Non-linear process convolutions for multi-output Gaussian processes

10 October 2018

Papers citing "Non-linear process convolutions for multi-output Gaussian processes"

7 / 7 papers shown

Title
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 20 1 0 09 Nov 2023
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 38 2 0 29 Aug 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 23 19 0 01 Jan 2023
Infinite-Fidelity Coregionalization for Physical Simulation Shibo Li Zihan Wang Robert M. Kirby Shandian Zhe AI4CE 28 6 0 01 Jul 2022
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 25 13 0 31 May 2021
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 18 14 0 21 Jun 2019