Image de couverture de livre

Latent Twins

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chung, Matthias, Verma, Deepanshu, Collins, Max, Subrahmanya, Amit N., Sastry, Varuni Katti, Rao, Vishwas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Numerical Analysis 68T07, 65M32, 65P10, 65M22, 35Q93 I.2.6; G.1.7; G.1.8
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bayesian BiLO: Bilevel Local Operator Learning for Efficient Uncertainty Quantification of Bayesian PDE Inverse Problems with Low-Rank Adaptation
par: Zhang, Ray Zirui, et autres
Publié: (2025)

On Convergence of a Three-Layer Semi-Discrete Scheme for the Nonlinear Dynamic String Equation of Kirchhoff-Type with Time-Dependent Coefficients
par: Rogava, Jemal, et autres
Publié: (2023)

An exponential-free Runge--Kutta framework for developing third-order unconditionally energy stable schemes for the Cahn--Hilliard equation
par: Wang, Haifeng, et autres
Publié: (2024)

Spatial-Temporal Nonlocal Traffic Dynamics: Analytical Properties, Adaptive Kernel Formulation, and Empirical Validation
par: Biswas, Animesh, et autres
Publié: (2026)

The structural method for Ordinary Differential Equations
par: Clain, S., et autres
Publié: (2025)

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
par: Meshir, Juan Daniel, et autres
Publié: (2025)

Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
par: Amo, Obed, et autres
Publié: (2025)

Multi-Resolution Training-Enhanced Kolmogorov-Arnold Networks for Multi-Scale PDE Problems
par: Yang, Yu-Sen, et autres
Publié: (2025)

Large-Scale Topology Optimisation of Time-dependent Thermal Conduction Using Space-Time Finite Elements and a Parallel Space-Time Multigrid Preconditioner
par: Alexandersen, Joe, et autres
Publié: (2025)

CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
par: Alghamdi, Amal M A, et autres
Publié: (2023)

Learning Chaotic Dynamics through Second-Order Geometric Supervision
par: Kang, Shinhoo, et autres
Publié: (2026)

Finite-Time Convergence Guarantees for Time-Parallel Methods
par: Antonucci, Giancarlo Antonino, et autres
Publié: (2026)

Optimal error analysis of a non-uniform IMEX-L1 finite element method for time fractional PDEs and PIDEs
par: Tomar, Aditi, et autres
Publié: (2023)

A high order, block finite difference, error inhibiting scheme for the transport equation
par: Ditkowski, Adi, et autres
Publié: (2024)

MgFNO: Multi-grid Architecture Fourier Neural Operator for Parametric Partial Differential Equations
par: Guo, Zi-Hao, et autres
Publié: (2024)

Stabilizing the singularity swap quadrature for near-singular line integrals
par: Krantz, David, et autres
Publié: (2025)

Gevrey class regularity for steady-state incompressible Navier-Stokes equations in parametric domains and related models
par: Chernov, Alexey, et autres
Publié: (2025)

Error Estimates for First- and Second-Order Lagrange-Galerkin Moving Mesh Schemes for the One-Dimensional Convection-Diffusion Equation
par: Putri, Kharisma Surya, et autres
Publié: (2024)

Admissible Lax-Wendroff Flux Reconstruction Method with Automatic Differentiation on Adaptive Curved Meshes for Relativistic Hydrodynamics
par: Basak, Sujoy, et autres
Publié: (2026)

Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method
par: Logashenko, Dmitry, et autres
Publié: (2024)

Learning Hamiltonian flows from numerical integrators and examples
par: Fang, Rui, et autres
Publié: (2025)

Improved uniform error bounds for long-time dynamics of the high-dimensional nonlinear space fractional sine-Gordon equation with weak nonlinearity
par: Jia, Junqing, et autres
Publié: (2024)

A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
par: Zhang, Jian'an
Publié: (2025)

Finite Difference Method for Global Stabilization of the Viscous Burgers' Equation with Nonlinear Neumann Boundary Feedback Control
par: Singh, Shishu Pal, et autres
Publié: (2025)

Hydrodynamic density-functional theory for the moving contact-line problem reveals fluid structure and emergence of a spatially distinct pattern
par: Nold, Andreas, et autres
Publié: (2024)

Recent advances about the rigorous integration of parabolic PDEs via fully spectral Fourier-Chebyshev expansions
par: Cadiot, Matthieu, et autres
Publié: (2025)

Regularization of the discrete source problem in the nonlinear diffusive-logistic equation
par: Krivorotko, Olga, et autres
Publié: (2024)

Dictionary-based model reduction for state estimation
par: Nouy, Anthony, et autres
Publié: (2023)

Entropy stable conservative flux form neural networks
par: Liu, Lizuo, et autres
Publié: (2024)

A Higher-order Hybridisable Discontinuous Galerkin IMEX method for the incompressible Euler equations
par: Müller, Eike Hermann
Publié: (2024)

A provably stable numerical method for the anisotropic diffusion equation in confined magnetic fields: Curvilinear coordinates and multi-block domains
par: Muir, Dean, et autres
Publié: (2026)

A provably stable numerical method for the anisotropic diffusion equation in confined magnetic fields
par: Muir, Dean, et autres
Publié: (2023)

U-WNO: U-Net Enhanced Wavelet Neural Operator for Solving Parametric Partial Differential Equations
par: Lei, Wei-Min, et autres
Publié: (2024)

Segregated Runge-Kutta schemes for the time integration of the incompressible Navier-Stokes equations in presence of pressure stabilization
par: Bakhvalov, Pavel
Publié: (2025)

An efficient two-grid fourth-order compact difference scheme with variable-step BDF2 method for the semilinear parabolic equation
par: Zhang, Bingyin, et autres
Publié: (2023)

An optimally fast objective-function-free minimization algorithm using random subspaces
par: Bellavia, S., et autres
Publié: (2023)

Error estimates and adaptivity for a least-squares method applied to the Monge-Ampère equation
par: Caboussat, Alexandre, et autres
Publié: (2025)

BiLO: Bilevel Local Operator Learning for PDE Inverse Problems
par: Zhang, Ray Zirui, et autres
Publié: (2024)

Stabilized Adaptive Loss and Residual-Based Collocation for Physics-Informed Neural Networks
par: Singh, Divyavardhan, et autres
Publié: (2026)

Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology
par: Daryakenari, Nazanin Ahmadi, et autres
Publié: (2025)