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2003.01115
Cited By
A Framework for Interdomain and Multioutput Gaussian Processes
2 March 2020
Mark van der Wilk
Vincent Dutordoir
S. T. John
A. Artemev
Vincent Adam
J. Hensman
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Papers citing
"A Framework for Interdomain and Multioutput Gaussian Processes"
50 / 52 papers shown
Graph Random Features for Scalable Gaussian Processes
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J. Lin
K. Choromanski
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Tianshi Xu
Yuanzhe Xi
Edmond Chow
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305
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04 Mar 2025
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
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Kaiwen Wu
Philipp Hennig
Jacob R. Gardner
Geoff Pleiss
John P. Cunningham
407
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01 Nov 2024
Residual Deep Gaussian Processes on Manifolds
International Conference on Learning Representations (ICLR), 2024
Kacper Wyrwal
Andreas Krause
Viacheslav Borovitskiy
BDL
308
3
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31 Oct 2024
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
Chao Huang
Wenshuo Zang
Carlo Pinciroli
Zhi Jane Li
Taposh Banerjee
Lili Su
Rui Liu
198
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25 Sep 2024
Implementation and Analysis of GPU Algorithms for Vecchia Approximation
Zachary James
Joseph Guinness
268
1
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03 Jul 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
Xinxing Shi
Thomas Baldwin-McDonald
Mauricio A. Álvarez
484
1
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01 Jul 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Neural Information Processing Systems (NeurIPS), 2024
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
264
24
0
07 Jun 2024
Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks
Paul A. Ardis
A. Flenner
AAML
FAtt
BDL
187
1
0
13 Mar 2024
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics
Arina Odnoblyudova
Caglar Hizli
S. T. John
Andrea Cognolato
A. Juuti
Simo Särkkä
Kirsi Pietiläinen
Pekka Marttinen
168
1
0
06 Nov 2023
Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes
Electronic Journal of Statistics (EJS), 2023
Philip Stange
D. Ginsbourger
113
1
0
11 Oct 2023
Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Tina L. Y. Wu
A. Murphy
Chao Chen
Dana Kulić
162
1
0
14 Aug 2023
Beyond Intuition, a Framework for Applying GPs to Real-World Data
K. Tazi
J. Lin
Ross Viljoen
A. Gardner
S. T. John
Hong Ge
Richard Turner
GP
345
6
0
06 Jul 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
International Conference on Machine Learning (ICML), 2023
Louis C. Tiao
Vincent Dutordoir
Victor Picheny
BDL
282
1
0
27 Apr 2023
Actually Sparse Variational Gaussian Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Harry Jake Cunningham
Daniel Augusto R. M. A. de Souza
So Takao
Mark van der Wilk
M. Deisenroth
342
9
0
11 Apr 2023
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
Kalvik Jakkala
Srinivas Akella
593
4
0
28 Feb 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
Neural Information Processing Systems (NeurIPS), 2022
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
462
57
0
06 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS
Digital Discovery (DD), 2022
Gary Tom
Riley J. Hickman
Aniket N. Zinzuwadia
A. Mohajeri
Benjamín Sánchez-Lengeling
A. Aspuru‐Guzik
278
27
0
03 Dec 2022
Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
S. Axen
A. Gessner
C. Sommer
N. Weitzel
Álvaro Tejero-Cantero
158
1
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15 Nov 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Neural Information Processing Systems (NeurIPS), 2022
V. Lalchand
W. Bruinsma
David R. Burt
C. Rasmussen
GP
256
9
0
04 Nov 2022
Nonparametric Multi-shape Modeling with Uncertainty Quantification
Hengrui Luo
Justin Strait
408
4
0
18 Jun 2022
Neural Diffusion Processes
International Conference on Machine Learning (ICML), 2022
Vincent Dutordoir
Alan D. Saul
Zoubin Ghahramani
F. Simpson
DiffM
439
51
0
08 Jun 2022
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
International Conference on Machine Learning (ICML), 2022
