Graphical Causal Models and Imputing Missing Data: A Preliminary Study. - Rui Jorge Almeida; Greetje Adriaans; Yuliya Shapovalova (IPMU (1), 2020)

"Exact" and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study. - Yuliya Shapovalova (Entropy, 2021)

Multivariate Count Data Models for Time Series Forecasting. - Yuliya Shapovalova; Nalan Bastürk; Michael Eichler (Entropy, 2021)

Non-parametric synergy modeling of chemical compounds with Gaussian processes. - Yuliya Shapovalova; Tom Heskes; Tjeerd Dijkstra (BMC Bioinform., 2022)

Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid. - Charlotte Cambier van Nooten; Tom van de Poll; Sonja Füllhase; Jacco Heres; Tom Heskes; Yuliya Shapovalova (CoRR, 2023)

Acquiring Better Load Estimates by Combining Anomaly and Change-point Detection in Power Grid Time-series Measurements. - Roel Bouman; Linda Schmeitz; Luco Buise; Jacco Heres; Yuliya Shapovalova; Tom Heskes (CoRR, 2024)

Imitation Learning for Intra-Day Power Grid Operation through Topology Actions. - Matthijs de Jong; Jan Viebahn; Yuliya Shapovalova (CoRR, 2024)

Offline Changepoint Detection With Gaussian Processes. - Janneke Verbeek; Tom Heskes; Yuliya Shapovalova (UAI, 2025)

Generalizable Graph Neural Networks for Robust Power Grid Topology Control. - Matthijs de Jong; Jan Viebahn; Yuliya Shapovalova (CoRR, 2025)