2 papers
stat.ML2025
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
Lasse Elsemüller, Valentin Pratz, Mischa von Krause +3
Neural networks are fragile when confronted with data that significantly deviates from their training distribution. This is true in particular for simulation-based inference method…
q-bio.NC2024
Validation and Comparison of Non-Stationary Cognitive Models: A Diffusion Model Application
Lukas Schumacher, Martin Schnuerch, Andreas Voss +1
Cognitive processes undergo various fluctuations and transient states across different temporal scales. Superstatistics are emerging as a flexible framework for incorporating such…