108 related articles for article (PubMed ID: 34029199)
1. A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model.
Giraldo JJ; Alvarez MA
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6429-6442. PubMed ID: 34029199
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes.
Tran BH; Shahbaba B; Mandt S; Filippone M
Proc Mach Learn Res; 2023 Jul; 202():34409-34430. PubMed ID: 38644959
[TBL] [Abstract][Full Text] [Related]
5. Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods.
Liu H; Ong YS; Yu Z; Cai J; Shen X
IEEE Trans Cybern; 2022 Jul; 52(7):5842-5854. PubMed ID: 33449897
[TBL] [Abstract][Full Text] [Related]
6. Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning.
Lu CK; Shafto P
Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828085
[TBL] [Abstract][Full Text] [Related]
7. Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation.
Zalman Oshri D; Fine S
Entropy (Basel); 2023 Oct; 25(10):. PubMed ID: 37895589
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Variational image registration with learned prior using multi-stage VAEs.
Hua Y; Xu K; Yang X
Comput Biol Med; 2024 Jun; 178():108785. PubMed ID: 38925089
[TBL] [Abstract][Full Text] [Related]
10. Multioutput Convolution Spectral Mixture for Gaussian Processes.
Chen K; van Laarhoven T; Groot P; Chen J; Marchiori E
IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2255-2266. PubMed ID: 31869802
[TBL] [Abstract][Full Text] [Related]
11. Nonparametric mixtures of gaussian processes with power-law behavior.
Chatzis S; Demiris Y
IEEE Trans Neural Netw Learn Syst; 2012 Dec; 23(12):1862-71. PubMed ID: 24808142
[TBL] [Abstract][Full Text] [Related]
12. Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning.
Lu CK; Shafto P
Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828243
[TBL] [Abstract][Full Text] [Related]
13. Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring.
Dai Q; Zhao C; Huang B
IEEE Trans Cybern; 2023 Aug; 53(8):5094-5107. PubMed ID: 35666782
[TBL] [Abstract][Full Text] [Related]
14. Variational learning in nonlinear gaussian belief networks.
Frey BJ; Hinton GE
Neural Comput; 1999 Jan; 11(1):193-213. PubMed ID: 9950729
[TBL] [Abstract][Full Text] [Related]
15. PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation.
Semenova E; Xu Y; Howes A; Rashid T; Bhatt S; Mishra S; Flaxman S
J R Soc Interface; 2022 Jun; 19(191):20220094. PubMed ID: 35673858
[TBL] [Abstract][Full Text] [Related]
16. Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
Ma Z; Xie J; Lai Y; Taghia J; Xue JH; Guo J
IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2240-2254. PubMed ID: 30908264
[TBL] [Abstract][Full Text] [Related]
17. Advances in Variational Inference.
Zhang C; Butepage J; Kjellstrom H; Mandt S
IEEE Trans Pattern Anal Mach Intell; 2019 Aug; 41(8):2008-2026. PubMed ID: 30596568
[TBL] [Abstract][Full Text] [Related]
18. Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation.
Galy-Fajou T; Perrone V; Opper M
Entropy (Basel); 2021 Jul; 23(8):. PubMed ID: 34441130
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Bayesian multitask classification with Gaussian process priors.
Skolidis G; Sanguinetti G
IEEE Trans Neural Netw; 2011 Dec; 22(12):2011-21. PubMed ID: 21990334
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]