Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation

no code implementations • 20 Dec 2023 • Stanisław Giziński, Paulina Kaczyńska, Hubert Ruczyński, Emilia Wiśnios, Bartosz Pieliński, Przemysław Biecek, Julian Sienkiewicz

This suggests that the notion of Big Tech domination over AI research is oversimplified in the discourse.

HADES: Homologous Automated Document Exploration and Summarization

1 code implementation • 25 Feb 2023 • Piotr Wilczyński, Artur Żółkowski, Mateusz Krzyziński, Emilia Wiśnios, Bartosz Pieliński, Stanisław Giziński, Julian Sienkiewicz, Przemysław Biecek

This paper introduces HADES, a novel tool for automatic comparative documents with similar structures.

Climate Policy Tracker: Pipeline for automated analysis of public climate policies

no code implementations • 10 Nov 2022 • Artur Żółkowski, Mateusz Krzyziński, Piotr Wilczyński, Stanisław Giziński, Emilia Wiśnios, Bartosz Pieliński, Julian Sienkiewicz, Przemysław Biecek

The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing.

MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence

no code implementations • 29 Jul 2021 • Stanisław Gizinski, Michał Kuzba, Bartosz Pielinski, Julian Sienkiewicz, Stanisław Łaniewski, Przemysław Biecek

The growing number of AI applications, also for high-stake decisions, increases the interest in Explainable and Interpretable Machine Learning (XI-ML).

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Discovering hidden layers in quantum graphs

no code implementations • 2 Dec 2020 • Łukasz G. Gajewski, Julian Sienkiewicz, Janusz A. Hołyst

Finding hidden layers in complex networks is an important and a non-trivial problem in modern science.

Disordered Systems and Neural Networks Computational Physics Quantum Physics