https://proceedings.neurips.cc/paper/2020/hash/fcf55a303b71b84d326fb1d06e332a26-Abstract.html
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
square rootsgaussian processesfastmatrixapplications
https://eprints.whiterose.ac.uk/id/eprint/120667/
Automatic kernel selection for Gaussian processes regression with approximate Bayesian computation...
gaussian processesautomatickernelselectionregression
https://proceedings.nips.cc/paper_files/paper/2025/hash/0122ad3e4a752438562297553bbf9049-Abstract-Conference.html
Robust and Computation-Aware Gaussian Processes
gaussian processesrobustcomputationaware
https://groovesquid.com/paper/summary-of-scalable-bayesian-inference-in-the-era-of-deep-learning-from-gaussian-processes-to-deep-neural-networks-by-javier-antoran/
Summary of Scalable Bayesian Inference in the Era Of Deep Learning: From Gaussian Processes to Deep...
Jul 13, 2025 - Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks by Javier Antoran First submitted to arxiv on: 29 Apr 2
bayesian inferencethe eradeep learninggaussian processessummary
https://www.tcs.tifr.res.in/web/events/1656
Sparsifying suprema of Gaussian processes
gaussian processessuprema
https://osuva.uwasa.fi/items/5a5a3277-7a4d-41c0-a4e6-9664d8fc193c
Fredholm representation of multi-parameter Gaussian processes with applications to equivalence in...
We show that every multiparameter Gaussian process with integrable variance function admits a Wiener integral representation of Fredholm type with respect to...
gaussian processesrepresentationmultiparameterapplications
https://researchr.org/publication/XiangNZZ16
Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression -...
gaussian processescollusionresistantspatialphenomena
https://aaltodoc.aalto.fi/items/98faca34-e405-4ed0-9c84-8cd6178d8b20
Approximate state-space Gaussian processes via spectral transformation
State-space representations of Gaussian process regression use Kalman filtering and smoothing theory to downscale the computational complexity of the...
gaussian processesapproximatestatespacevia
https://aclanthology.org/D14-1190/
Joint Emotion Analysis via Multi-task Gaussian Processes - ACL Anthology
Daniel Beck, Trevor Cohn, Lucia Specia. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014.
emotion analysisgaussian processesjointviamulti
https://repository.mines.edu/entities/publication/711c6f59-a25b-4f50-bb5a-65833c699334
Quantitative assessment of metabolic health using dynamical systems informed by Gaussian processes
As glucose enters the bloodstream after a meal, the beta cells of the pancreas release the hormone insulin to signal glucose uptake by tissues throughout the...
metabolic healthdynamical systemsgaussian processesquantitativeassessment
https://khazna.ku.ac.ae/en/publications/understanding-smoothness-of-vector-gaussian-processes-on-product-/
Understanding Smoothness of Vector Gaussian Processes on Product Spaces - Khalifa University
gaussian processesunderstandingsmoothnessvectorproduct
https://www.catalyzex.com/paper/a-framework-for-nonstationary-gaussian
A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
A Framework for Nonstationary Gaussian Processes with Neural Network Parameters: Paper and Code. Gaussian processes have become a popular tool for...
gaussian processesneural networkframeworkparameters
https://api.deepai.org/publication/nonstationary-multivariate-gaussian-processes-for-electronic-health-records
Nonstationary Multivariate Gaussian Processes for Electronic Health Records | DeepAI
Oct 13, 2019 - 10/13/19 - We propose multivariate nonstationary Gaussian processes for jointly modeling multiple clinical variables, where the key parameter...
electronic health recordsgaussian processesdeepai
https://arxiv.org/abs/1810.03052
[1810.03052] Deep convolutional Gaussian processes
Abstract page for arXiv paper 1810.03052: Deep convolutional Gaussian processes
gaussian processesdeep
https://uwspace.uwaterloo.ca/items/32d68807-97a8-4b7a-bae6-36a8184eb34e
Planning Under Uncertainty: Informative and Stochastic Path Planning via Gaussian Processes
Autonomous systems operating in real-world environments often face uncertainty due to incomplete or noisy information about their surroundings. Effective...
