gaussian processes - Robuta Search

https://papers.nips.cc/paper/2021/hash/325eaeac5bef34937cfdc1bd73034d17-Abstract.html Conditioning Sparse Variational Gaussian Processes for Online Decision-making gaussian processes for online conditioning sparse decision https://openreview.net/forum?id=B1EA-M-0Z Deep Neural Networks as Gaussian Processes | OpenReview We show how to make predictions using deep networks, without training deep networks. deep neural networks gaussian processes openreview https://fs.unm.edu/nss8/index.php/111/article/view/7113/3151 View of Neutrosophic Gaussian Processes with Bootstrap Hypothesis Testing for Performance... gaussian processes hypothesis testing view https://intra.kth.se/sci/kalender/gaussian-processes-in-the-age-of-big-data-and-ai-1.1441054?date=2025-12-11&orgdate=2025-09-07&length=1&orglength=116 Gaussian processes in the age of big data and AI | SCI internsidor big data and ai the age of gaussian processes 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 processes posterior computational uncertainty mpi https://hci.iwr.uni-heidelberg.de/node/6143 Weakly Supervised Detection with Gaussian Processes | Heidelberg Collaboratory for Image Processing... gaussian processes supervised detection https://discovery.fiu.edu/display/pub259307 DEEP CONVOLUTIONAL GAUSSIAN PROCESSES FOR MMWAVE OUTDOOR LOCALIZATION gaussian processes deep mmwave outdoor localization https://arxiv.org/abs/2506.22313 [2506.22313] Manifold-Constrained Gaussian Processes for Inference of Mixed-effects Ordinary... Abstract page for arXiv paper 2506.22313: Manifold-Constrained Gaussian Processes for Inference of Mixed-effects Ordinary Differential Equations with... gaussian processes https://hci.iwr.uni-heidelberg.de/node/6079 Variational weakly-supervised Gaussian processes | Heidelberg Collaboratory for Image Processing... gaussian processes supervised heidelberg collaboratory image https://vtechworks.lib.vt.edu/items/865a4b1d-9953-42dd-8983-514d7e9142db/full Hierarchical Gaussian Processes for Spatially Dependent Model Selection In this dissertation, we develop a model selection and estimation methodology for nonstationary spatial fields. Large, spatially correlated data often cover a... gaussian processes hierarchical dependent model selection https://www.mis.mpg.de/events/event/on-inductive-biases-for-gaussian-processes-from-differential-algebra On Inductive Biases for Gaussian Processes from Differential Algebra in Workshop on Differential... gaussian processes inductive biases https://collaborate.princeton.edu/en/publications/distortion-rate-function-of-cyclo-stationary-gaussian-processes/ Distortion rate function of cyclo-stationary Gaussian processes - Princeton University gaussian processes distortion rate function cyclo https://mlinscience.gitlab.io/events/200722_gaussian_proc/ What can Gaussian Processes do for Science? | Machine Learning in Science gaussian processes for science machine learning https://calendar.fiu.edu/event/introduction_to_gaussian_processes_with_melissa_de_jesus Introduction to Gaussian Processes with Melissa De Jesus | FIU Calendar introduction to gaussian processes melissa de jesus https://dibsmethodsmeetings.github.io/gaussian-process/ Understanding Gaussian processes | Duke Institute for Brain Sciences Methods Meetings Jan 27, 2023 - If you have ever tried to analyze time series data, you know that time series present all kinds of statistical challenges. Probably the most challenging aspect... gaussian processes institute for brain sciences understanding duke https://researchdata.gla.ac.uk/283/ Controversy in mechanistic modelling with Gaussian processes - Enlighten Research Data gaussian processes controversy modelling enlighten research https://dukespace.lib.duke.edu/items/37810f71-42b6-4eb8-accc-3db9f200451e/full Logistic Tree Gaussian Processes (LoTGaP) for Microbiome Dynamics and Treatment Effects gaussian processes logistic tree https://research.birmingham.ac.uk/en/activities/low-rank-attention-augmented-gaussian-processes-for-multivariate-/ Low-rank attention augmented Gaussian processes for multivariate data analysis - University of... gaussian processes https://mpra.ub.uni-muenchen.de/11973/ Modeling long-range dependent Gaussian processes with application in continuous-time