Mateusz Gajewski

According to our database1, Mateusz Gajewski authored at least 5 papers between 2025 and 2026.

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Bibliography

2026
Data Augmentation via Causal-Residual Bootstrapping.
CoRR, March, 2026

2025
Amortized Causal Discovery with Prior-Fitted Networks.
CoRR, December, 2025

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution.
CoRR, June, 2025

Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Accurate Estimation of Feature Importance Faithfulness for Tree Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025


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