ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.13624
  4. Cited By
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio
  Estimation

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation

29 August 2022
Arnaud Delaunoy
Joeri Hermans
François Rozet
Antoine Wehenkel
Gilles Louppe
ArXivPDFHTML

Papers citing "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation"

17 / 17 papers shown
Title
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Henrik Häggström
Sebastian Persson
Marija Cvijovic
Umberto Picchini
24
0
0
15 Apr 2025
Simulation-based Inference for Cardiovascular Models
Simulation-based Inference for Cardiovascular Models
Antoine Wehenkel
Laura Manduchi
Jens Behrmann
Guillermo Sapiro
Andrew C. Miller
Marco Cuturi
Ozan Sener
Marco Cuturi
J. Jacobsen
96
9
0
31 Dec 2024
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Arnaud Delaunoy
Maxence de la Brassinne Bonardeaux
S. Mishra-Sharma
Gilles Louppe
33
2
0
27 Aug 2024
Addressing Misspecification in Simulation-based Inference through
  Data-driven Calibration
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
51
8
0
14 May 2024
Simulation-Based Inference with Quantile Regression
Simulation-Based Inference with Quantile Regression
He Jia
20
2
0
04 Jan 2024
Direct Amortized Likelihood Ratio Estimation
Direct Amortized Likelihood Ratio Estimation
Adam D. Cobb
Brian Matejek
Daniel Elenius
Anirban Roy
Susmit Jha
11
2
0
17 Nov 2023
Calibrating Neural Simulation-Based Inference with Differentiable
  Coverage Probability
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Maciej Falkiewicz
Naoya Takeishi
Imahn Shekhzadeh
Antoine Wehenkel
Arnaud Delaunoy
Gilles Louppe
Alexandros Kalousis
19
6
0
20 Oct 2023
Simulation-based inference using surjective sequential neural likelihood
  estimation
Simulation-based inference using surjective sequential neural likelihood estimation
Simon Dirmeier
Carlo Albert
F. Pérez-Cruz
16
6
0
02 Aug 2023
L-C2ST: Local Diagnostics for Posterior Approximations in
  Simulation-Based Inference
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
J. Linhart
Alexandre Gramfort
Pedro L. C. Rodrigues
14
6
0
06 Jun 2023
Flow Matching for Scalable Simulation-Based Inference
Flow Matching for Scalable Simulation-Based Inference
Maximilian Dax
J. Wildberger
Simon Buchholz
Stephen R. Green
Jakob H. Macke
Bernhard Schölkopf
16
48
0
26 May 2023
Learning Robust Statistics for Simulation-based Inference under Model
  Misspecification
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
38
30
0
25 May 2023
Amortized Variational Inference with Coverage Guarantees
Amortized Variational Inference with Coverage Guarantees
Yash P. Patel
Declan McNamara
J. Loper
Jeffrey Regier
Ambuj Tewari
BDL
21
0
0
23 May 2023
Balancing Simulation-based Inference for Conservative Posteriors
Balancing Simulation-based Inference for Conservative Posteriors
Arnaud Delaunoy
Benjamin Kurt Miller
Patrick Forré
Christoph Weniger
Gilles Louppe
33
9
0
21 Apr 2023
AI for Science: An Emerging Agenda
AI for Science: An Emerging Agenda
Philipp Berens
Kyle Cranmer
Neil D. Lawrence
U. V. Luxburg
Jessica Montgomery
20
4
0
07 Mar 2023
Misspecification-robust Sequential Neural Likelihood for
  Simulation-based Inference
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
Detecting Model Misspecification in Amortized Bayesian Inference with
  Neural Networks
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
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
96
184
0
12 Jan 2021
1