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Simulation-based prior knowledge elicitation for parametric Bayesian models

Scientific reports, 2024-07, Vol.14 (1), p.17330-13, Article 17330

2024

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OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

PLoS computational biology, 2021-10, Vol.17 (10), p.e1009472-e1009472

2021

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Neural superstatistics for Bayesian estimation of dynamic cognitive models

Scientific reports, 2023-08, Vol.13 (1), p.13778-13778, Article 13778

2023

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Impulsivity Moderates the Effect of Neurofeedback Training on the Contingent Negative Variation in Autism Spectrum Disorder

Frontiers in human neuroscience, 2022-04, Vol.16, p.838080-838080

2022

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Measuring QCD Splittings with Invertible Networks

SciPost physics, 2021-06, Vol.10 (6), p.126, Article 126

2021

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Mental speed is high until age 60 as revealed by analysis of over a million participants

Nature human behaviour, 2022-05, Vol.6 (5), p.700-708

2022

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Gamma Band Oscillations Reflect Sensory and Affective Dimensions of Pain

Frontiers in neurology, 2022-01, Vol.12, p.695187-695187

2022

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Repeated Sessions of Transcranial Direct Current Stimulation on Adolescents With Autism Spectrum Disorder: Study Protocol for a Randomized, Double-Blind, and Sham-Controlled Clinical Trial

Frontiers in psychiatry, 2021-08, Vol.12, p.680525

2021

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BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1452-1466

2022

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Stability and Change in Diffusion Model Parameters over Two Years

Journal of intelligence, 2021-05, Vol.9 (2), p.26

2021

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Neural dynamics of pain modulation by emotional valence

Cerebral cortex (New York, N.Y. 1991), 2024-09, Vol.34 (9)

2024

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A deep learning method for comparing Bayesian hierarchical models

Psychological methods, 2024-05

2024

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Age-Related Differences in Decision-Making: Evidence Accumulation is More Gradual in Older Age

Experimental aging research, 2024-10, Vol.50 (5), p.537-549

2024

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Amortized Bayesian Model Comparison With Evidential Deep Learning

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.4903-4917

2023

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Towards end‐to‐end likelihood‐free inference with convolutional neural networks

British journal of mathematical & statistical psychology, 2020-02, Vol.73 (1), p.23-43

2020

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Data Resource Profile: The Global School-based Student Health Survey—behavioural risk and protective factors among adolescents

International journal of epidemiology, 2023-04, Vol.52 (2), p.e102-e109

2023

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A Bayesian brain model of adaptive behavior: an application to the Wisconsin Card Sorting Task

PeerJ (San Francisco, CA), 2020-11, Vol.8, p.e10316-e10316, Article e10316

2020

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Multisession tDCS combined with intrastimulation training improves emotion recognition in adolescents with autism spectrum disorder

Neurotherapeutics, 2024-10, p.e00460, Article e00460

2024

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Effects of Transcranial Direct Current Stimulation on Social Attention Patterns and Emotion Recognition Ability in Male Adolescents with Autism Spectrum Disorder

Journal of clinical medicine, 2023-08, Vol.12 (17), p.5570

2023

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Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks

Pattern Recognition, p.541-557

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Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application

Computational brain & behavior, 2024-10

2024

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OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

PLoS computational biology, 2021-10, Vol.17 (10), p.e1009472

2021

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Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy

Statistics surveys, 2023-01, Vol.17 (none)

2023

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BayesFlow: Amortized Bayesian Workflows With Neural Networks

Journal of open source software, 2023-09, Vol.8 (89), p.5702

2023

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Age-Related Differences in Decision-Making: Evidence Accumulation is More Gradual in Older Age

Experimental Aging Research, 2024, Vol.50 (5), p.537-549

2024

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Simulation-based prior knowledge elicitation for parametric Bayesian models

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

Neural superstatistics for Bayesian estimation of dynamic cognitive models

Impulsivity Moderates the Effect of Neurofeedback Training on the Contingent Negative Variation in Autism Spectrum Disorder

Measuring QCD Splittings with Invertible Networks

Mental speed is high until age 60 as revealed by analysis of over a million participants

Gamma Band Oscillations Reflect Sensory and Affective Dimensions of Pain

Repeated Sessions of Transcranial Direct Current Stimulation on Adolescents With Autism Spectrum Disorder: Study Protocol for a Randomized, Double-Blind, and Sham-Controlled Clinical Trial

BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks

Stability and Change in Diffusion Model Parameters over Two Years

Neural dynamics of pain modulation by emotional valence

A deep learning method for comparing Bayesian hierarchical models

Age-Related Differences in Decision-Making: Evidence Accumulation is More Gradual in Older Age

Amortized Bayesian Model Comparison With Evidential Deep Learning

Towards end‐to‐end likelihood‐free inference with convolutional neural networks

Data Resource Profile: The Global School-based Student Health Survey—behavioural risk and protective factors among adolescents

A Bayesian brain model of adaptive behavior: an application to the Wisconsin Card Sorting Task

Multisession tDCS combined with intrastimulation training improves emotion recognition in adolescents with autism spectrum disorder

Effects of Transcranial Direct Current Stimulation on Social Attention Patterns and Emotion Recognition Ability in Male Adolescents with Autism Spectrum Disorder

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks

Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Age-Related Differences in Decision-Making: Evidence Accumulation is More Gradual in Older Age

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