| Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 162, 15293-15329, 2022 | 58 | 2022 |
| 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 | 24 | 2020 |
| 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 | 22 | 2020 |
| Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 202, 24361-24397, 2023 | 13 | 2023 |
| Estimating average causal effects from patient trajectories D Frauen, T Hatt, V Melnychuk, S Feuerriegel AAAI Conference on Artificial Intelligence, 2022 | 13 | 2022 |
| Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 5 | 2023 |
| Bayesian neural controlled differential equations for treatment effect estimation K Hess, V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 2 | 2023 |
| Fair off-policy learning from observational data D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2303.08516, 2023 | 2 | 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), 2023 | 1 | 2023 |
| Counterfactual Fairness for Predictions using Generative Adversarial Networks Y Ma, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2310.17687, 2023 | 1 | 2023 |
| Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2023 | | 2023 |
| 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 | | 2020 |
Dennis FrauenPhD student, LMU MunichVerified email at lmu.de
