Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2209.01845
Cited By
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
5 September 2022
Patrick W Cannon
Daniel Ward
Sebastian M. Schmon
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Investigating the Impact of Model Misspecification in Neural Simulation-based Inference"
13 / 13 papers shown
Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Anastasia N. Krouglova
Hayden R. Johnson
Basile Confavreux
Michael Deistler
P. J. Gonçalves
71
1
0
17 Feb 2025
Compositional simulation-based inference for time series
Manuel Gloeckler
S. Toyota
Kenji Fukumizu
Jakob H Macke
37
1
0
05 Nov 2024
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai
Yuling Yao
BDL
21
0
0
18 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
35
0
0
22 Jul 2024
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
UQCV
BDL
32
0
0
25 May 2024
Amortized Bayesian Decision Making for simulation-based models
Mila Gorecki
Jakob H. Macke
Michael Deistler
18
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
6
1
0
03 Dec 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
20
10
0
31 Jan 2023
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
24
6
0
15 Dec 2022
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks
Marvin Schmitt
Paul-Christian Burkner
Ullrich Kothe
Stefan T. Radev
22
34
0
16 Dec 2021
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
96
184
0
12 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
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
273
2,878
0
15 Sep 2016
1