BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
Fuente:
arXiv
Saved in:
| Main Authors: | Kühmichel, Lars, Huang, Jerry M., Pratz, Valentin, Arruda, Jonas, Olischläger, Hans, Habermann, Daniel, Kucharsky, Simon, Elsemüller, Lasse, Mishra, Aayush, Bracher, Niels, Jedhoff, Svenja, Schmitt, Marvin, Bürkner, Paul-Christian, Radev, Stefan T. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sensitivity-Aware Amortized Bayesian Inference
by: Elsemüller, Lasse, et al.
Published: (2023)
by: Elsemüller, Lasse, et al.
Published: (2023)
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025)
by: Kucharský, Šimon, et al.
Published: (2025)
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025)
by: Kucharský, Šimon, et al.
Published: (2025)
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
by: Elsemüller, Lasse, et al.
Published: (2025)
by: Elsemüller, Lasse, et al.
Published: (2025)
Amortized Bayesian Multilevel Models
by: Habermann, Daniel, et al.
Published: (2024)
by: Habermann, Daniel, et al.
Published: (2024)
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
by: Mishra, Aayush, et al.
Published: (2025)
by: Mishra, Aayush, et al.
Published: (2025)
Unsupervised Continual Learning for Amortized Bayesian Inference
by: Mishra, Aayush, et al.
Published: (2026)
by: Mishra, Aayush, et al.
Published: (2026)
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
by: Bracher, Niels, et al.
Published: (2025)
by: Bracher, Niels, et al.
Published: (2025)
Consistency Models for Scalable and Fast Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
Amortized Bayesian Mixture Models
by: Kucharský, Šimon, et al.
Published: (2025)
by: Kucharský, Šimon, et al.
Published: (2025)
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
by: Schmitt, Marvin, et al.
Published: (2024)
by: Schmitt, Marvin, et al.
Published: (2024)
From Mice to Trains: Amortized Bayesian Inference on Graph Data
by: Jedhoff, Svenja, et al.
Published: (2026)
by: Jedhoff, Svenja, et al.
Published: (2026)
Amortized Bayesian Workflow
by: Li, Chengkun, et al.
Published: (2024)
by: Li, Chengkun, et al.
Published: (2024)
Simulations in Statistical Workflows
by: Bürkner, Paul-Christian, et al.
Published: (2025)
by: Bürkner, Paul-Christian, et al.
Published: (2025)
Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
by: Pogorelyuk, Leonid, et al.
Published: (2025)
by: Pogorelyuk, Leonid, et al.
Published: (2025)
BayesFlow: Learning complex stochastic models with invertible neural networks
by: Radev, Stefan T., et al.
Published: (2020)
by: Radev, Stefan T., et al.
Published: (2020)
Efficient Uncertainty Propagation in Bayesian Two-Step Procedures
by: Jedhoff, Svenja, et al.
Published: (2025)
by: Jedhoff, Svenja, et al.
Published: (2025)
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference
by: Schmitt, Marvin, et al.
Published: (2023)
by: Schmitt, Marvin, et al.
Published: (2023)
Testing Hypotheses regarding Covariance and Correlation matrices with the R package CovCorTest
by: Sattler, Paavo, et al.
Published: (2025)
by: Sattler, Paavo, et al.
Published: (2025)
The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas
by: Schmitt, Marvin, et al.
Published: (2024)
by: Schmitt, Marvin, et al.
Published: (2024)
Diffusion Models in Simulation-Based Inference: A Tutorial Review
by: Arruda, Jonas, et al.
Published: (2025)
by: Arruda, Jonas, et al.
Published: (2025)
Inverting Foundation Models of Brain Function with Simulation-Based Inference
by: Bracher, Niels, et al.
Published: (2026)
by: Bracher, Niels, et al.
Published: (2026)
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
by: Müller, Jens, et al.
Published: (2023)
by: Müller, Jens, et al.
Published: (2023)
High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation
by: Eastmond, Condell, et al.
Published: (2026)
by: Eastmond, Condell, et al.
Published: (2026)
Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy
by: Bürkner, Paul-Christian, et al.
Published: (2022)
by: Bürkner, Paul-Christian, et al.
Published: (2022)
Expert-elicitation method for non-parametric joint priors using normalizing flows
by: Bockting, Florence, et al.
Published: (2024)
by: Bockting, Florence, et al.
Published: (2024)
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023)
by: Bockting, Florence, et al.
Published: (2023)
Amortized In-Context Bayesian Posterior Estimation
by: Mittal, Sarthak, et al.
Published: (2025)
by: Mittal, Sarthak, et al.
Published: (2025)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
by: Yuan, Bo, et al.
Published: (2026)
by: Yuan, Bo, et al.
Published: (2026)
Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
by: Säilynoja, Teemu, et al.
Published: (2025)
by: Säilynoja, Teemu, et al.
Published: (2025)
elicito: A Python Package for Expert Prior Elicitation
by: Bockting, Florence, et al.
Published: (2025)
by: Bockting, Florence, et al.
Published: (2025)
Modeling multi-agent motion dynamics in immersive rooms
by: Huang, Jerry M., et al.
Published: (2025)
by: Huang, Jerry M., et al.
Published: (2025)
Características de pacientes con enfermedad coronaria egresados de un hospital de tercer nivel de atención en México
by: Ma. Teresa Pratz Andrade
Published: (2016)
by: Ma. Teresa Pratz Andrade
Published: (2016)
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
by: Scheurer, Stefania, et al.
Published: (2025)
by: Scheurer, Stefania, et al.
Published: (2025)
Ocean acidification alleviates low-temperature effects on growth and photosynthesis of the red alga Neosiphonia harveyi (Rhodophyta)
by: Olischläger, Mark, et al.
Published: (2013)
by: Olischläger, Mark, et al.
Published: (2013)
Simulation-based validation of Bayes factor computation
by: Modrák, Martin, et al.
Published: (2025)
by: Modrák, Martin, et al.
Published: (2025)
BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025)
by: Vero, Mark, et al.
Published: (2025)
Backend-agnostic Julia framework for 3D modeling and inversion of gravity data
by: Nimatullah, et al.
Published: (2026)
by: Nimatullah, et al.
Published: (2026)
Similar Items
-
Sensitivity-Aware Amortized Bayesian Inference
by: Elsemüller, Lasse, et al.
Published: (2023) -
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025) -
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
by: Kucharský, Šimon, et al.
Published: (2025) -
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
by: Elsemüller, Lasse, et al.
Published: (2025) -
Amortized Bayesian Multilevel Models
by: Habermann, Daniel, et al.
Published: (2024)