Kernel Identification Through Transformers

v1v2 (latest)

Kernel Identification Through Transformers

15 June 2021

ArXiv (abs)PDF HTML

Papers citing "Kernel Identification Through Transformers"

9 / 9 papers shown

Title
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 109 2 0 10 Feb 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 104 8 0 20 Oct 2024
On the Identifiability and Interpretability of Gaussian Process Models Jiawen Chen W. Mu Yun Li Didong Li 23 3 0 25 Oct 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 55 4 0 06 Jul 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 150 9 0 19 Jun 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels M. Bitzer Mona Meister Christoph Zimmer 73 9 0 16 Jun 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 96 4 0 22 Feb 2023
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas Griffiths BDL SyDa 79 8 0 11 Aug 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 112 42 0 08 Jun 2022