Investigating the Impact of Model Misspecification in Neural Simulation-based Inference

5 September 2022

Papers citing "Investigating the Impact of Model Misspecification in Neural Simulation-based Inference"

28 / 28 papers shown

Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 79 1 0 17 Feb 2025
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 45 1 0 05 Nov 2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis Paxson Swierc Marcos Tamargo-Arizmendi A. Ćiprijanović Brian D. Nord 33 1 0 21 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 31 0 0 18 Oct 2024
A Comprehensive Guide to Simulation-based Inference in Computational Biology Xiaoyu Wang Ryan P. Kelly A. Jenner D. Warne Christopher C. Drovandi 33 3 0 29 Sep 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 51 0 0 22 Jul 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 37 6 0 05 Jun 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 64 8 0 14 May 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 37 4 0 21 Apr 2024
Amortized Bayesian Decision Making for simulation-based models Mila Gorecki Jakob H. Macke Michael Deistler 22 1 0 05 Dec 2023
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers Guy Moss V. Višnjević Olaf Eisen Falk M. Oraschewski Cornelius Schroder Jakob H. Macke R. Drews 11 1 0 03 Dec 2023
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks Namid R Stillman R. Baggott Justin Lyon Jianfei Zhang Dingqui Zhu Tao Chen Perukrishnen Vytelingum 27 1 0 20 Nov 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 23 7 0 17 Oct 2023
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference Vincent D. Zaballa E. Hui 29 2 0 27 Jun 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 40 30 0 25 May 2023
Bayesian calibration of differentiable agent-based models Arnau Quera-Bofarull Ayush Chopra Anisoara Calinescu Michael Wooldridge Joel Dyer 26 9 0 24 May 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 22 11 0 24 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 19 13 0 24 May 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 35 4 0 07 Mar 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 25 10 0 31 Jan 2023
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 29 6 0 15 Dec 2022
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 19 36 0 12 Oct 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 22 55 0 11 Oct 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 24 34 0 16 Dec 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 184 0 12 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016