Stefan T. Radev

TU Dortmund University — Germany

Computer Science · Physical Sciences

14h-index708citations96works1.42yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(19), Neural dynamics and brain function(12), Bayesian Modeling and Causal Inference(12), Neural and Behavioral Psychology Studies(9), Functional Brain Connectivity Studies(9)

Publications96 total

Does political trust strengthen democracy? A cross-national longitudinal analysis
International Political Science Review·2026
Generalization in neural posterior estimation: Case studies with the racing diffusion model
2026Open Access
Generalization in neural posterior estimation: Case studies with the racing diffusion model
PsyArXiv (OSF Preprints)·2026Open Access
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
arXiv (Cornell University)·2025Open Access
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
ArXiv.org·2025Open Access
Learning the determinants of human behavior
PsyArXiv (OSF Preprints)·2025Open Access
Learning the determinants of human behavior
2025Open Access
Diffusion Models in Simulation-Based Inference: A Tutorial Review
ArXiv.org·2025Open Access
Diffusion Models in Simulation-Based Inference: A Tutorial Review
arXiv (Cornell University)·2025· 1 citedOpen Access
Real-time wide-field fluorescence lifetime imaging via single-snapshot acquisition for biomedical applications
PhotoniX·2025· 2 citedOpen Access
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
arXiv (Cornell University)·2025Open Access
Generalization in neural posterior estimation: Case studies with the racing diffusion model
2025Open Access
Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
arXiv (Cornell University)·2025Open Access
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
arXiv (Cornell University)·2025Open Access
Scaling Cognitive Modeling to Big Data: A Deep Learning Approach to Studying Individual Differences in Evidence Accumulation Model Parameters
2025Open Access
Amortized Bayesian Workflow for Modeling Congruency Effects Using the Diffusion Model for Conflict Tasks
2025Open Access
Bridging simulations and observations: New insights into galaxy formation simulations via out-of-distribution detection and Bayesian model comparison
Astronomy and Astrophysics·2025Open Access
Expert-elicitation method for non-parametric joint priors using normalizing flows
Statistics and Computing·2025· 1 cited
Lévy Versus Wiener: Assessing the Effects of Model Misspecification on Diffusion Model Parameters
Computational Brain & Behavior·2025Open Access
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Paul‐Christian Bürkner(20), Ullrich Köthe(16), Andreas Voß(15), Marvin Schmitt(8), Lilian Konicar(7), Lukas Schumacher(6), Luise Poustka(6), Ulf K. Mertens(5), Lasse Elsemüller(5), Karin Prillinger(5), Paul L. Plener(5), Martin Schnuerch(4), Xavier Intes(4), Valentin Pratz(3), Eva Marie Wieschen(3), Manfred Klöbl(3), Rupert Lanzenberger(3), Marco D’Alessandro(3), Gabriel Amador de Lara(3), Vikas Pandey(3)