Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes. - Kurt Butler; Guanchao Feng; Charles B. Mikell; Sima Mofakham; Petar M. Djuric (EUSIPCO, 2022)

A Differential Measure of the Strength of Causation. - Kurt Butler; Guanchao Feng; Petar M. Djuric (IEEE Signal Process. Lett., 2022)

Detecting Confounders in Multivariate Time Series using Strength of Causation. - Yuhao Liu 002; Chen Cui; Daniel Waxman 002; Kurt Butler; Petar M. Djuric (EUSIPCO, 2023)

An Approach to Learning the Hierarchical Organization of the Frontal Lobe. - Kurt Butler; Duncan Cleveland; Charles B. Mikell; Sima Mofakham; Yuri B. Saalmann; Petar M. Djuric (EUSIPCO, 2023)

On Causal Discovery With Convergent Cross Mapping. - Kurt Butler; Guanchao Feng; Petar M. Djuric (IEEE Trans. Signal Process., 2023)

On Counterfactual Interventions in Vector Autoregressive Models. - Kurt Butler; Marija Iloska; Petar M. Djuric (EUSIPCO, 2024)

Gaussian Process-Based Inference Toward Revealing Brain Functional Connectivity. - Chen Cui; Sima Mofakham; Jessica M. Phillips; Kurt Butler; Charles B. Mikell; Yuri B. Saalmann; Petar M. Djuric (EUSIPCO, 2024)

Sequential Detection of Anomalies in Noisy Outputs of an Unknown Function Using Gaussian and Yule-Simon Processes. - Liu Yang; Kurt Butler; Petar M. Djuric (ICASSP, 2024)

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems. - Kurt Butler; Daniel Waxman 002; Petar M. Djuric (NeurIPS, 2024)

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery. - Daniel Waxman 002; Kurt Butler; Petar M. Djuric (CoRR, 2024)

Explainable Learning with Gaussian Processes. - Kurt Butler; Guanchao Feng; Petar M. Djuric (CoRR, 2024)

Measuring Strength of Joint Causal Effects. - Kurt Butler; Guanchao Feng; Petar M. Djuric (IEEE Trans. Signal Process., 2024)

Trustworthy Prediction with Gaussian Process Knowledge Scores. - Kurt Butler; Guanchao Feng; Tong Chen; Petar M. Djuric (CoRR, 2025)

A Shift in Perspective on Causality in Domain Generalization. - Damian Machlanski; Stephanie Riley; Edward Moroshko; Kurt Butler; Panagiotis Dimitrakopoulos; Thomas Melistas; Akchunya Chanchal; Steven McDonagh 001; Ricardo Silva; Sotirios A. Tsaftaris (CoRR, 2025)