Mathematics
Neural Network
100%
Asymptotics
78%
Harmonic Oscillator
69%
Gaussian Distribution
54%
Critical Point
54%
Eigenvector
54%
Random Polynomial
42%
Scaling Limit
36%
Variance
30%
Deep Neural Network
28%
Forbidden Region
27%
Deep Learning Method
26%
Eigenspace
23%
Upper Bound
23%
Energy Surface
22%
Pointwise
22%
Probability Theory
20%
Dependent Data
19%
Laplace Operator
19%
Euclidean Space
19%
Eigenfunction
19%
Complex Analysis
18%
Approximates
18%
Eigenvalue
18%
Polynomial
17%
Matrix (Mathematics)
17%
Random Matrix
17%
Linear Combination
15%
piecewise linear
14%
Bayesian
13%
Sharp Contrast
13%
Convex Function
13%
Focal Point
13%
Diagonal
13%
G-Function
13%
Singular Value
13%
Unit Length
13%
Bayesian Model
13%
Connected Network
13%
Lemniscate
13%
Smooth Function
13%
Edge
13%
Approximation Function
13%
Meromorphic Function
13%
Standard Deviation
13%
Matrix Product
13%
Riemann Surface
13%
Supremum Norm
13%
Linear Regression Analysis
13%
Lyapunov Exponent
13%
Keyphrases
Nodal Sets
52%
Harmonic Oscillator
52%
Scaling Asymptotics
51%
Neural Network
46%
Random Polynomials
45%
ReLU Activation
41%
Eigenfunctions
40%
Deep ReLU Networks
39%
Scaling Limit
39%
Deep Neural Network
37%
Deep Network
36%
Wigner Distribution
30%
Isotropic Harmonic Oscillator
29%
Rectified Linear Unit (ReLU)
28%
Hidden Layer
28%
Layer Width
26%
Spectral Projectors
26%
Learning Rate
26%
Energy Surface
26%
ReLU Networks
25%
Network Depth
21%
Random Eigenvalues
19%
Gaussian Random
19%
Exploding Gradient
19%
Pointwise Weyl Law
19%
Vanishing Gradient
19%
Deep Learning
19%
Forbidden Region
18%
Euclidean Space
17%
Laplacian
17%
Riemannian Manifold
17%
Non-asymptotic
17%
Allowed Regions
16%
Hyperparameters
16%
Linear Network
15%
U-Net
15%
Infinite Depth
15%
Eigenspace Projection
14%
Monochromatic Random Waves
13%
Finite Width
13%
Vanishing Order
13%
Supremum Norm
13%
Remainder Estimate
13%
Neural Tangent Kernel
13%
Empirical Variance
13%
Finite Width Correction
13%
Length Distortion
13%
Linear Region
13%
Finite Depth
13%
Fixed Frequency
13%