financial... long range gaussian processes https://speakerdeck.com/dfm/an-astronomers-introduction-to-gaussian-processes-v2 An Astronomer's Introduction to Gaussian Processes (v2) - Speaker Deck Lecture for the Penn State summer school on "Bayesian Computing for Astronomical Data Analysis". introduction to gaussian processes astronomer speaker deck https://vivo.colorado.edu/display/pubid_306909 Nonrigid Registration Using Gaussian Processes and Local Likelihood Estimation | CU Experts | CU... gaussian processes registration using https://portal.fis.tum.de/en/publications/warped-gaussian-processes-for-prognostic-health-monitoring-2/ Warped Gaussian Processes for Prognostic Health Monitoring - Technical University of Munich gaussian processes health monitoring technical university warped prognostic https://vtechworks.lib.vt.edu/items/4c93fce4-bb63-46a1-96ba-e4eeeb57efc2/full Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes We consider uncertainty quantification using surrogate Gaussian processes. We take a previous sampling algorithm and provide a closed form expression of the... uncertainty quantification linear parameter using surrogate https://arxiv.org/abs/cond-mat/0510517 [cond-mat/0510517] Surrogate testing of linear feedback processes with non-Gaussian innovations Abstract page for arXiv paper cond-mat/0510517: Surrogate testing of linear feedback processes with non-Gaussian innovations https://arxiv.org/abs/2505.11355 [2505.11355] Sparse Techniques for Regression in Deep Gaussian Processes Abstract page for arXiv paper 2505.11355: Sparse Techniques for Regression in Deep Gaussian Processes in deep sparse techniques regression gaussian https://researchdata.gla.ac.uk/279/ Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the... https://gmd.copernicus.org/articles/15/1913/2022/gmd-15-1913-2022-metrics.html GMD - Metrics - Emulation of high-resolution land surface models using sparse Gaussian processes... Abstract. Land surface models are typically integrated into global climate projections, but as their spatial resolution increases the prospect of using them to... https://spiral.imperial.ac.uk/entities/publication/fff167ee-085c-42c7-8011-7548dfd362f7 Distributed Gaussian Processes To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts... distributed gaussian processes https://arxiv.org/abs/1601.01544 [1601.01544] State Space representation of non-stationary Gaussian Processes Abstract page for arXiv paper 1601.01544: State Space representation of non-stationary Gaussian Processes state space representation non stationary gaussian https://research.ibm.com/publications/bayesian-design-of-concrete-with-amortized-gaussian-processes-and-multi-objective-optimization Bayesian design of concrete with amortized Gaussian processes and multi-objective optimization for... Bayesian design of concrete with amortized Gaussian processes and multi-objective optimization for Cement and Concrete Research by Olivia P. Pfeiffer et al. https://www.eecs.harvard.edu/~kgajos/papers/2014/huang14active.shtml Active Learning of Intuitive Control Knobs for Synthesizers Using Gaussian Processes active learning control knobs intuitive https://arxiv.org/abs/2302.10364 [2302.10364] Gaussian processes at the Helm(holtz): A more fluid model for ocean currents Abstract page for arXiv paper 2302.10364: Gaussian processes at the Helm(holtz): A more fluid model for ocean currents https://uwspace.uwaterloo.ca/items/809aa1f7-b69e-499d-865a-9c0efa90f87a/full Incorporating Linear Dependencies into Graph Gaussian Processes Graph Gaussian processes are an important technique for learning unknown functions on graphs while quantifying uncertainty. These processes encode prior... incorporating linear dependencies graph gaussian https://arxiv.org/abs/2001.03718 [2001.03718] Fluctuations for matrix-valued Gaussian processes Abstract page for arXiv paper 2001.03718: Fluctuations for matrix-valued Gaussian processes fluctuations matrix valued gaussian processes https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1082624 Active perception and modeling of deformable surfaces using Gaussian processes and position-based... https://github.com/AaltoML/kalman-jax GitHub - AaltoML/kalman-jax: Approximate inference for Markov Gaussian processes using iterated... Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX - AaltoML/kalman-jax https://collaborate.princeton.edu/en/publications/tractable-nonparametric-bayesian-inference-in-poisson-processes-w/ Tractable nonparametric bayesian inference in poisson processes with Gaussian process intensities -... bayesian inference gaussian process tractable https://www.cs.hku.hk/news-events/events/eventdetail/452/-/mortality-surface-modeling-with-gaussian-processes Mortality Surface Modeling With Gaussian Processes surface modeling mortality gaussian processes https://collaborate.princeton.edu/en/publications/random-neural-networks-in-the-infinite-width-limit-as-gaussian-pr/ RANDOM NEURAL NETWORKS IN THE INFINITE WIDTH LIMIT AS GAUSSIAN PROCESSES - Princeton University https://kth.diva-portal.org/smash/record.jsf?faces-redirect=true&language=sv&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1082624&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all Active perception and modeling of deformable surfaces using Gaussian processes and position-based... https://www.simtech2023.uni-stuttgart.de/program/ms/ms4/ms4_eschmann/ Exploration-Exploitation-Based Tracking: Leveraging MPC and Gaussian Processes for High-Accuracy... https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1082624 Active perception and modeling of deformable surfaces using Gaussian processes and position-based... https://arxiv.org/abs/1703.10230 [1703.10230] Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential... Abstract page for arXiv paper 1703.10230: Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations https://github.com/spbu-math-cs/Riemannian-Gaussian-Processes GitHub - spbu-math-cs/Riemannian-Gaussian-Processes: Supplementary code for the NeurIPS 2020 paper... Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds". - spbu-math-cs/Riemannian-Gaussian-Processes https://arxiv.org/abs/1911.06287 [1911.06287] Scalable Exact Inference in Multi-Output Gaussian Processes Abstract page for arXiv paper 1911.06287: Scalable Exact Inference in Multi-Output Gaussian Processes scalable exact inference multi output https://is.mpg.de/publications/chetriher23 Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction | 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... https://sites.google.com/view/inter-domain-dgps/home Inter-domain Deep Gaussian Processes Tim G. J. Rudner*, Dino Sejdinovic, Yarin Gal University of Oxford inter domain deep gaussian processes https://math.nyu.edu/dynamic/calendars/seminars/graduate-student-postdoc-seminar/1831/ Extremal Processes for Some Gaussian Random Fields | Department of Mathematics | NYU Courant department of mathematics https://eo4society.esa.int/results/grounded-eo-data-driven-sentinel-2-lai-and-fapar-retrieval-using-gaussian-processes-trained-with-extensive-fiducial-reference-measurements/ GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with... https://jaxgaussianprocesses.com/ JAX Gaussian Processes JAX Gaussian Processes jax gaussian processes https://arxiv.org/abs/1906.09665 [1906.09665] Compositionally-Warped Gaussian Processes Abstract page for arXiv paper 1906.09665: Compositionally-Warped Gaussian Processes warped gaussian processes https://research.ibm.com/publications/cross-correlations-of-zero-crossings-in-jointly-gaussian-and-stationary-processes-with-zero-means Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means... Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means for ICASSP 2017 by Magnus Mossberg et al. https://sheffield.ac.uk/machine-intelligence/events/ai-nibbles-seminar-using-gaussian-processes-discover-hidden-correlations-experimental-data AI Nibbles Seminar: Using Gaussian Processes to discover hidden correlations in experimental data |... Using Gaussian Processes to discover hidden correlations in experimental data by Professor Nigel Clarke Date: Wednesday 25th September Location: Workroom 1... https://kuscholarworks.ku.edu/entities/publication/35abe412-9aeb-4b37-93b1-9cb8ff1f7e5a Limit distributions for functionals of Gaussian processes This thesis is devoted to the study of the convergence in distribution of functionals of Gaussian processes. Most of the problems that we present are addressed... limit distributions functionals gaussian processes