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Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

8 December 2023

Philipp Reiser

Javier Enrique Aguilar

A. Guthke

Paul-Christian Bürkner

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Papers citing "Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference"

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Title
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer Philipp Reiser Tim Brünnette Wolfgang Nowak A. Guthke Paul-Christian Bürkner 59 0 0 13 May 2025
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 149 34 0 17 Apr 2024
Improved uncertainty quantification for neural networks with Bayesian last layer F. Fiedler S. Lucia UQCV BDL 131 14 0 21 Feb 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev Marvin Schmitt Valentin Pratz Umberto Picchini Ullrich Kothe Paul-Christian Bürkner BDL 299 32 0 17 Feb 2023
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 127 90 0 08 Sep 2022
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms Paul-Christian Bürkner Ilja Kroker S. Oladyshkin Wolfgang Nowak 70 10 0 12 Apr 2022
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models J. Kuehnert D. McGlynn S. Remy Aisha Walcott-Bryant Anne Jones Ibm Research Africa OOD 40 3 0 12 Apr 2022
Deep Surrogate for Direct Time Fluid Dynamics Lucas Meyer Louen Pottier Alejandro Ribés Bruno Raffin AI4CE 59 7 0 16 Dec 2021
Simulation Intelligence: Towards a New Generation of Scientific Methods Alexander Lavin D. Krakauer Hector Zenil Justin Emile Gottschlich Tim Mattson ... A. Hanuka Manuela Veloso Samuel A. Assefa Stephan Zheng Avi Pfeffer 148 112 0 06 Dec 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 81 389 0 29 Apr 2021
Penalised t-walk MCMC F. Medina-Aguayo A. Christen 96 3 0 03 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 659 2,471 0 18 Oct 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 90 290 0 24 Feb 2020
Calibrate, Emulate, Sample Emmet Cleary A. Garbuno-Iñigo Shiwei Lan T. Schneider Andrew M. Stuart 112 105 0 10 Jan 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 268 1,444 0 21 Oct 2019
Integrated Nested Laplace Approximations (INLA) S. Martino A. Riebler 89 54 0 02 Jul 2019
Automatic Reparameterisation of Probabilistic Programs Maria I. Gorinova Dave Moore Matthew D. Hoffman 71 29 0 07 Jun 2019
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 74 96 0 04 Oct 2018
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error Jiangjiang Zhang Q. Zheng Dingjiang Chen Laosheng Wu L. Zeng 88 36 0 10 Jul 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018
Advanced Bayesian Multilevel Modeling with the R Package brms Paul-Christian Bürkner 70 1,922 0 31 May 2017
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 133 721 0 02 Mar 2016
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 164 4,095 0 16 Jul 2015
Adaptive construction of surrogates for the Bayesian solution of inverse problems Jinglai Li Youssef M. Marzouk 91 118 0 21 Sep 2013
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 238 4,326 0 18 Nov 2011