ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.09665
  4. Cited By
Compositionally-Warped Gaussian Processes

Compositionally-Warped Gaussian Processes

23 June 2019
Gonzalo Rios
Felipe A. Tobar
ArXivPDFHTML

Papers citing "Compositionally-Warped Gaussian Processes"

19 / 19 papers shown
Title
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Zhidi Lin
Ying Li
Feng Yin
Juan Maroñas
Alexandre Thiéry
54
0
0
24 Mar 2025
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
S. Rutherford
T. Wolfers
Charlotte J. Fraza
Nathaniel G. Harrnet
Christian F. Beckmann
H. Ruhé
A. Marquand
CML
56
3
0
26 Jul 2024
Universal Functional Regression with Neural Operator Flows
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
37
3
0
03 Apr 2024
Variational Elliptical Processes
Variational Elliptical Processes
Maria B˙ankestad
Jens Sjölund
Jalil Taghia
Thomas B. Schon
33
2
0
21 Nov 2023
Deep Transformed Gaussian Processes
Deep Transformed Gaussian Processes
Francisco Javier Sáez-Maldonado
Juan Maroñas
Daniel Hernández-Lobato
18
0
0
27 Oct 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian
  Process State-Space Models
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Zhidi Lin
Juan Maroñas
Ying Li
Feng Yin
Sergios Theodoridis
24
3
0
03 Sep 2023
Monte Carlo inference for semiparametric Bayesian regression
Monte Carlo inference for semiparametric Bayesian regression
Daniel R. Kowal
Bo-Hong Wu
20
1
0
08 Jun 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space
  Model
Towards Flexibility and Interpretability of Gaussian Process State-Space Model
Zhidi Lin
Feng Yin
Juan Maroñas
34
7
0
21 Jan 2023
Scalable Bayesian Transformed Gaussian Processes
Scalable Bayesian Transformed Gaussian Processes
Xinran Zhu
Leo Huang
Cameron Ibrahim
E. Lee
D. Bindel
33
1
0
20 Oct 2022
Statistical Deep Learning for Spatial and Spatio-Temporal Data
Statistical Deep Learning for Spatial and Spatio-Temporal Data
C. Wikle
A. Zammit‐Mangion
BDL
27
45
0
05 Jun 2022
Efficient Transformed Gaussian Processes for Non-Stationary Dependent
  Multi-class Classification
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
Juan Maroñas
Daniel Hernández-Lobato
22
6
0
30 May 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization
  Modules for Neural Architecture Search
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search
Hyunghun Cho
Jungwook Shin
Wonjong Rhee
35
7
0
07 Feb 2022
Recent Advances in Data-Driven Wireless Communication Using Gaussian
  Processes: A Comprehensive Survey
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
Kai Chen
Qinglei Kong
Yijue Dai
Yue Xu
Feng Yin
Lexi Xu
Shuguang Cui
38
30
0
18 Mar 2021
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
27
74
0
07 Dec 2020
Bayesian Reconstruction of Fourier Pairs
Bayesian Reconstruction of Fourier Pairs
Felipe A. Tobar
Lerko Araya-Hernández
P. Huijse
Petar M. Djurić
22
5
0
09 Nov 2020
Transforming Gaussian Processes With Normalizing Flows
Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas
Oliver Hamelijnck
Jeremias Knoblauch
Theodoros Damoulas
31
34
0
03 Nov 2020
Gaussian process imputation of multiple financial series
Gaussian process imputation of multiple financial series
T. Wolff
Alejandro Cuevas
Felipe A. Tobar
AI4TS
22
8
0
11 Feb 2020
MOGPTK: The Multi-Output Gaussian Process Toolkit
MOGPTK: The Multi-Output Gaussian Process Toolkit
T. Wolff
Alejandro Cuevas
Felipe A. Tobar
GP
8
45
0
09 Feb 2020
Transport Gaussian Processes for Regression
Transport Gaussian Processes for Regression
Gonzalo Rios
GP
21
6
0
30 Jan 2020
1