Mathematics
Neural Network
100%
PDE
92%
Neural Net
46%
Finite Time
46%
Solving Differential Equation
46%
Training Data
34%
Loss Function
34%
Error Bound
26%
Running Time
23%
End Point
23%
Inner Product
23%
Local Minimum
23%
Eigenvalue
23%
Stochastics
23%
Deep Learning
23%
Batch Size
23%
Convergence Property
23%
Explicit Dependence
23%
Physical System
23%
Deep Neural Network
23%
Regularization
15%
Reaction-Diffusion System
11%
Fixed Model
11%
Dependent Data
11%
Noisy Data
11%
Data Point
11%
Frobenius Norm
11%
Continuous Time
11%
Convergence Rate
11%
Gibbs Distribution
11%
Neural Loss
11%
Gibbs Free Energy
11%
Tradeoff
7%
Singular Solution
7%
Initial Condition
7%
Arbitrary Dimension
7%
Step Size
7%
Deep Learning Method
7%
Minimizes
7%
Computer Science
Neural Network
42%
Stochastic Algorithm
30%
Data Distribution
30%
Mild Condition
23%
Initial Condition
23%
Deep Neural Network
23%
Boundary Condition
23%
Physics-Informed Neural Network
23%
Gradient Descent
15%
Explicit Dependence
11%
Physics-Informed Machine Learning
11%
Performance Gain
11%
Artificial Intelligence
11%
Partial Differential Equation
11%
Gibbs Distribution
11%
Convolutional Network
7%
Approximation (Algorithm)
7%
Experimental Evidence
7%
Supervised Learning
7%
Adversarial Machine Learning
7%
Deep Learning Method
7%
Benchmark Task
5%
Scientific Problem
5%
Nonlinear Transformation
5%
Machine Learning
5%
training algorithm
5%
Physical Phenomena
5%
Engineering
Initial and Boundary Condition
23%
Physics Informed Neural Network
23%
Finite Time
23%
Rademacher Complexity
23%
Airfoil
23%
Initial Condition
11%
Artificial Intelligence
11%
Fluid Viscosity
11%
Inlet Velocity
11%
Arbitrary Dimension
5%
Nonlinear Partial Differential Equation
5%
Linear Transformation
5%
Partial Differential Equation
5%
Loss Function
5%
Physical Phenomena
5%
