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Lukas Schumacher
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Bayesflow: Amortized bayesian workflows with neural networks
ST Radev, M Schmitt, L Schumacher, L Elsemüller, V Pratz, Y Schälte, ...
arXiv preprint arXiv:2306.16015, 2023
102023
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
6*2023
Duration discrimination: A diffusion decision modeling approach
L Schumacher, A Voss
Attention, Perception, & Psychophysics 85 (2), 560-577, 2023
22023
Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application
L Schumacher, M Schnuerch, A Voss, ST Radev
arXiv preprint arXiv:2401.08626, 2023
2023
Amortized Bayesian Inference with Hybrid Expert-in-the-Loop and Learnable Summary Statistics
ST Radev, L Schumacher
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Articles 1–5