Juan Maroñas
Daniel Hernández-Lobato
396
9
0
30 May 2022
Safe Active Learning for Multi-Output Gaussian Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Cen-You Li
Barbara Rakitsch
Christoph Zimmer
UQCV
331
23
0
28 Mar 2022
Variational Nearest Neighbor Gaussian Process
International Conference on Machine Learning (ICML), 2022
Luhuan Wu
Geoff Pleiss
John P. Cunningham
BDL
597
18
0
03 Feb 2022
Dual Parameterization of Sparse Variational Gaussian Processes
Neural Information Processing Systems (NeurIPS), 2021
Vincent Adam
Paul E. Chang
Mohammad Emtiyaz Khan
Arno Solin
270
27
0
05 Nov 2021
Validating Gaussian Process Models with Simulation-Based Calibration
John Mcleod
F. Simpson
248
3
0
27 Oct 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
M. Hutchinson
Alexander Terenin
Viacheslav Borovitskiy
So Takao
Yee Whye Teh
M. Deisenroth
529
29
0
27 Oct 2021
Nonnegative spatial factorization
F. W. Townes
Barbara E. Engelhardt
177
12
0
12 Oct 2021
Gaussian Process for Trajectories
Kien Nguyen
John Krumm
Cyrus Shahabi
GP
119
3
0
07 Oct 2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
Liwei Wang
Suraj Yerramilli
Akshay Iyer
D. Apley
Ping Zhu
Wei Chen
287
29
0
26 Jun 2021
Last Layer Marginal Likelihood for Invariance Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Pola Schwobel
Martin Jørgensen
Sebastian W. Ober
Mark van der Wilk
BDL
UQCV
245
31
0
14 Jun 2021
Gaussian Processes on Hypergraphs
Thomas Pinder
K. Turnbull
Christopher Nemeth
David Leslie
158
5
0
03 Jun 2021
Empirical Models for Multidimensional Regression of Fission Systems
A. Dave
Jiankai Yu
Jarod N Wilson
B. Phillips
K. Sun
Benoit Forget
149
1
0
30 May 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Neural Information Processing Systems (NeurIPS), 2021
Vincent Dutordoir
J. Hensman
Mark van der Wilk
Carl Henrik Ek
Zoubin Ghahramani
N. Durrande
BDL
UQCV
356
33
0
10 May 2021
Discovering Diverse Athletic Jumping Strategies
ACM Transactions on Graphics (TOG), 2021
Zhiqi Yin
Zeshi Yang
M. van de Panne
KangKang Yin
301
53
0
02 May 2021
GPflux: A Library for Deep Gaussian Processes
Vincent Dutordoir
Hugh Salimbeni
Eric Hambro
John Mcleod
Felix Leibfried
A. Artemev
Mark van der Wilk
J. Hensman
M. Deisenroth
S. T. John
GP
257
30
0
12 Apr 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
John Mcleod
Hrvoje Stojić
Vincent Adam
Dongho Kim
Jordi Grau-Moya
Peter Vrancx
Felix Leibfried
OffRL
350
2
0
26 Mar 2021
Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation
Riley J. Hickman
Florian Hase
L. Roch
Alán Aspuru-Guzik
254
4
0
05 Mar 2021
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Luhuan Wu
Andrew C. Miller
Lauren Anderson
Geoff Pleiss
David M. Blei
John P. Cunningham
340
9
0
28 Feb 2021
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
Communications in Applied Mathematics and Computational Science (CAMCoS), 2021
M. Noack
J. Sethian
GP
301
28
0
05 Feb 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference
Felix Leibfried
Vincent Dutordoir
S. T. John
N. Durrande
GP
1.5K
66
0
27 Dec 2020
Pathwise Conditioning of Gaussian Processes
James T. Wilson
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
608
77
0
08 Nov 2020
Matérn Gaussian Processes on Graphs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Viacheslav Borovitskiy
I. Azangulov
Alexander Terenin
P. Mostowsky
M. Deisenroth
N. Durrande
522
97
0
29 Oct 2020
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
Reliability Engineering & System Safety (RESS), 2020
A. F. López-Lopera
D. Idier
J. Rohmer
François Bachoc
354
28
0
28 Jul 2020
Sparse Gaussian Processes with Spherical Harmonic Features
Vincent Dutordoir
N. Durrande
J. Hensman
300
58
0
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Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation
Victor Picheny
Vincent Dutordoir
A. Artemev
N. Durrande
186
2
0
25 Jun 2020
Variational Orthogonal Features
David R. Burt
C. Rasmussen
Mark van der Wilk
BDL
DRL
148
12
0
23 Jun 2020
Kernel methods through the roof: handling billions of points efficiently
Giacomo Meanti
Luigi Carratino
Lorenzo Rosasco
Alessandro Rudi
505
128
0
18 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili
Henry B. Moss
A. Artemev
Vincent Dutordoir
Victor Picheny
522
35
0
09 Jun 2020
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