Paul C. Bürkner

Stat. Comput., February, 2024

The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas.

[BibT_eX]

[DOI]

CoRR, 2024

ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos.

[BibT_eX]

[DOI]

Lei Shi

Paul C. Bürkner

Andreas Bulling

CoRR, 2024

2023

BayesFlow: Amortized Bayesian Workflows With Neural Networks.

[BibT_eX]

[DOI]

J. Open Source Softw., October, 2023

A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms.

[BibT_eX]

[DOI]

Ilja Kröker

Sergey Oladyshkin

Wolfgang Nowak

J. Comput. Phys., September, 2023

Amortized Bayesian Model Comparison With Evidential Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Using reference models in variable selection.

[BibT_eX]

[DOI]

Federico Pavone

Juho Piironen

Comput. Stat., March, 2023

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming.

[BibT_eX]

[DOI]

Gabriel Riutort-Mayol

Michael Riis Andersen

Arno Solin

Stat. Comput., 2023

Consistency Models for Scalable and Fast Simulation-Based Inference.

[BibT_eX]

[DOI]

Valentin Pratz

CoRR, 2023

Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference.

[BibT_eX]

[DOI]

Philipp Reiser

Javier Enrique Aguilar

Anneli Guthke

CoRR, 2023

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Sensitivity-Aware Amortized Bayesian Inference.

[BibT_eX]

[DOI]

Lasse Elsemüller

Hans Olischläger

CoRR, 2023

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.

[BibT_eX]

[DOI]

Daniel Habermann

CoRR, 2023

Inferring Human Intentions from Predicted Action Probabilities.

[BibT_eX]

[DOI]

Lei Shi

Andreas Bulling

CoRR, 2023

A Deep Learning Method for Comparing Bayesian Hierarchical Models.

[BibT_eX]

[DOI]

Lasse Elsemüller

Martin Schnuerch

CoRR, 2023

Jana: Jointly amortized neural approximation of complex Bayesian models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Lorenzo Perini

Arto Klami

Proceedings of the International Conference on Machine Learning, 2023

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Meta-Uncertainty in Bayesian Model Comparison.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison.

[BibT_eX]

[DOI]

Teemu Säilynoja

Stat. Comput., 2022

Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort.

[BibT_eX]

[DOI]

NeuroImage, 2022

Projection Predictive Inference for Generalized Linear and Additive Multilevel Models.

[BibT_eX]

[DOI]

Alejandro Catalina

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Implicitly adaptive importance sampling.

[BibT_eX]

[DOI]

Topi Paananen

Juho Piironen

Stat. Comput., 2021

Poisson regression for linguists: A tutorial introduction to modelling count data with brms.

[BibT_eX]

[DOI]

Bodo Winter

Lang. Linguistics Compass, 2021

Bayesian Item Response Modeling in R with brms and Stan.

[BibT_eX]

[DOI]

J. Stat. Softw., 2021

Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models.

[BibT_eX]

[DOI]

Jonah Gabry

Comput. Stat., 2021

BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Impaired context-sensitive adjustment of behaviour in Parkinson's disease patients tested on and off medication: An fMRI study.

[BibT_eX]

[DOI]

Ima Trempler

NeuroImage, 2020

Amortized Bayesian Inference for Models of Cognition.

[BibT_eX]

[DOI]

Andreas Voss

Eva Marie Wieschen

CoRR, 2020

Flexible Prior Elicitation via the Prior Predictive Distribution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

thurstonianIRT: Thurstonian IRT Models in R.

[BibT_eX]

[DOI]

J. Open Source Softw., 2019

2018

Advanced Bayesian Multilevel Modeling with the R Package brms.

[BibT_eX]

[DOI]