Damian Machlanski

According to our database, Damian Machlanski authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies.

Junyu Yan, Damian Machlanski, Kurt Butler, Panagiotis Dimitrakopoulos, Ewen M. Harrison, Bruce Guthrie, Sotirios A. Tsaftaris

CoRR, May, 2026

A Causal Framework for Mitigating Data Shifts in Healthcare.

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

CoRR, March, 2026

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, Ricardo Silva, Sotirios A. Tsaftaris

CoRR, August, 2025

Causal Ordering for Structure Learning from Time Series.

Pedro P. Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris

Trans. Mach. Learn. Res., 2025

Rethinking Chronological Causal Discovery with Signal Processing.

Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos, Sotirios A. Tsaftaris

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Undersmoothing Causal Estimators With Generative Trees.

Damian Machlanski, Spyridon Samothrakis, Paul Clarke

IEEE Access, 2024

Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice.

Damian Machlanski, Spyridon Samothrakis, Paul Clarke

Proceedings of the Causal Learning and Reasoning, 2024

Games of Knightian Uncertainty as AGI testbeds.

Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski

Proceedings of the IEEE Conference on Games, 2024

2023

Treatment Effect Estimation Benchmarks.

Damian Machlanski

Dataset, August, 2023

Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation.

Damian Machlanski, Spyridon Samothrakis, Paul Clarke

CoRR, 2023