HAPmamba: Linear-Time Sequence Modeling for Terrain Classification by Legged Robots. - Michal Wilinski; Mikolaj Lysakowski; Krzysztof Walas (CLAWAR (1), 2024)

Global Roots and Poles Finding Algorithm on Quantum Computer. - Jakub Buczkowski; Tomasz Kozminski; Filip Szczepanski; Michal Wilinski; Tomasz P. Stefanski (IEEE Access, 2024)

Implicit Reasoning in Deep Time Series Forecasting. - Willa Potosnak; Cristian Challu; Mononito Goswami; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2024)

Unveiling and Manipulating Concepts in Time Series Foundation Models. - Michal Wilinski; Mononito Goswami; Nina Zukowska; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

Towards Long-Context Time Series Foundation Models. - Nina Zukowska; Mononito Goswami; Michal Wilinski; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

Investigating Compositional Reasoning in Time Series Foundation Models. - Willa Potosnak; Cristian Challu; Mononito Goswami; Kin G. Olivares; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2025)

Towards Fairness for the Right Reasons: Using Saliency Maps to Evaluate Bias Removal in Neural Networks. - Lukasz Sztukiewicz; Ignacy Stepka; Michal Wilinski; Jerzy Stefanowski (CoRR, 2025)

DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision. - Ignacy Stepka; Lukasz Sztukiewicz; Michal Wilinski; Jerzy Stefanowski (CoRR, 2025)

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents. - Yifu Cai; Xinyu Li; Mononito Goswami; Michal Wilinski; Gus Welter; Artur Dubrawski (CoRR, 2025)