Compression ensembles quantify aesthetic complexity and the evolution of visual art

A Karjus, MC Solà, T Ohm, SE Ahnert, M Schich - EPJ Data Science, 2023 - epjds.epj.org
To the human eye, different images appear more or less complex, but capturing this intuition
in a single aesthetic measure is considered hard. Here, we propose a computationally …

Quantifying the global film festival circuit: Networks, diversity, and public value creation

V Zemaityte, A Karjus, U Rohn, M Schich, I Ibrus - Plos one, 2024 - journals.plos.org
Film festivals are a key component in the global film industry in terms of trendsetting,
publicity, trade, and collaboration. We present an unprecedented analysis of the …

[PDF][PDF] A Multi-View approach based on Graphs and Chemical Language Foundation Model for Molecular Properties Prediction

E Soares, A Kishimoto, V Shirasuna… - AAAI Conference on …, 2024 - ai-2-ase.github.io
Abstract Pre-trained Language Models have emerged as promising tools for predicting
molecular properties, yet their development is in its early stages, necessitating further …