Publications

Zaytsev, D., Kuskova, V., & Coppedge, M. (2026). From Causal Discovery to Dynamic Causal Inference in Neural Time Series. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026). arXiv preprint arXiv:2603.20980.

Kuskova, V., Zaytsev, D., & Coppedge, M. (2026). Function-Valued Causal Influence in Nonlinear Time Series. In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026). arXiv preprint arXiv:2605.26408.

Zaytsev, D., Kuskova, V., & Coppedge, M. (2026). Trajectory-Aware Reliability Modeling of Democratic Systems. The 31st ISSAT International Conference on Reliability & Quality in Design Proceedings and arXiv preprint arXiv:2604.20127.

Kuskova, V., Zaytsev, D., & Coppedge, M. (2026). Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series ModelsThe International FLAIRS Conference Proceedings39(1) and arXiv preprint arXiv: 2604.18751.