks
par: Es'kin, Vasiliy A., et autres
Publié: (2024) -
Approximation of the Basset force in the Maxey-Riley-Gatignol equations via universal differential equations
par: Sommer, Finn, et autres
Publié: (2026)