3 papers
stat.ML2026
Directed Graph Topology Inference via Graph Filter Identification
Rasoul Shafipour, Andrei Buciulea, Santiago Segarra +2
We address the problem of inferring a directed network from nodal measurements generated by linear diffusion dynamics on the sought graph. Observations are modeled as the outputs o…
eess.SP2025
Non-negative DAG Learning from Time-Series Data
Samuel Rey, Gonzalo Mateos
This work aims to learn the directed acyclic graph (DAG) that captures the instantaneous dependencies underlying a multivariate time series. The observed data follow a linear struc…
cs.AI2025
Unrolling Dynamic Programming via Graph Filters
Sergio Rozada, Samuel Rey, Gonzalo Mateos +1
Dynamic programming (DP) is a fundamental tool used across many engineering fields. The main goal of DP is to solve Bellman's optimality equations for a given Markov decision proce…