GPflow: A Gaussian process library using TensorFlow

27 October 2016

Papers citing "GPflow: A Gaussian process library using TensorFlow"

50 / 269 papers shown

Title
GPRat: Gaussian Process Regression with Asynchronous Tasks Maksim Helmann Alexander Strack Dirk Pflüger GP 43 0 0 30 Apr 2025
HiGP: A high-performance Python package for Gaussian Process Hua Huang Tianshi Xu Yuanzhe Xi Edmond Chow GP 64 4 0 04 Mar 2025
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems Wei-Ting Tang Ankush Chakrabarty J. Paulson 81 0 0 31 Dec 2024
Fast pick-freeze estimation of Sobol' sensitivity maps using basis expansions Yuri Sao Olivier Roustant Geraldo de Freitas Maciel 67 0 0 11 Dec 2024
Gearing Gaussian process modeling and sequential design towards stochastic simulators M. Binois A. Fadikar Abby Stevens 82 0 0 10 Dec 2024
Fast training of large kernel models with delayed projections Amirhesam Abedsoltan Siyuan Ma Parthe Pandit Mikhail Belkin 71 0 0 25 Nov 2024
Real-time experiment-theory closed-loop interaction for autonomous materials science Haotong Liang Chuangye Wang Heshan Yu Dylan Kirsch Rohit K. Pant A. McDannald A. Kusne Ji-Cheng Zhao Ichiro Takeuchi 24 0 0 22 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie Shiqiang Zhang J. Paulson Calvin Tsay 33 5 0 22 Oct 2024
Modelling 1/f Noise in TRNGs via Fractional Brownian Motion Maciej Skorski 21 1 0 18 Oct 2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior Wang Xinming Li Yongxiang Yue Xiaowei Wu Jianguo 26 0 0 05 Sep 2024
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation Wang Xinming Wang Chao Song Xuan Kirby Levi Wu Jianguo 24 7 0 04 Sep 2024
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations Jian Xu Zhiqi Lin Min Chen Junmei Yang Delu Zeng John Paisley 40 0 0 12 Aug 2024
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices Frida Viset Anton Kullberg Frederiek Wesel Arno Solin 45 0 0 05 Aug 2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P. Mostowsky Vincent Dutordoir I. Azangulov Noémie Jaquier Michael John Hutchinson Aditya Ravuri Leonel Rozo Alexander Terenin Viacheslav Borovitskiy 40 5 0 10 Jul 2024
Visual-Geometry GP-based Navigable Space for Autonomous Navigation Mahmoud Ali Durgkant Pushp Zheng Chen Lantao Liu 52 0 0 09 Jul 2024
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo Hester Huijsdens D. Leeftink Linda Geerligs Max Hinne 37 0 0 07 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 49 4 0 07 Jun 2024
Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks Francesco Zanetta D. Nerini Matteo Buzzi Henry Moss 29 0 0 21 May 2024
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics Kislaya Ravi Vladyslav Fediukov Felix Dietrich T. Neckel Fabian Buse Michael Bergmann H. Bungartz AI4CE 39 6 0 18 Apr 2024
Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search Can Bogoclu Robert Vosshall K. Cremanns Dirk Roos BDL 25 1 0 23 Mar 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization Bach Do Taiwo A. Adebiyi Ruda Zhang 44 4 0 01 Mar 2024
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays Ruby Sedgwick John P. Goertz Molly M. Stevens Ruth Misener Mark van der Wilk BDL 35 0 0 27 Feb 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds James T. Wilson 41 4 0 26 Feb 2024
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference G. Edenhofer Philipp Frank Jakob Roth R. Leike Massin Guerdi L. Scheel-Platz M. Guardiani Vincent Eberle M. Westerkamp T. Ensslin 35 9 0 26 Feb 2024
Autonomous Mapless Navigation on Uneven Terrains Hassan Jardali Mahmoud Ali Lantao Liu 21 4 0 21 Feb 2024
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes Sebastian W. Ober A. Artemev Marcel Wagenlander Rudolfs Grobins Mark van der Wilk GP 18 1 0 15 Feb 2024
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles Yanlong Zang Han Yang Jiaxu Miao Yi Yang DiffM 27 1 0 20 Jan 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance Taicai Chen Yue Duan Dong Li Lei Qi Yinghuan Shi Yang Gao BDL DRL 37 5 0 28 Dec 2023
On the Nystrom Approximation for Preconditioning in Kernel Machines Amirhesam Abedsoltan Parthe Pandit Luis Rademacher Misha Belkin 29 3 0 06 Dec 2023
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence Shengbo Wang Ke Li 18 11 0 06 Dec 2023
Gaussian Processes for Monitoring Air-Quality in Kampala Clara Stoddart Lauren Shrack Richard Sserunjogi Usman Abdul-Ganiy Engineer Bainomugisha Deo Okure Ruth Misener Jose Pablo Folch Ruby Sedgwick 22 1 0 28 Nov 2023
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning A. Kusne A. McDannald Brian L. DeCost 23 2 0 10 Nov 2023
deform: An R Package for Nonstationary Spatial Gaussian Process Models by Deformations and Dimension Expansion Benjamin D. Youngman 21 0 0 09 Nov 2023
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 28 10 0 01 Nov 2023
Large-Scale Gaussian Processes via Alternating Projection Kaiwen Wu Jonathan Wenger Haydn Thomas Jones Geoff Pleiss Jacob R. Gardner 48 8 0 26 Oct 2023
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression Kevin Li Max Balakirsky Simon Mak 27 2 0 23 Oct 2023
Thin and Deep Gaussian Processes Daniel Augusto R. M. A. de Souza Alexander Nikitin S. T. John Magnus Ross Mauricio A. Alvarez M. Deisenroth Joao P. P. Gomes Diego Mesquita C. L. C. Mattos 28 5 0 17 Oct 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior Luke Travis Kolyan Ray 24 4 0 29 Sep 2023
A Unifying Variational Framework for Gaussian Process Motion Planning Lucas Cosier Rares Iordan Sicelukwanda Zwane Giovanni Franzese James T. Wilson M. Deisenroth Alexander Terenin Yasemin Bekiroglu 3DV 32 4 0 02 Sep 2023
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes Talay M Cheema C. Rasmussen GP 33 2 0 27 Aug 2023
Gaussian Process Regression for Maximum Entropy Distribution Mohsen Sadr M. Torrilhon M. H. Gorji GP 14 17 0 11 Aug 2023
Inferring epidemic dynamics using Gaussian process emulation of agent-based simulations Abdulrahman A. Ahmed M. Amin Rahimian Mark Roberts 11 3 0 22 Jul 2023
GP-Frontier for Local Mapless Navigation Mahmoud Ali Lantao Liu 18 11 0 21 Jul 2023
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments Ihab S. Mohamed Mahmoud Ali Lantao Liu 29 15 0 08 Jul 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels M. Bitzer Mona Meister Christoph Zimmer 30 9 0 16 Jun 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization Kamil Dreczkowski Antoine Grosnit Haitham Bou-Ammar 26 7 0 16 Jun 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 37 1 0 16 Jun 2023
Long-Term Autonomous Ocean Monitoring with Streaming Samples Weizhe (Wesley) Chen Lantao Liu 28 3 0 11 Jun 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models Rui Li S. T. John Arno Solin BDL 22 3 0 07 Jun 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes Louis C. Tiao Vincent Dutordoir Victor Picheny BDL 17 0 0 27 Apr 2023