4 citations · 5 across the 3 of their papers we have counts for
3 papers
Inferring response times of perceptual decisions with Poisson variational autoencoders
Hayden R. Johnson, Anastasia N. Krouglova, Hadi Vafaii +2
Many properties of perceptual decision making are well-modeled by deep neural networks. However, such architectures typically treat decisions as instantaneous readouts, overlooking…
Simulation-Based Inference: A Practical Guide
Michael Deistler, Jan Boelts, Peter Steinbach +11
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers…
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
Anastasia N. Krouglova, Hayden R. Johnson, Basile Confavreux +2
Across many domains of science, stochastic models are an essential tool to understand the mechanisms underlying empirically observed data. Models can be of different levels of deta…