Stefan T. Radev
Zitiert von
Zitiert von
BayesFlow: Learning complex stochastic models with invertible neural networks
ST Radev, UK Mertens, A Voss, L Ardizzone, U Köthe
IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1452-1466, 2020
Measuring QCD splittings with invertible networks
S Bieringer, A Butter, T Heimel, S Höche, U Köthe, T Plehn, ST Radev
SciPost Physics 10 (6), 126, 2021
Towards end‐to‐end likelihood‐free inference with convolutional neural networks
ST Radev, UK Mertens, A Voss, U Köthe
British Journal of Mathematical and Statistical Psychology 73 (1), 23-43, 2020
Mental speed is high until age 60 as revealed by analysis of over a million participants
M von Krause*, ST Radev*, A Voss
Nature Human Behaviour 6 (5), 700-708, 2022
Amortized Bayesian model comparison with evidential deep learning
ST Radev, M D'Alessandro, UK Mertens, A Voss, U Köthe, PC Bürkner
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4903 - 4917, 2021
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany
ST Radev, F Graw, S Chen, NT Mutters, VM Eichel, T Bärnighausen, ...
PLoS Computational Biology 17 (10), e1009472, 2021
Detecting model misspecification in amortized Bayesian inference with neural networks
M Schmitt, PC Bürkner, U Köthe, ST Radev
arXiv preprint arXiv:2112.08866, 2021
Jumping to conclusion? A Lévy flight model of decision making
EM Wieschen, A Voss, ST Radev
The Quantitative Methods for Psychology 16 (2), 120-132, 2020
Volitional modification of brain activity in adolescents with Autism Spectrum Disorder: A Bayesian analysis of Slow Cortical Potential neurofeedback
L Konicar, ST Radev, K Prillinger, M Klöbl, R Diehm, N Birbaumer, ...
NeuroImage: Clinical 29, 102557, 2021
BayesFlow: Amortized Bayesian workflows with neural networks
ST Radev, M Schmitt, L Schumacher, L Elsemüller, V Pratz, Y Schälte, ...
Journal of Open Source Software 8 (89), 5702, 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
ST Radev, M Schmitt, V Pratz, U Picchini, U Köthe, PC Bürkner
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2023
Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy
PC Bürkner, M Scholz, ST Radev
Statistics Surveys 17, 216-310, 2023
Repeated sessions of transcranial direct current stimulation on adolescents with autism spectrum disorder: study protocol for a randomized, double-blind, and sham-controlled …
K Prillinger, ST Radev, G Amador de Lara, M Klöbl, R Lanzenberger, ...
Frontiers in Psychiatry 12, 680525, 2021
ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison
UK Mertens, A Voss, ST Radev
PLoS ONE 13 (3), e0193981, 2018
Balancing the brain of offenders with psychopathy? Resting state EEG and electrodermal activity after a pilot study of brain self-regulation training
L Konicar, ST Radev, S Silvoni, E Bolinger, R Veit, U Strehl, C Vesely, ...
PLoS ONE 16 (1), e0242830, 2021
Evaluation of neurofeedback learning in patients with ADHD: A systematic review
E Kuznetsova, AVP Veilahti, R Akhundzadeh, S Radev, L Konicar, ...
Applied Psychophysiology and Biofeedback 48 (1), 11-25, 2023
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
M D’Alessandro*, ST Radev*, A Voss, L Lombardi
PeerJ 8, e10316, 2020
Meta-Uncertainty in Bayesian Model Comparison
M Schmitt, ST Radev, PC Bürkner
Proceedings of the 26th International Conference on Artificial Intelligence …, 2023
Neural superstatistics for Bayesian estimation of dynamic cognitive models
L Schumacher, PC Bürkner, A Voss, U Köthe, ST Radev
Scientific Reports 13 (1), 13778, 2023
Gamma band oscillations reflect sensory and affective dimensions of pain
Y Lyu, F Zidda, ST Radev, H Liu, X Guo, S Tong, H Flor, J Andoh
Frontiers in Neurology 12, 695187, 2022
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