| Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 162, 15293-15329, 2022 | 117 | 2022 |
| Causal machine learning for predicting treatment outcomes S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal, K Hess, A Curth, ... Nature Medicine 30 (4), 958-968, 2024 | 112 | 2024 |
| Unsupervised anomaly detection for X-ray images D Davletshina, V Melnychuk, V Tran, H Singla, M Berrendorf, E Faerman, ... arXiv preprint arXiv:2001.10883, 2020 | 29 | 2020 |
| Estimating average causal effects from patient trajectories D Frauen, T Hatt, V Melnychuk, S Feuerriegel AAAI Conference on Artificial Intelligence, 2023 | 27 | 2023 |
| Knowledge graph entity alignment with graph convolutional networks: Lessons learned M Berrendorf, E Faerman, V Melnychuk, V Tresp, T Seidl Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 27 | 2020 |
| Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 21 | 2023 |
| Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 202, 24361-24397, 2023 | 19 | 2023 |
| Bayesian neural controlled differential equations for treatment effect estimation K Hess, V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | 16 | 2024 |
| Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model V Melnychuk, D Frauen, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 13 | 2023 |
| A Neural Framework for Generalized Causal Sensitivity Analysis D Frauen, F Imrie, A Curth, V Melnychuk, S Feuerriegel, M van der Schaar International Conference on Learning Representations (ICLR), 2024 | 11 | 2024 |
| Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | 11 | 2024 |
| Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 9 | 2023 |
| Fair off-policy learning from observational data D Frauen, V Melnychuk, S Feuerriegel International Conference on Machine Learning (ICML), 2024 | 7 | 2024 |
| Conformal prediction for causal effects of continuous treatments M Schröder, D Frauen, J Schweisthal, K Heß, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2407.03094, 2024 | 4 | 2024 |
| G-transformer for conditional average potential outcome estimation over time K Hess, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2405.21012, 2024 | 2 | 2024 |
| Counterfactual fairness for predictions using generative adversarial networks Y Ma, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2310.17687, 2023 | 2 | 2023 |
| Orthogonal representation learning for estimating causal quantities V Melnychuk, D Frauen, J Schweisthal, S Feuerriegel arXiv preprint arXiv:2502.04274, 2025 | 1 | 2025 |
| DiffPO: A causal diffusion model for learning distributions of potential outcomes Y Ma, V Melnychuk, J Schweisthal, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2024 | 1 | 2024 |
| Matching the clinical reality: Accurate OCT-based diagnosis from few labels V Melnychuk, E Faerman, I Manakov, T Seidl arXiv preprint arXiv:2010.12316, 2020 | 1 | 2020 |
| Differentially private learners for heterogeneous treatment effects M Schröder, V Melnychuk, S Feuerriegel International Conference on Learning Representations (ICLR), 2025 | | 2025 |
Stefan FeuerriegelProfessor, LMU MunichVerified email at lmu.de
