Kurt Butler

23 papers A* 1Misc 1Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Causal Framework for Mitigating Data Shifts in Healthcare.
CoRR
Kurt Butler, Stephanie Riley, Damian Machlanski, Edward Moroshko, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Konstantinos Vilouras, Zhihua Liu, Steven McDonagh, Hana Chockler, Ben Glocker, Niccoló Tempini, Matthew Sperrin, Sotirios A. Tsaftaris, Ricardo Silva
2026 J jnl
Artificial Intelligence Foundations: Building essential machine learning skills and understanding [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective].
IEEE Signal Process. Mag.
Kurt Butler, Mónica F. Bugallo, Petar M. Djuric
2026 J jnl
Rethinking Chronological Causal Discovery with Signal Processing.
CoRR
Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris
2025 J jnl
A Shift in Perspective on Causality in Domain Generalization.
CoRR
Damian Machlanski, Stephanie Riley, Edward Moroshko, Kurt Butler, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Steven McDonagh, Ricardo Silva, Sotirios A. Tsaftaris
2025 J jnl
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing.
CoRR
Kurt Butler, Guanchao Feng, Petar M. Djuric
2025 — conf
Online Causal Inference under Interventions: A Modular Bayesian Framework.
IEEECONF
Kurt Butler, Guanchao Feng, Petar M. Djuric
2025 — conf
Rethinking Chronological Causal Discovery with Signal Processing.
IEEECONF
Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris
2025 — conf
Trustworthy Prediction with Gaussian Process Knowledge Scores.
EUSIPCO
Kurt Butler, Guanchao Feng, Tong Chen, Petar M. Djuric
2025 J jnl
Trustworthy Prediction with Gaussian Process Knowledge Scores.
CoRR
Kurt Butler, Guanchao Feng, Tong Chen, Petar M. Djuric
2024 J jnl
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery.
CoRR
Daniel Waxman, Kurt Butler, Petar M. Djuric
2024 J jnl
Explainable Learning with Gaussian Processes.
CoRR
Kurt Butler, Guanchao Feng, Petar M. Djuric
2024 — conf
Gaussian Process-Based Inference Toward Revealing Brain Functional Connectivity.
EUSIPCO
Chen Cui, Sima Mofakham, Jessica M. Phillips, Kurt Butler, Charles B. Mikell, Yuri B. Saalmann, Petar M. Djuric
2024 J jnl
Measuring Strength of Joint Causal Effects.
IEEE Trans. Signal Process.
Kurt Butler, Guanchao Feng, Petar M. Djuric
2024 — conf
On Counterfactual Interventions in Vector Autoregressive Models.
EUSIPCO
Kurt Butler, Marija Iloska, Petar M. Djuric
2024 J jnl
On Counterfactual Interventions in Vector Autoregressive Models.
CoRR
Kurt Butler, Marija Iloska, Petar M. Djuric
2024 Misc conf
Sequential Detection of Anomalies in Noisy Outputs of an Unknown Function Using Gaussian and Yule-Simon Processes.
ICASSP
Liu Yang, Kurt Butler, Petar M. Djuric
2024 A* conf
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems.
NeurIPS
Kurt Butler, Daniel Waxman, Petar M. Djuric
2024 J jnl
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems.
CoRR
Kurt Butler, Daniel Waxman, Petar M. Djuric
2023 — conf
An Approach to Learning the Hierarchical Organization of the Frontal Lobe.
EUSIPCO
Kurt Butler, Duncan Cleveland, Charles B. Mikell, Sima Mofakham, Yuri B. Saalmann, Petar M. Djuric
2023 — conf
Detecting Confounders in Multivariate Time Series using Strength of Causation.
EUSIPCO
Yuhao Liu, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric
2023 J jnl
On Causal Discovery With Convergent Cross Mapping.
IEEE Trans. Signal Process.
Kurt Butler, Guanchao Feng, Petar M. Djuric
2022 J jnl
A Differential Measure of the Strength of Causation.
IEEE Signal Process. Lett.
Kurt Butler, Guanchao Feng, Petar M. Djuric
2022 — conf
Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes.
EUSIPCO
Kurt Butler, Guanchao Feng, Charles B. Mikell, Sima Mofakham, Petar M. Djuric