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Deep Structured Mixtures of Gaussian Processes

10 October 2019

Papers citing "Deep Structured Mixtures of Gaussian Processes"

20 / 20 papers shown

Title
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes Nima Negarandeh Carlos Mora Ramin Bostanabad 101 0 0 18 Mar 2025
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model C. Etienam Juntao Yang O. Ovcharenko Issam Said 63 1 0 02 Jun 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review Sahil Sidheekh S. Natarajan TPM 70 5 0 01 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Georgios Korpas TPM 177 0 0 25 Jan 2024
Characteristic Circuits Zhongjie Yu Martin Trapp Kristian Kersting TPM 62 5 0 12 Dec 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Weizhe (Wesley) Chen Roni Khardon Lantao Liu 82 10 0 02 Jun 2023
AK: Attentive Kernel for Information Gathering Weizhe (Wesley) Chen Roni Khardon Lantao Liu 117 13 0 13 May 2022
Correlated Product of Experts for Sparse Gaussian Process Regression Manuel Schürch Dario Azzimonti A. Benavoli Marco Zaffalon 43 12 0 17 Dec 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 80 19 0 26 Oct 2021
Incremental Ensemble Gaussian Processes Qin Lu G. V. Karanikolas G. Giannakis 97 25 0 13 Oct 2021
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits Zhongjie Yu Devendra Singh Dhami Kristian Kersting TPM 3DPC LRM 30 0 0 14 Sep 2021
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression Zhongjie Yu M. Zhu Martin Trapp Arseny Skryagin Kristian Kersting UQCV TPM 43 15 0 16 Jun 2021
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting Nils Thoma Zhongjie Yu Fabrizio G. Ventola Kristian Kersting UQCV TPM AI4TS 27 5 0 08 Jun 2021
Mixtures of Gaussian Processes for regression under multiple prior distributions Sarem Seitz 13 1 0 19 Apr 2021
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition Enrique Sanchez M. Tellamekala Michel Valstar Georgios Tzimiropoulos CVBM 64 29 0 24 Mar 2021
Healing Products of Gaussian Processes Samuel N. Cohen R. Mbuvha T. Marwala M. Deisenroth GP 43 0 0 14 Feb 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih Stefano Ermon TPM 63 22 0 22 Oct 2020
Fast Deep Mixtures of Gaussian Process Experts Clement Etienam K. Law S. Wade Vitaly Zankin 60 2 0 11 Jun 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations Tomás Pevný Václav Smídl Martin Trapp Ondrej Polácek T. Oberhuber TPM 49 8 0 04 May 2020
Sequential Gaussian Processes for Online Learning of Nonstationary Functions M. Zhang Bianca Dumitrascu Sinead Williamson Barbara E. Engelhardt 35 8 0 24 May 2019