Pages that link to "Item:Q1744192"

The following pages link to The Deep Ritz Method: a deep learning-based numerical algorithm for solving variational problems (Q1744192):

Displaying 50 items.

• A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables (Q2124009) (← links)
• Structure probing neural network deflation (Q2124019) (← links)
• Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs (Q2125011) (← links)
• A derivative-free method for solving elliptic partial differential equations with deep neural networks (Q2125435) (← links)
• Int-Deep: a deep learning initialized iterative method for nonlinear problems (Q2125440) (← links)
• PFNN: a penalty-free neural network method for solving a class of second-order boundary-value problems on complex geometries (Q2128373) (← links)
• Deep neural networks and adaptive quadrature for solving variational problems (Q2128466) (← links)
• Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications (Q2128484) (← links)
• A Helmholtz equation solver using unsupervised learning: application to transcranial ultrasound (Q2131029) (← links)
• SelectNet: self-paced learning for high-dimensional partial differential equations (Q2131038) (← links)
• Using neural networks to accelerate the solution of the Boltzmann equation (Q2132591) (← links)
• A modified batch intrinsic plasticity method for pre-training the random coefficients of extreme learning machines (Q2133017) (← links)
• SPINN: sparse, physics-based, and partially interpretable neural networks for PDEs (Q2133032) (← links)
• Solving and learning nonlinear PDEs with Gaussian processes (Q2133484) (← links)
• MIM: a deep mixed residual method for solving high-order partial differential equations (Q2133607) (← links)
• A variational framework for computing Wannier functions using dictionary learning (Q2133725) (← links)
• Meta-mgnet: meta multigrid networks for solving parameterized partial differential equations (Q2133752) (← links)
• Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
• The mixed deep energy method for resolving concentration features in finite strain hyperelasticity (Q2134762) (← links)
• A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder (Q2134764) (← links)
• A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks (Q2135256) (← links)
• Adaptive deep density approximation for Fokker-Planck equations (Q2135831) (← links)
• Thermodynamically consistent physics-informed neural networks for hyperbolic systems (Q2136443) (← links)
• A deep learning framework for constitutive modeling based on temporal convolutional network (Q2136467) (← links)
• Simulation of the 3D hyperelastic behavior of ventricular myocardium using a finite-element based neural-network approach (Q2136715) (← links)
• A neural network multigrid solver for the Navier-Stokes equations (Q2137963) (← links)
• On quadrature rules for solving partial differential equations using neural networks (Q2138756) (← links)
• Neural networks enforcing physical symmetries in nonlinear dynamical lattices: the case example of the Ablowitz-Ladik model (Q2140106) (← links)
• Solving Fredholm integral equations using deep learning (Q2144736) (← links)
• Computing the invariant distribution of randomly perturbed dynamical systems using deep learning (Q2149015) (← links)
• Discovery of subdiffusion problem with noisy data via deep learning (Q2149161) (← links)
• Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms (Q2152480) (← links)
• Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks (Q2157080) (← links)
• Solving elliptic equations with Brownian motion: bias reduction and temporal difference learning (Q2157396) (← links)
• Solving multiscale steady radiative transfer equation using neural networks with uniform stability (Q2157930) (← links)
• Uniform approximation rates and metric entropy of shallow neural networks (Q2157931) (← links)
• Lagrangian dual framework for conservative neural network solutions of kinetic equations (Q2158858) (← links)
• Numerical approximation of partial differential equations by a variable projection method with artificial neural networks (Q2160472) (← links)
• Learning deep implicit Fourier neural operators (IFNOs) with applications to heterogeneous material modeling (Q2160481) (← links)
• Randomized Newton's method for solving differential equations based on the neural network discretization (Q2161555) (← links)
• Overcoming the curse of dimensionality in the numerical approximation of parabolic partial differential equations with gradient-dependent nonlinearities (Q2162115) (← links)
• Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
• Multilevel Picard approximations of high-dimensional semilinear partial differential equations with locally monotone coefficient functions (Q2165859) (← links)
• Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations (Q2168314) (← links)
• HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations (Q2172562) (← links)
• Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data (Q2176917) (← links)
• Deep global model reduction learning in porous media flow simulation (Q2187913) (← links)
• A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations (Q2216499) (← links)
• Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data (Q2222275) (← links)
• A mesh-free method for interface problems using the deep learning approach (Q2222664) (← links)