1 citations · 1 across the 3 of their papers we have counts for
5 papers
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
Mikołaj Małkiński, Jacek Mańdziuk
The abstract visual reasoning (AVR) domain presents a diverse suite of analogy-based tasks devoted to studying model generalization. Recent years have brought dynamic progress in t…
Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization
Szymon Sieradzki, Jacek Mańdziuk
In this paper, we review hyperparameter optimization methods for machine learning models, with a particular focus on the Adaptive Tree-Structured Parzen Estimator (ATPE) algorithm.…
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mańdziuk
This study investigates the potential of hybrid metaheuristic algorithms to enhance the training of Probabilistic Neural Networks (PNNs) by leveraging the complementary strengths o…
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution
Adam Żychowski, Andrew Perrault, Jacek Mańdziuk
Decision trees are widely used in machine learning due to their simplicity and interpretability, but they often lack robustness to adversarial attacks and data perturbations. The p…
Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems
Mikołaj Małkiński, Szymon Pawlonka, Jacek Mańdziuk
Abstract visual reasoning (AVR) involves discovering shared concepts across images through analogy, akin to solving IQ test problems. Bongard Problems (BPs) remain a key challenge…