GPflow: A Gaussian process library using TensorFlow

27 October 2016

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

50 / 269 papers shown

Title
Geometric constraints improve inference of sparsely observed stochastic dynamics Dimitra Maoutsa AI4CE 30 3 0 02 Apr 2023
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics Francesco Crocetti Jeffrey Mao Alessandro Saviolo G. Costante Giuseppe Loianno GP 14 5 0 14 Mar 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Victor Picheny Joel Berkeley Henry B. Moss Hrvoje Stojić Uri Granta ... Sergio Pascual-Diaz Stratis Markou Jixiang Qing Nasrulloh Loka Ivo Couckuyt 33 17 0 16 Feb 2023
Toward Large Kernel Models Amirhesam Abedsoltan M. Belkin Parthe Pandit 38 16 0 06 Feb 2023
Light-Weight Pointcloud Representation with Sparse Gaussian Process Mahmoud Ali Lantao Liu 11 7 0 26 Jan 2023
Scalable Gaussian Process Inference with Stan Till Hoffmann J. Onnela GP 24 4 0 21 Jan 2023
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems Dimitra Maoutsa 32 1 0 19 Jan 2023
Blockchain For Mobile Health Applications: Acceleration With GPU Computing G. Drakopoulos Michael Marountas Xenophon Liapakis Giannis Tzimas Phivos Mylonas S. Sioutas 11 2 0 11 Jan 2023
GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths Leo Klarner Henry B. Moss Aditya Ravuri Sang T. Truong ... A. Lee Bingqing Cheng Alán Aspuru-Guzik P. Schwaller Jian Tang GP 37 40 0 06 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 23 16 0 03 Dec 2022
The Implicit Delta Method Nathan Kallus James McInerney 23 1 0 11 Nov 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? V. Lalchand W. Bruinsma David R. Burt C. Rasmussen GP 17 6 0 04 Nov 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport M. Bitzer Mona Meister Christoph Zimmer 12 9 0 21 Oct 2022
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees Alexander Terenin David R. Burt A. Artemev Seth Flaxman Mark van der Wilk C. Rasmussen Hong Ge 58 7 0 14 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du UQCV EDL 67 12 0 06 Oct 2022
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature J. H. Mclean Matthew R. Jones Brandon J. O'Connell Eoghan Maguire T. Rogers 27 6 0 30 Sep 2022
Scalable Multi-Agent Lab Framework for Lab Optimization A. Kusne A. McDannald 29 17 0 19 Aug 2022
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 48 15 0 12 Jul 2022
Memory Safe Computations with XLA Compiler A. Artemev Tilman Roeder Mark van der Wilk 37 8 0 28 Jun 2022
Nonparametric Multi-shape Modeling with Uncertainty Quantification Hengrui Luo Justin Strait 25 3 0 18 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament Carla P. Gomes 23 8 0 16 Jun 2022
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution Julia Moosbauer Giuseppe Casalicchio Marius Lindauer B. Bischl 35 2 0 11 Jun 2022
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification Juan Maroñas Daniel Hernández-Lobato 24 6 0 30 May 2022
Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation Alec M. Dunton Benjamin W. Priest Amanda Muyskens GP 32 3 0 22 May 2022
Probabilistic Models for Manufacturing Lead Times Recep Yusuf Bekci Yacine Mahdid Jinling Xing Nikita Letov Ying Zhang Zahid Pasha 27 0 0 28 Apr 2022
Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation Peng Tao Xiaohu Hao Jie Cheng Luonan Chen AI4TS 9 0 0 26 Apr 2022
Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed Toni Karvonen Chris J. Oates GP 11 26 0 17 Mar 2022
Non-Parametric Modeling of Spatio-Temporal Human Activity Based on Mobile Robot Observations Marvin Stuede Moritz Schappler 24 3 0 14 Mar 2022
Video is All You Need: Attacking PPG-based Biometric Authentication Lin Li Chao Chen Lei Pan Jun Zhang Yang Xiang AAML 21 13 0 02 Mar 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains Haitao Liu Kai Wu Yew-Soon Ong Chao Bian Xiaomo Jiang Xiaofang Wang 24 7 0 25 Feb 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-Shan Shiu A. Bernacchia 33 18 0 08 Feb 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 24 12 0 17 Jan 2022
Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations Ibrahim Chahrour J. Wells 18 12 0 29 Nov 2021
Non-separable Spatio-temporal Graph Kernels via SPDEs A. Nikitin S. T. John Arno Solin Samuel Kaski AI4TS 33 17 0 16 Nov 2021
Dual Parameterization of Sparse Variational Gaussian Processes Vincent Adam Paul E. Chang Mohammad Emtiyaz Khan Arno Solin 29 20 0 05 Nov 2021
Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck William J. Wilkinson Niki A. Loppi Arno Solin Theodoros Damoulas AI4TS 24 31 0 02 Nov 2021
Aligned Multi-Task Gaussian Process O. Mikheeva Ieva Kazlauskaite Adam Hartshorne Hedvig Kjellström Carl Henrik Ek Neill D. F. Campbell AI4TS 13 2 0 29 Oct 2021
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation Arno Solin Ella Tamir Prakhar Verma 25 19 0 29 Oct 2021
Periodic Activation Functions Induce Stationarity Lassi Meronen Martin Trapp Arno Solin BDL 25 20 0 26 Oct 2021
GaussED: A Probabilistic Programming Language for Sequential Experimental Design Matthew A. Fisher Onur Teymur Chris J. Oates 40 1 0 15 Oct 2021
Nonnegative spatial factorization F. W. Townes Barbara E. Engelhardt 18 11 0 12 Oct 2021
Contextual Combinatorial Bandits with Changing Action Sets via Gaussian Processes Andi Nika Sepehr Elahi Cem Tekin 30 2 0 05 Oct 2021
Dimension Reduction for Data with Heterogeneous Missingness Yurong Ling Zijing Liu Jing-Hao Xue 16 0 0 24 Sep 2021
Risk-Aware Motion Planning in Partially Known Environments Fernando S Barbosa Bruno Lacerda Paul Duckworth Jana Tumova Nick Hawes 47 25 0 23 Sep 2021
Barely Biased Learning for Gaussian Process Regression David R. Burt A. Artemev Mark van der Wilk 18 0 0 20 Sep 2021
Active Learning in Gaussian Process State Space Model H. Yu Dingling Yao Christoph Zimmer Marc Toussaint D. Nguyen-Tuong GP 22 4 0 30 Jul 2021
3D Radar Velocity Maps for Uncertain Dynamic Environments Ransalu Senanayake Kyle Hatch J. Zheng Mykel J. Kochenderfer 11 1 0 23 Jul 2021
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers Daniel T. Chang BDL UQCV 21 1 0 14 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 30 41 0 08 Jul 2021