Yuliya Shapovalova

According to our database, Yuliya Shapovalova authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Exploring the impact of adaptive rewiring in Graph Neural Networks.

Charlotte Cambier van Nooten, Christos Aronis, Yuliya Shapovalova, Lucia Cavallaro

CoRR, February, 2026

2025

Generalizable Graph Neural Networks for Robust Power Grid Topology Control.

Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova

CoRR, January, 2025

Offline Changepoint Detection With Gaussian Processes.

Janneke Verbeek, Tom Heskes, Yuliya Shapovalova

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

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

2022

Non-parametric synergy modeling of chemical compounds with Gaussian processes.

Yuliya Shapovalova, Tom Heskes, Tjeerd Dijkstra

BMC Bioinform., 2022

2021

Multivariate Count Data Models for Time Series Forecasting.

Yuliya Shapovalova, Nalan Bastürk, Michael Eichler

Entropy, 2021

"Exact" and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study.

Yuliya Shapovalova

Entropy, 2021

2020

Graphical Causal Models and Imputing Missing Data: A Preliminary Study.

Rui Jorge Almeida, Greetje Adriaans, Yuliya Shapovalova

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020