gaussian processesplanninguncertaintyinformativestochastic
https://vivo.colorado.edu/display/pubid_306909
Nonrigid Registration Using Gaussian Processes and Local Likelihood Estimation | CU Experts | CU...
gaussian processesregistrationusinglocallikelihood
https://www.deisenroth.cc/publication/deisenroth-2015-b/
Distributed Gaussian Processes | Marc Deisenroth
gaussian processesmarc deisenrothdistributed
https://www.th-owl.de/elsa/record/12812
Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0
gaussian processesanomaly detectionin industrytowardsautomatic
https://impact.ornl.gov/en/publications/comparison-between-gaussian-processes-and-dmd-surrogates-for-isot/
Comparison between Gaussian processes and DMD surrogates for isotopic composition prediction - Oak...
gaussian processescomparisondmdsurrogatescomposition
https://openreview.net/forum?id=FwVmM8Zol_8
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels |...
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independant Projected Kernels
gaussian processesvectorvaluedmanifoldsvia
https://is.mpg.de/publications/wengeretal22b
Posterior and Computational Uncertainty in Gaussian Processes | MPI-IS
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
gaussian processesposteriorcomputationaluncertaintympi
https://orbi.uliege.be/handle/2268/131334
ORBi: Decoding spontaneous brain activity from fMRI using Gaussian Processes: tracking brain...
brain activitygaussian processesorbidecodingspontaneous
https://jmlr.org/papers/v22/21-0072.html
A general linear-time inference method for Gaussian Processes on one dimension
gaussian processeson onegenerallineartime
https://www.ijsrp.org/research-paper-0717.php?rp=P676589
New Kernel Function in Gaussian Processes Model
New Kernel Design Technique was presented in the form of the sum of Linear Kernel, the multiplication of 3 Kernel Functions, including Squared Exponential...
gaussian processesnewkernelfunctionmodel
https://calbridge.org/my_keywords/time-series-modeling-using-gaussian-processes/
Time series modeling using Gaussian Processes - Calbridge
Professor: Dongwook Lee Description: The project will explore numerical approaches to modeling time series data when solving ordinary differential equations....
time seriesgaussian processesmodelingusingcalbridge
https://iq.opengenus.org/intuitive-introduction-to-gaussian-process/
Intuitive Introduction to Gaussian Processes
Sep 14, 2019 - Gaussian Process is a non-parametric model that can be used to represent a distribution over functions.
introduction togaussian processesintuitive
https://www.cs.cit.tum.de/en/sccs/news/news/article/martin-klapacz-multifidelity-gaussian-processes-for-uncertainty-quantification/
Martin Klapacz: Multifidelity Gaussian Processes for Uncertainty Quantification - Chair of...
gaussian processesuncertainty quantificationmartinchair
https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/16481
Dagstuhl Seminar 16481: New Directions for Learning with Kernels and Gaussian Processes
dagstuhl seminarnew directionsfor learninggaussian processeskernels
https://theclimatelink.org/gaussian-processes/
Gaussian Processes | Global Climate Research Portal
gaussian processesglobal climateresearch portal
https://scholars.duke.edu/publication/1048104
Scholars@Duke publication: Mechanistic Hierarchical Gaussian Processes.
gaussian processesscholarsdukepublicationmechanistic
https://pubmed.ncbi.nlm.nih.gov/37769241/
An improved rhythmicity analysis method using Gaussian Processes detects cell-density dependent...
