4 citations · 8 across the 13 of their papers we have counts for
14 papers
Scaffold-Constrained Subset Dynamic Programming for Exact SSE Clustering
Yordan P. Raykov, Max A. Little
Exact Euclidean \(K\)-means partitions \(n\) observations into \(K\) unlabelled clusters, but the unrestricted search is generally exponential. We use data-derived geometric graphs…
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…
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-d…
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…
TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications
Kasper Claes, Valentina Ticcinelli, Reham Badawy +3
Digital sensors are increasingly being used to monitor the change over time of physiological processes in biological health and disease, often using wearable devices. This generate…