A review of emerging research directions in Abstract Visual Reasoning. - Mikolaj Malkinski; Jacek Mandziuk (Inf. Fusion, 2023)

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. - Mikolaj Malkinski; Jacek Mandziuk (AAAI, 2024)

Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess. - Jacek Czupyt; Mikolaj Malkinski; Jacek Mandziuk (CEC, 2024)

Generalization and Knowledge Transfer in Abstract Visual Reasoning Models. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2024)

A Unified View of Abstract Visual Reasoning Problems. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2024)

Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems. - Mikolaj Malkinski; Szymon Pawlonka; Jacek Mandziuk (CoRR, 2024)

ReModels: Quantile Regression Averaging models. - Grzegorz Zakrzewski; Kacper Skonieczka; Mikolaj Malkinski; Jacek Mandziuk (SoftwareX, 2024)

Multi-Label Contrastive Learning for Abstract Visual Reasoning. - Mikolaj Malkinski; Jacek Mandziuk (IEEE Trans. Neural Networks Learn. Syst., 2024)

Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2025)

Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices. - Mikolaj Malkinski; Jacek Mandziuk (ACM Comput. Surv., 2025)