ODeGP is available at https://github.com/Shaonlab/ODeGP.
gaussian processescell densityimprovedanalysismethod
https://babel.isa.uma.es/kipr/?p=1155
A kind of reinforcement learning that decouples modelling from planning using Gaussian Processes...
kind ofreinforcement learninggaussian processesmodellingplanning
https://k4all.org/2010/08/gaussian-processes-for-machine-learning-toolbox-3-0/
Gaussian Processes for Machine Learning Toolbox 3.0 | Knowledge 4 All Foundation Ltd.
gaussian processesmachine learningall foundationtoolboxknowledge
https://kuscholarworks.ku.edu/entities/publication/9095de5d-2c90-45e7-a7f6-b13dd4a4eae8
Hitting Times for Gaussian Processes
See article for abstract.
gaussian processeshittingtimes
https://researchconnect.stonybrook.edu/en/publications/cardiotocography-analysis-by-empirical-dynamic-modeling-and-gauss/
Cardiotocography analysis by empirical dynamic modeling and Gaussian processes - Stony Brook...
gaussian processesstony brookanalysisempiricaldynamic
https://www.jstatsoft.org/article/view/v019i02
Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package...
gaussian processesbayesiansmoothingusingfourier
https://uwcscholar.uwc.ac.za/items/93f59499-f9d7-45c0-973f-ad6f8d6f3788
Using sparse gaussian processes for predicting robust inertial confinement fusion implosion yields
Here we present the application of an advanced Sparse Gaussian Process based machine learning algorithm to the challenge of predicting the yields of inertial...
gaussian processesusingsparserobustinertial
https://www.proceedings.com/079017-2148.html
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical...
The world's premier source for conference proceedings, offering Print-on-Demand, DOI, and Content Hosting services.
gaussian processesfor learninghhdgpincorporating
https://bytez.com/docs/arxiv/1807.02537/paper
Fully Scalable Gaussian Processes using Subspace Inducing Inputs | Read Paper on Bytez
Jul 6, 2018 - We introduce fully scalable Gaussian processes, an implementation scheme that tackles the problem of treating a high number of training instances together with...
fully scalablegaussian processesread paperusingsubspace
https://indico.nikhef.nl/event/4875/contributions/20443/
EuCAIFCon 2024 (April 30, 2024 - May 3, 2024): Gaussian processes for managing model uncertainty in...
Note: This indico page is used for handling abstract submission. To register for the conference please go to the EuCAIFCon24 registration website. Conference...
gaussian processesaprilmaymanagingmodel
https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2022.1057807/full
Frontiers | Cardiotocography analysis by empirical dynamic modeling and Gaussian processes
During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). This is the most widely adopted ap...
gaussian processesfrontiersanalysisempiricaldynamic
https://www.eurecom.fr/en/publication/5279
Random feature expansions for deep Gaussian processes | EURECOM
random featuregaussian processesexpansionsdeepeurecom
https://digilab.uwr.edu.pl/en/dlibra/publication/115496/a-note-on-ldp-for-supremum-of-gaussian-processes-over-infinite-horizon-debicki-krzysztof
A note on LDP for supremum of Gaussian processes over infinite horizon - DigiLab - Scientific...
a notegaussian processesldpinfinitehorizon
https://www.copilotly.com/hi/ai-glossary/gaussian-processes
Gaussian Processes | AI Technology Definition | Copilotly Glossary
Discover Gaussian processes, versatile probabilistic models used in machine learning for regression and classification tasks with uncerta... | Learn the...
gaussian processesai technologydefinitionglossary
https://multirobotsystems.org/?q=node/1200&page=3
MGPRL: Distributed Multi-Gaussian Processes for Wi-Fi-based Multi-Robot Relative Localization in...
gaussian processeswi fidistributedmultibased
https://researchportalplus.anu.edu.au/en/publications/ssspang-stellar-spectra-as-sparse-non-gaussian-processes/
SSSpaNG: Stellar Spectra as Sparse Non-Gaussian Processes - The Australian National University
gaussian processesthe australiannational universitystellarspectra
https://proceedings.iclr.cc/paper_files/paper/2024/hash/706338a08f9378b708f21cbf5686e617-Abstract-Conference.html
Stochastic Gradient Descent for Gaussian Processes Done Right
gradient descentgaussian processesstochasticdoneright