4 papers
Information-Geometric Forward Policy Training in GFlowNets
Yordan Raykov, Rodrigo Veiga
Generative Flow Networks (GFlowNets) have emerged as a flexible framework for amortised inference over discrete and mixed discrete-continuous objects, requiring only an unnormalise…
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics
Ho Fai Po, Akke Mats Houben, Anna-Christina Haeb +4
Understanding how neuronal population activity changes during development and after stimulation is essential for studying neuronal network dynamics. This work examines how visual i…
Shrinkage priors for Bayesian Substitute Confounders
Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1
Multi-cause observational studies contain information about unmeasured confounding through the dependence structure among causes. However, literal imputation of the unobserved conf…
Kernel-based estimators for functional causal effects
Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1
We propose causal effect estimators based on empirical Fréchet means and operator-valued kernels, tailored to functional data spaces. These methods address the challenges of high-…