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Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

2 August 2018
Christian Donner
Manfred Opper
ArXivPDFHTML

Papers citing "Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes"

6 / 6 papers shown
Title
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
43
0
0
08 Oct 2024
Heterogeneous Multi-Task Gaussian Cox Processes
Heterogeneous Multi-Task Gaussian Cox Processes
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
38
2
0
29 Aug 2023
Case Studies for Computing Density of Reachable States for Safe
  Autonomous Motion Planning
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
Yue Meng
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
31
5
0
16 Sep 2022
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Density Distribution of Reachable States for Autonomous Systems
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
77
19
0
14 Sep 2021
Automated Augmented Conjugate Inference for Non-conjugate Gaussian
  Process Models
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
Théo Galy-Fajou
F. Wenzel
Manfred Opper
29
4
0
26 Feb 2020
Gaussian Process Modulated Cox Processes under Linear Inequality
  Constraints
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
A. F. López-Lopera
S. T. John
N. Durrande
18
16
0
28 Feb 2019
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