Curriculum Vitae
Education
- PhD. in Computer Science, Ludwig Maximilian University of Munich, 2021 - Present
- M.S. in Data Science, Ludwig Maximilian University of Munich, 2018 - 2021
- B.S. in System Analysis, National Technical University of Ukraine ”Igor Sikorsky Kyiv Polytechnic Institute”, 2014 - 2018
Publications
Peer-reviewed
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
K. Hess, V. Melnychuk, D. Frauen, S. Feuerriegel. Accepted at ICLR, 2024A Neural Framework for Generalized Causal Sensitivity Analysis
D. Frauen, F. Imrie, A. Curth, V. Melnychuk, S. Feuerriegel, M. van der Schaar. Accepted at ICLR, 2024Sharp Bounds for Generalized Causal Sensitivity Analysis
D. Frauen, V. Melnychuk, S. Feuerriegel. Accepted at NeurIPS, 2023Reliable Off-Policy Learning for Dosage Combinations
J. Schweisthal, D. Frauen, V. Melnychuk, S. Feuerriegel. Accepted at NeurIPS, 2023Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
V. Melnychuk, D. Frauen, S. Feuerriegel. Accepted at NeurIPS, 2023Normalizing Flows for Interventional Density Estimation
V. Melnychuk, D. Frauen, S. Feuerriegel. Accepted at ICML, 2023Estimating Average Causal Effects from Patient Trajectories
D. Frauen, T. Hatt, V. Melnychuk, S. Feuerriegel. Accepted at AAAI, 2023Causal Transformer for Estimating Counterfactual Outcomes
V. Melnychuk, D. Frauen, S. Feuerriegel. Accepted at ICML, 2022Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
M. Berrendorf, E. Faerman, V. Melnychuk, V. Tresp, T. Seidl. Accepted at ECIR, 2020
Pre-prints
Counterfactual Fairness for Predictions using Generative Adversarial Networks
Y. Ma, D. Frauen, V. Melnychuk, S. Feuerriegel. ArXiv preprint, 2023Fair Off-Policy Learning from Observational Data
D. Frauen, V. Melnychuk, S. Feuerriegel. ArXiv preprint, 2023Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
V. Melnychuk, E. Faerman, I. Manakov, T. Seidl. ArXiv preprint, 2020Unsupervised Anomaly Detection for X-Ray Images
D. Davletshina, V. Melnychuk, V. Tran, H. Singla, M. Berrendorf, E. Faerman, M. Fromm, M. Schubert. ArXiv preprint, 2020
Talks
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Presentation at 2nd Munich CausalML Workshop, LMU Munich, Munich, Germany
ICML 2022 & 2023 papers
Presentation at 1st Munich CausalML Workshop, LMU Munich, Munich, Germany
Causal Transformer for Estimating Counterfactual Outcomes, ICML 2022 paper
Presentation at Causality Discussion Group, online
Academic activities
- Research stay at van der Schaar Lab at the University of Cambridge, Feb-May 2024
- Reviewer at AISTATS 2024
- Reviewer at ICLR 2024
- Top reviewer at NeurIPS 2023
- Teacher assistant at Nordic Probabilistic AI School 2023
- Top reviewer at AISTATS 2023
Work experience
- Research Assistant, Fraunhofer Institute for Integrated Circuits IIS (Munich, Germany), 2019 - 2021
- Intern Data Scientist, Beehiveor Academy and R&D Labs (Kyiv, Ukraine), 2018
- Junior Java Developer, ProFIX (Kyiv, Ukraine), 2017 - 2018
Honors & Awards
- Associated PhD student at Konrad Zuse School of Excellence in Reliable AI (relAI), since 2023
- LMU Study Scholarship for International Students, 2019
- Ukrainian Team Programming Olympiad, 2016
Languages
- English - C1.2+
- German - C1.1
- Ukrainian - native speaker
Volunteer Activity
- Volunteer, NGO “Agency For Free Development” (Kyiv, Ukraine), 2016 - 2018
- Member / activist, IASA Student Council (Kyiv, Ukraine), 2015 - 2016