activity
20142026
most citedPrediction of motor insurance claims occurrence as an imbalanced machine learning problem

6 citations · 8 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

An equality condition for the Dobrushin bound on attention rollout and how often it holds in trained transformers

Przemysław Rola

The Dobrushin coefficient of each attention-rollout factor satisfies , and multiplying these inequalities over layers bounds the coefficient of t…

cs.LG2026

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

Przemysław Rola

We introduce EntroPath, a manifold learning method that recovers geodesic geometry from data graphs through ensembles of diffusion paths. Many existing graph-based embeddings rely…

q-fin.TR2025

Boltzmann Price: Toward Understanding the Fair Price in High-Frequency Markets

Przemysław Rola

In this paper, we introduce a parametrized family of prices derived from the Maximum Entropy Principle. The price is obtained from the distribution that minimizes bias, given the b…

cs.LG2023

Contrastive Hierarchical Clustering

Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba +2

Deep clustering has been dominated by flat models, which split a dataset into a predefined number of groups. Although recent methods achieve an extremely high similarity with the g…

q-fin.ST2022★ 6 cited

Prediction of motor insurance claims occurrence as an imbalanced machine learning problem

Sebastian Baran, Przemysław Rola

The insurance industry, with its large datasets, is a natural place to use big data solutions. However it must be stressed, that significant number of applications for machine lear…

stat.ML2018

ICA based on Split Generalized Gaussian

P. Spurek, P. Rola, J. Tabor +1

Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent. Most popular…