| Nonlinear causal link estimation under hidden confounding with an application to time series anomaly detection VT Trifunov, M Shadaydeh, J Runge, V Eyring, M Reichstein, J Denzler German Conference on Pattern Recognition, 261-273, 2019 | 12 | 2019 |
| Anomaly attribution of multivariate time series using counterfactual reasoning VT Trifunov, M Shadaydeh, B Barz, J Denzler 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 6 | 2021 |
| A data-driven approach to partitioning net ecosystem exchange using a deep state space model VT Trifunov, M Shadaydeh, J Runge, M Reichstein, J Denzler IEEE Access 9, 107873-107883, 2021 | 6 | 2021 |
| Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions VT Trifunov, M Shadaydeh, J Denzler arXiv preprint arXiv:2209.11497, 2022 | 1 | 2022 |
| Causal link estimation under hidden confounding in ecological time series VT Trifunov, M Shadaydeh, J Runge, V Eyring, M Reichstein, J Denzler Climate Informatics Workshop, 2019 | 1 | 2019 |
| Deep Graphical Models for Causality Analysis of Multivariate Time Series: Anomaly Detection, Attribution, and Environmental Science Applications VT Trifunov Cuvillier Verlag, 2024 | | 2024 |
| Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding. VT Trifunov, M Shadaydeh, J Denzler CoRR, 2022 | | 2022 |
| Domain Knowledge Integration for Causality Analysis of Carbon-Cycle Variables VT Trifunov, M Shadaydeh, J Denzler, J Runge, V Eyring, M Reichstein AGU Fall Meeting Abstracts 2018, IN31C-0821, 2018 | | 2018 |
