On the public citation graph

Fast Approximate Multioutput Gaussian Processes

https://doi.org/10.1109/mis.2022.3169036
0 signed · 43 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11776420_14openalex-snapshot
Mercer’s Theorem, Feature Maps, and Smoothing
inferredcites →https://doi.org/10.1007/978-3-540-28650-9_4openalex-snapshot
Gaussian Processes in Machine Learning
inferredcites →https://doi.org/10.1007/978-3-662-04808-5openalex-snapshot
Geostatistical Simulation: Models and Algorithms
inferredcites →https://doi.org/10.1007/s10291-018-0789-8openalex-snapshot
Inverse of sum of Kronecker products as a sum of Kronecker products
inferredcites →https://doi.org/10.1007/s10846-017-0549-yopenalex-snapshot
Gaussian Process Model Predictive Control of an Unmanned Quadrotor
inferredcites →https://doi.org/10.1016/j.inffus.2021.03.002openalex-snapshot
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers
inferredcites →https://doi.org/10.1016/s0893-6080(98)00032-xopenalex-snapshot
The connection between regularization operators and support vector kernels
inferredcites →https://doi.org/10.1109/access.2020.3038333openalex-snapshot
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning
inferredcites →https://doi.org/10.1109/humanoids.2017.8246971openalex-snapshot
Gaussian process based model predictive controller for imitation learning
inferredcites →https://doi.org/10.1109/iros40897.2019.8968107openalex-snapshot
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
inferredcites →https://doi.org/10.1109/mlsp.2010.5589113openalex-snapshot
Kalman filtering and smoothing solutions to temporal Gaussian process regression models
inferredcites →https://doi.org/10.1109/mlsp.2017.8168130openalex-snapshot
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
inferredcites →https://doi.org/10.1109/tpami.2013.218openalex-snapshot
Gaussian Processes for Data-Efficient Learning in Robotics and Control
inferredcites →https://doi.org/10.1109/tro.2011.2159412openalex-snapshot
Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models
inferredcites →https://doi.org/10.1137/110824784openalex-snapshot
Stable Evaluation of Gaussian Radial Basis Function Interpolants
inferredcites →https://doi.org/10.1142/9335openalex-snapshot
Kernel-based Approximation Methods using MATLAB
inferredcites →https://doi.org/10.1163/016918609x12529286896877openalex-snapshot
Model Learning with Local Gaussian Process Regression
inferredcites →https://doi.org/10.1515/math-2017-0096openalex-snapshot
Representing derivatives of Chebyshev polynomials by Chebyshev polynomials and related questions
inferredcites →https://doi.org/10.1561/2200000036openalex-snapshot
Kernels for Vector-Valued Functions: A Review
inferredcites →https://doi.org/10.2139/ssrn.3344332openalex-snapshot
Financial Applications of Gaussian Processes and Bayesian Optimization
inferredcites →https://doi.org/10.48550/arxiv.1309.6835openalex-snapshot
Gaussian Processes for Big Data
inferredcites →https://doi.org/10.48550/arxiv.1401.0362openalex-snapshot
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
inferredcites →https://doi.org/10.48550/arxiv.1711.10127openalex-snapshot
Variational Inference for Gaussian Process Models with Linear Complexity
inferredcites →https://doi.org/10.48550/arxiv.1809.08820openalex-snapshot
Orthogonally Decoupled Variational Gaussian Processes
inferredcites →https://doi.org/10.48550/arxiv.2001.05363openalex-snapshot
Doubly Sparse Variational Gaussian Processes
inferredcites →https://doi.org/10.5555/1046920.1194909openalex-snapshot
A Unifying View of Sparse Approximate Gaussian Process Regression
inferredcites →https://doi.org/10.5555/1756006.1859914openalex-snapshot
Sparse Spectrum Gaussian Process Regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4772838openalex-extracted
Parallel Gaussian Process with Kernel Approximation in Cuda
inferred← citeshttps://doi.org/10.1007/s00158-023-03669-8openalex-snapshot
Gradient-based adaptive sampling framework and application in the laser-driven ion acceleration
inferred← citeshttps://doi.org/10.1007/s10994-025-06819-9openalex-snapshot
Federated causal inference from observational data
inferred← citeshttps://doi.org/10.1007/s11222-025-10644-4openalex-snapshot
DGP-LVM: Derivative Gaussian process latent variable models
inferred← citeshttps://doi.org/10.1007/s11222-026-10869-xopenalex-snapshot
Hilbert space methods for approximating multi-output latent variable Gaussian processes
inferred← citeshttps://doi.org/10.1007/s11581-024-06049-4openalex-snapshot
A decade of machine learning in lithium-ion battery state estimation: a systematic review
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.107366openalex-snapshot
A multi-output Gaussian process regression with negative transfer mitigation for generating boundary test scenarios of multi-UAV systems
inferred← citeshttps://doi.org/10.1080/0305215x.2022.2138366openalex-snapshot
A multi-output model based on extreme learning machine with application in the multi-objective optimization of a dental implant
inferred← citeshttps://doi.org/10.1109/tii.2024.3396347openalex-snapshot
Multioutput Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity
inferred← citeshttps://doi.org/10.1146/annurev-control-022624-013742openalex-snapshot
Geometric Structures for Learning and Optimization in Robotics
inferred← citeshttps://doi.org/10.2139/ssrn.5248232openalex-snapshot
A Multi-Output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-Uav Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5248237openalex-snapshot
A Multi-Output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-Uav Systems
inferred← citeshttps://doi.org/10.3390/batteries11010031openalex-snapshot
Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
inferred← citeshttps://doi.org/10.3390/s25216577openalex-snapshot
Tone Mapping of HDR Images via Meta-Guided Bayesian Optimization and Virtual Diffraction Modeling
inferred← citeshttps://doi.org/10.48022/mbl.2501.01013openalex-snapshot
Comparative Analysis of Gaussian Process Regression, Richards Model, and Polynomial Regression for Modeling Bacterial Growth Dynamics of Proteus Mirabilis
inferred← citeshttps://doi.org/10.48550/arxiv.2106.00456openalex-snapshot
Federated Estimation of Causal Effects from Observational Data
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.