126 related articles for article (PubMed ID: 36832702)
1. Lightweight Deep Neural Network Embedded with Stochastic Variational Inference Loss Function for Fast Detection of Human Postures.
Hsu FS; Su ZJ; Kao Y; Tsai SW; Lin YC; Tu PH; Gong CA; Chen CC
Entropy (Basel); 2023 Feb; 25(2):. PubMed ID: 36832702
[TBL] [Abstract][Full Text] [Related]
2. Posture Detection of Individual Pigs Based on Lightweight Convolution Neural Networks and Efficient Channel-Wise Attention.
Luo Y; Zeng Z; Lu H; Lv E
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960477
[TBL] [Abstract][Full Text] [Related]
3. Sampling the Variational Posterior with Local Refinement.
Havasi M; Snoek J; Tran D; Gordon J; Hernández-Lobato JM
Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828173
[TBL] [Abstract][Full Text] [Related]
4. Variational HyperAdam: A Meta-Learning Approach to Network Training.
Wang S; Yang Y; Sun J; Xu Z
IEEE Trans Pattern Anal Mach Intell; 2022 Aug; 44(8):4469-4484. PubMed ID: 33621172
[TBL] [Abstract][Full Text] [Related]
5. Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds.
Tsilifis P; Pandita P; Ghosh S; Wang L
Entropy (Basel); 2022 Sep; 24(9):. PubMed ID: 36141177
[TBL] [Abstract][Full Text] [Related]
6. Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification.
Lai Y; Guan W; Luo L; Guo Y; Song H; Meng H
IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6948-6962. PubMed ID: 36279334
[TBL] [Abstract][Full Text] [Related]
7. Probabilistic Models with Deep Neural Networks.
Masegosa AR; Cabañas R; Langseth H; Nielsen TD; Salmerón A
Entropy (Basel); 2021 Jan; 23(1):. PubMed ID: 33477544
[TBL] [Abstract][Full Text] [Related]
8. A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications.
Lin GT; Malligere Shivanna V; Guo JI
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32942628
[TBL] [Abstract][Full Text] [Related]
9. A stochastic variational framework for Recurrent Gaussian Processes models.
Mattos CLC; Barreto GA
Neural Netw; 2019 Apr; 112():54-72. PubMed ID: 30753963
[TBL] [Abstract][Full Text] [Related]
10. Lightweight and efficient neural network with SPSA attention for wheat ear detection.
Dong Y; Liu Y; Kang H; Li C; Liu P; Liu Z
PeerJ Comput Sci; 2022; 8():e931. PubMed ID: 35494849
[TBL] [Abstract][Full Text] [Related]
11. Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models.
Daunizeau J; Friston KJ; Kiebel SJ
Physica D; 2009 Nov; 238(21):2089-2118. PubMed ID: 19862351
[TBL] [Abstract][Full Text] [Related]
12. Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference.
Steinbrener J; Posch K; Pilz J
Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33113927
[TBL] [Abstract][Full Text] [Related]
13. Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.
Konishi T; Kubo T; Watanabe K; Ikeda K
IEEE Trans Neural Netw Learn Syst; 2015 Sep; 26(9):2176-81. PubMed ID: 25361514
[TBL] [Abstract][Full Text] [Related]
14. Stochastic Variational Inference for Bayesian Phylogenetics: A Case of CAT Model.
Dang T; Kishino H
Mol Biol Evol; 2019 Apr; 36(4):825-833. PubMed ID: 30715448
[TBL] [Abstract][Full Text] [Related]
15. Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention.
Yang H; Yang M; He B; Qin T; Yang J
Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141066
[TBL] [Abstract][Full Text] [Related]
16. Gradient Regularization as Approximate Variational Inference.
Unlu A; Aitchison L
Entropy (Basel); 2021 Dec; 23(12):. PubMed ID: 34945935
[TBL] [Abstract][Full Text] [Related]
17. LCBM: A Multi-View Probabilistic Model for Multi-Label Classification.
Sun S; Zong D
IEEE Trans Pattern Anal Mach Intell; 2021 Aug; 43(8):2682-2696. PubMed ID: 32078533
[TBL] [Abstract][Full Text] [Related]
18. Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding.
Uğur Y; Arvanitakis G; Zaidi A
Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33285988
[TBL] [Abstract][Full Text] [Related]
19. A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study.
Jeon E; Oh K; Kwon S; Son H; Yun Y; Jung ES; Kim MS
JMIR Med Inform; 2020 Mar; 8(3):e17037. PubMed ID: 32163037
[TBL] [Abstract][Full Text] [Related]
20. Stochastic Control for Bayesian Neural Network Training.
Winkler L; Ojeda C; Opper M
Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]