Computational Hypergraph Discovery, a Gaussian Process framework for
connecting the dots

Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots

28 November 2023

Ricardo Baptista

Nicolas Rouquette

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Papers citing "Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots"

16 / 16 papers shown

Title
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs Pau Batlle Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 65 18 0 08 May 2023
Kernel Methods are Competitive for Operator Learning Pau Batlle Matthieu Darcy Bamdad Hosseini H. Owhadi 70 40 0 26 Apr 2023
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes Yifan Chen H. Owhadi F. Schafer 68 31 0 03 Apr 2023
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels Matthieu Darcy B. Hamzi Giulia Livieri H. Owhadi P. Tavallali 102 27 0 24 Sep 2022
Computational Graph Completion H. Owhadi 74 25 0 20 Oct 2021
Solving and Learning Nonlinear PDEs with Gaussian Processes Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 71 157 0 24 Mar 2021
Learning Continuous Exponential Families Beyond Gaussian C. Ren Sidhant Misra Marc Vuffray A. Lokhov 63 5 0 18 Feb 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods B. Hamzi R. Maulik H. Owhadi AI4TS 52 29 0 13 Feb 2021
Learning non-Gaussian graphical models via Hessian scores and triangular transport Ricardo Baptista Youssef Marzouk Rebecca E. Morrison O. Zahm 71 23 0 08 Jan 2021
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks H. Owhadi 131 14 0 10 Aug 2020
Learning dynamical systems from data: a simple cross-validation perspective B. Hamzi H. Owhadi 63 41 0 09 Jul 2020
Sparse Cholesky factorization by Kullback-Leibler minimization Florian Schäfer Matthias Katzfuss H. Owhadi 78 95 0 29 Apr 2020
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure Rajen Dinesh Shah J. Peters 152 303 0 19 Apr 2018
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 90 252 0 07 Jun 2016
Variance components and generalized Sobol' indices Art B. Owen 93 112 0 08 May 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 107 632 0 14 Feb 2012

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