Kurt Butler

Orcid: 0000-0002-1520-4909

According to our database1, Kurt Butler authored at least 19 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Causal Framework for Mitigating Data Shifts in Healthcare.
CoRR, March, 2026

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., January, 2026

2025
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing.
CoRR, October, 2025

A Shift in Perspective on Causality in Domain Generalization.
CoRR, August, 2025

Trustworthy Prediction with Gaussian Process Knowledge Scores.
Proceedings of the 33rd European Signal Processing Conference, 2025

Rethinking Chronological Causal Discovery with Signal Processing.
Proceedings of the 59th Asilomar Conference on Signals, 2025

Online Causal Inference under Interventions: A Modular Bayesian Framework.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2024
Measuring Strength of Joint Causal Effects.
IEEE Trans. Signal Process., 2024

Explainable Learning with Gaussian Processes.
CoRR, 2024

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery.
CoRR, 2024

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sequential Detection of Anomalies in Noisy Outputs of an Unknown Function Using Gaussian and Yule-Simon Processes.
Proceedings of the IEEE International Conference on Acoustics, 2024

Gaussian Process-Based Inference Toward Revealing Brain Functional Connectivity.
Proceedings of the 32nd European Signal Processing Conference, 2024

On Counterfactual Interventions in Vector Autoregressive Models.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
On Causal Discovery With Convergent Cross Mapping.
IEEE Trans. Signal Process., 2023

An Approach to Learning the Hierarchical Organization of the Frontal Lobe.
Proceedings of the 31st European Signal Processing Conference, 2023

Detecting Confounders in Multivariate Time Series using Strength of Causation.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
A Differential Measure of the Strength of Causation.
IEEE Signal Process. Lett., 2022

Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes.
Proceedings of the 30th European Signal Processing Conference, 2022


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