Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 162, 15293-15329, 2022 | 80 | 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 | 28 | 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 | 26 | 2020 |
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 | 25 | 2020 |
Estimating average causal effects from patient trajectories D Frauen, T Hatt, V Melnychuk, S Feuerriegel AAAI Conference on Artificial Intelligence, 2023 | 20 | 2023 |
Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML) 202, 24361-24397, 2023 | 16 | 2023 |
Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 11 | 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 | 7 | 2024 |
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 | 6 | 2024 |
Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 6 | 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 | 4 | 2023 |
Fair off-policy learning from observational data D Frauen, V Melnychuk, S Feuerriegel International Conference on Machine Learning (ICML), 2024 | 3 | 2024 |
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 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 |
G-Transformer for Conditional Average Potential Outcome Estimation over Time K Hess, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2405.21012, 2024 | 1 | 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 | | 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 | | 2020 |