{"id":779,"date":"2026-04-28T20:23:13","date_gmt":"2026-04-28T20:23:13","guid":{"rendered":"https:\/\/sites.nd.edu\/aim3d\/?page_id=779"},"modified":"2026-10-12T19:41:30","modified_gmt":"2026-10-12T19:41:30","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/aim3d\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n
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Zaytsev, D., Kuskova, V., & Coppedge, M. (2026). Stability-Constrained Regime-Aware Forecasting for Heterogeneous Panel Time Series<\/strong>. NeurIPS 2026<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Kuskova, V., Zaytsev, D., Coppedge, M. (2026). Function-Valued Causal Influence in Nonlinear Time Series<\/strong>. Proceedings of the 43rd International Conference on Machine Learning<\/em>, in Proceedings of Machine Learning Research 306: 61873\u201361898<\/em><\/a> and arXiv preprint arXiv:2605.26408<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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

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Kuskova, V., Zaytsev, D., & Coppedge, M. (2026). Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models<\/strong>. The International FLAIRS Conference Proceedings<\/em>, 39<\/em>(1)<\/a> and arXiv preprint arXiv: 2604.18751<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Zaytsev, D., Kuskova, V., & Coppedge, M. (2026). Trajectory-Aware Reliability Modeling of Democratic Systems<\/strong>. The 31st ISSAT International Conference on Reliability & Quality in Design Proceedings and arXiv preprint arXiv:2604.20127<\/a><\/em>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Coppedge, M., Zaytsev, D., & Kuskova, V. (2026). Forecast-Necessary Causal Discovery for Nonlinear Political Panel Data: Feedback, Functional Form, and the Dynamics of Democratization<\/strong>. arXiv preprint arXiv:2609.34115<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Kuskova, V., Zaytsev, D., & Coppedge, M. (2026). When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic<\/strong>. arXiv preprint arXiv:2606.08390<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Kuskova, V., Zaytsev, D., & Coppedge, M. (2026). Trajectory-Aware Node Contributions and the Limits of Static Controllability<\/strong>. arXiv preprint arXiv:2606.03067<\/em><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Zaytsev, D., Kuskova, V., & Coppedge, M. (2026). Stability-Constrained Regime-Aware Forecasting for Heterogeneous Panel Time Series. NeurIPS 2026. Kuskova, V., Zaytsev, D., Coppedge, M. (2026). Function-Valued Causal Influence in Nonlinear Time Series. Proceedings of the 43rd International Conference on Machine Learning, in Proceedings of Machine Learning Research 306: 61873\u201361898 and arXiv preprint arXiv:2605.26408. Zaytsev, D., […]<\/p>\n","protected":false},"author":5174,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-779","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/pages\/779","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/users\/5174"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/comments?post=779"}],"version-history":[{"count":44,"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/pages\/779\/revisions"}],"predecessor-version":[{"id":1234,"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/pages\/779\/revisions\/1234"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/aim3d\/wp-json\/wp\/v2\/media?parent=779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}