127 related articles for article (PubMed ID: 33513325)
1. Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth.
Shen Z; Yang H; Zhang S
Neural Comput; 2021 Mar; 33(4):1005-1036. PubMed ID: 33513325
[TBL] [Abstract][Full Text] [Related]
2. Neural network approximation: Three hidden layers are enough.
Shen Z; Yang H; Zhang S
Neural Netw; 2021 Sep; 141():160-173. PubMed ID: 33906082
[TBL] [Abstract][Full Text] [Related]
3. Optimal approximation of piecewise smooth functions using deep ReLU neural networks.
Petersen P; Voigtlaender F
Neural Netw; 2018 Dec; 108():296-330. PubMed ID: 30245431
[TBL] [Abstract][Full Text] [Related]
4. Approximation of smooth functionals using deep ReLU networks.
Song L; Liu Y; Fan J; Zhou DX
Neural Netw; 2023 Sep; 166():424-436. PubMed ID: 37549610
[TBL] [Abstract][Full Text] [Related]
5. Nonlinear approximation via compositions.
Shen Z; Yang H; Zhang S
Neural Netw; 2019 Nov; 119():74-84. PubMed ID: 31401528
[TBL] [Abstract][Full Text] [Related]
6. Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks.
Labate D; Shi J
Neural Netw; 2024 Jun; 174():106223. PubMed ID: 38458005
[TBL] [Abstract][Full Text] [Related]
7. Deep ReLU neural networks in high-dimensional approximation.
Dũng D; Nguyen VK
Neural Netw; 2021 Oct; 142():619-635. PubMed ID: 34392126
[TBL] [Abstract][Full Text] [Related]
8. Simultaneous neural network approximation for smooth functions.
Hon S; Yang H
Neural Netw; 2022 Oct; 154():152-164. PubMed ID: 35882083
[TBL] [Abstract][Full Text] [Related]
9. Smooth Function Approximation by Deep Neural Networks with General Activation Functions.
Ohn I; Kim Y
Entropy (Basel); 2019 Jun; 21(7):. PubMed ID: 33267341
[TBL] [Abstract][Full Text] [Related]
10. Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem.
Montanelli H; Yang H
Neural Netw; 2020 Sep; 129():1-6. PubMed ID: 32473577
[TBL] [Abstract][Full Text] [Related]
11. Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.
Belomestny D; Naumov A; Puchkin N; Samsonov S
Neural Netw; 2023 Apr; 161():242-253. PubMed ID: 36774863
[TBL] [Abstract][Full Text] [Related]
12. ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions.
Huang C
Neural Comput; 2020 Nov; 32(11):2249-2278. PubMed ID: 32946706
[TBL] [Abstract][Full Text] [Related]
13. Neural networks with ReLU powers need less depth.
Cabanilla KIM; Mohammad RZ; Lope JEC
Neural Netw; 2024 Apr; 172():106073. PubMed ID: 38159509
[TBL] [Abstract][Full Text] [Related]
14. Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization.
Kang L; Liu Y; Luo Y; Yang JZ; Yuan H; Zhu C
IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38194389
[TBL] [Abstract][Full Text] [Related]
15. Approximation in shift-invariant spaces with deep ReLU neural networks.
Yang Y; Li Z; Wang Y
Neural Netw; 2022 Sep; 153():269-281. PubMed ID: 35763879
[TBL] [Abstract][Full Text] [Related]
16. Error bounds for approximations with deep ReLU networks.
Yarotsky D
Neural Netw; 2017 Oct; 94():103-114. PubMed ID: 28756334
[TBL] [Abstract][Full Text] [Related]
17. A deep network construction that adapts to intrinsic dimensionality beyond the domain.
Cloninger A; Klock T
Neural Netw; 2021 Sep; 141():404-419. PubMed ID: 34146968
[TBL] [Abstract][Full Text] [Related]
18. On the capacity of deep generative networks for approximating distributions.
Yang Y; Li Z; Wang Y
Neural Netw; 2022 Jan; 145():144-154. PubMed ID: 34749027
[TBL] [Abstract][Full Text] [Related]
19. Dimension independent bounds for general shallow networks.
Mhaskar HN
Neural Netw; 2020 Mar; 123():142-152. PubMed ID: 31869651
[TBL] [Abstract][Full Text] [Related]
20. On decision regions of narrow deep neural networks.
Beise HP; Dias Da Cruz S; Schröder U
Neural Netw; 2021 Aug; 140():121-129. PubMed ID: 33756267
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
