Mathematics
Spline
66%
Elliptic Equation
50%
PDE
50%
Convergence Rate
50%
Edge
50%
Framelets
50%
Temporal Interaction
50%
Continuous Time
50%
Power Method
50%
Learning Task
50%
Number
50%
Linear Order
50%
Convolution
50%
Representation Learning
50%
Bounded Linear Operator
50%
Optimal Control Problem
33%
Numerical Experiment
33%
Boundary Condition
25%
Elliptic Operator
16%
Hand Side
16%
Nonlinearities
16%
Computational Cost
16%
Degree of Freedom
16%
Iterative Solution
16%
Conditional Expectation
16%
Approximation Property
16%
Bayesian
16%
Engineering
Multiscale
100%
Convergence Rate
66%
Spectral Transform
50%
Optimal Control
50%
Bounded Linear Operator
50%
Numerical Experiment
41%
Optimal Control Problem
33%
Propagation Speed
25%
Balancing Energy
25%
Continuous Time
25%
Learning Task
25%
Computational Efficiency
25%
Demonstrates
25%
Randomization
25%
Conditional Expectation
25%
Bayesian Framework
25%
Partial Information
25%
Partial Differential Equation
25%
Convolutional Neural Network
25%
Hand Side
16%
Degree of Freedom
16%
Nonlinearity
16%
Fine Scale
16%
Couplings
16%
Computational Cost
16%
Composite Material
16%
Keyphrases
Dynamic Graph Structure
50%
Edge Evaluation
50%
Multiscale Elliptic Equation
50%
Spectral Transform
50%
Neural Operators
50%
Balance Effect
25%
Continuous-time Dynamic Graph
25%
Temporal Interaction
25%
Feature Structure
25%
Hidden Representation
25%
Dynamic Graph Representation Learning
25%
Framelet
25%
Time-varying Graphs
25%
Bounded Linear Operator
25%
Rough Polyharmonic Splines
16%
Convex Optimal Control
16%
CNN-based Model
12%
Spectral Type
12%
Input Neurons
12%
Universal Approximation Property
12%
Output Neurons
12%
Mathematical Rigour
12%