Kernels for Vector-Valued Functions: a Review

30 June 2011

Papers citing "Kernels for Vector-Valued Functions: a Review"

13 / 13 papers shown

Title
Multi-Output Gaussian Processes for Graph-Structured Data Ayano Nakai-Kasai Tadashi Wadayama 52 0 0 22 May 2025
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra Vidhi Lalchand Anna-Christina Eilers 78 0 0 27 Feb 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 93 2 0 22 Feb 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 124 0 0 20 Jan 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models Yassir Bendou Amine Ouasfi Vincent Gripon A. Boukhayma VLM 89 0 0 19 Jan 2025
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke Cyril Furtlehner 108 1 0 14 Dec 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 70 0 0 31 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 111 1 0 21 Oct 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$ -algebraic Kernel Machines Yuka Hashimoto Ayoub Hafid Masahiro Ikeda Hachem Kadri 52 1 0 28 May 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 68 2 0 22 Feb 2024
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization M. Turchetta Andreas Krause Sebastian Trimpe OffRL 36 42 0 29 Oct 2019
System Identification through Online Sparse Gaussian Process Regression with Input Noise Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 73 41 0 29 Jan 2016
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 81 509 0 11 Sep 2008