Improving coevolution by random sampling. - Wojciech Jaskowski; Pawel Liskowski; Marcin Grzegorz Szubert; Krzysztof Krawiec (GECCO, 2013)

Quantitative analysis of the hall of fame coevolutionary archives. - Pawel Liskowski (GECCO (Companion), 2013)

Shaping fitness function for evolutionary learning of game strategies. - Marcin Grzegorz Szubert; Wojciech Jaskowski; Pawel Liskowski; Krzysztof Krawiec (GECCO, 2013)

Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello. - Wojciech Jaskowski; Marcin Grzegorz Szubert; Pawel Liskowski (EvoApplications, 2014)

Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based Problems. - Pawel Liskowski; Krzysztof Krawiec (PPSN, 2014)

Automatic Derivation of Search Objectives for Test-Based Genetic Programming. - Krzysztof Krawiec; Pawel Liskowski (EuroGP, 2015)

The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents. - Marcin Grzegorz Szubert; Wojciech Jaskowski; Pawel Liskowski; Krzysztof Krawiec (EvoApplications, 2015)

High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-Tetris. - Wojciech Jaskowski; Marcin Grzegorz Szubert; Pawel Liskowski; Krzysztof Krawiec (GECCO, 2015)

Comparison of Semantic-aware Selection Methods in Genetic Programming. - Pawel Liskowski; Krzysztof Krawiec; Thomas Helmuth; Lee Spector (GECCO (Companion), 2015)

Surrogate Fitness via Factorization of Interaction Matrix. - Pawel Liskowski; Krzysztof Krawiec (EuroGP, 2016)

Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. - Pawel Liskowski; Krzysztof Krawiec (GECCO, 2016)

The performance profile: A multi-criteria performance evaluation method for test-based problems. - Wojciech Jaskowski; Pawel Liskowski; Marcin Grzegorz Szubert; Krzysztof Krawiec (Int. J. Appl. Math. Comput. Sci., 2016)

Segmenting Retinal Blood Vessels With Deep Neural Networks. - Pawel Liskowski; Krzysztof Krawiec (IEEE Trans. Medical Imaging, 2016)

Accelerating coevolution with adaptive matrix factorization. - Pawel Liskowski; Wojciech Jaskowski (GECCO, 2017)

Discovery of search objectives in continuous domains. - Pawel Liskowski; Krzysztof Krawiec (GECCO, 2017)

Online Discovery of Search Objectives for Test-Based Problems. - Pawel Liskowski; Krzysztof Krawiec (Evol. Comput., 2017)

Neuro-guided genetic programming: prioritizing evolutionary search with neural networks. - Pawel Liskowski; Iwo Bladek; Krzysztof Krawiec (GECCO, 2018)

Neural estimation of interaction outcomes. - Pawel Liskowski; Bartosz Wieloch; Krzysztof Krawiec (GECCO, 2018)

Learning to Play Othello With Deep Neural Networks. - Pawel Liskowski; Wojciech Jaskowski; Krzysztof Krawiec (IEEE Trans. Games, 2018)

Program synthesis as latent continuous optimization: evolutionary search in neural embeddings. - Pawel Liskowski; Krzysztof Krawiec; Nihat Engin Toklu; Jerry Swan (GECCO, 2020)

Neuromemetic Evolutionary Optimization. - Pawel Liskowski; Krzysztof Krawiec; Nihat Engin Toklu (PPSN (1), 2020)

ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. - Nihat Engin Toklu; Pawel Liskowski; Rupesh Kumar Srivastava (PPSN (2), 2020)

EvoTorch: Scalable Evolutionary Computation in Python. - Nihat Engin Toklu; Timothy Atkinson 001; Vojtech Micka; Pawel Liskowski; Rupesh Kumar Srivastava (CoRR, 2023)

Arctic-TILT. Business Document Understanding at Sub-Billion Scale. - Lukasz Borchmann; Michal Pietruszka; Wojciech Jaskowski; Dawid Jurkiewicz; Piotr Halama; Pawel Józiak; Lukasz Garncarek; Pawel Liskowski; Karolina Szyndler; Andrzej Gretkowski; Julita Oltusek; Gabriela Nowakowska; et al. (CoRR, 2024)