Paweł Liskowski

Conference Papers

• [1] Paweł Liskowski, Krzysztof Krawiec, and Nihat Engin Toklu. Neuromemetic Evolutionary Optimization. Parallel Problem Solving from Nature - PPSN XVI, 2020. (DOI)
• [2] Nihat Engin Toklu, Paweł Liskowski, and Rupesh Kumar Srivastava. ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. Parallel Problem Solving from Nature - PPSN XVI, 2020. (DOI)
• [3] Paweł Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, and Jerry Swan. Program Synthesis as Latent Continuous Optimization: Evolutionary Search in Neural Embeddings. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020. (DOI)
• [4] Paweł Liskowski, Bartosz Wieloch, and Krzysztof Krawiec. Neural Estimation of Interaction Outcomes. Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 2018. (DOI)
• [5] Paweł Liskowski, Iwo Błądek, and Krzysztof Krawiec. Neuro-guided Genetic Programming. Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 2018. (DOI)
• [6] Maciej Szkulmowski, Paweł Liskowski, Bartosz Wieloch, Krzysztof Krawiec, and Bartosz Sikorski. Convolutional Neural Networks for Artifact Free OCT Retinal Angiography. Investigative Ophthalmology & Visual Science, 2017. (DOI)
• [7] Paweł Liskowski and Wojciech Jaśkowski. Accelerating Coevolution with Adaptive Matrix Factorization. Proceedings of the 2017 Genetic and Evolutionary Computation Conference, 2017. Nominated to Best Paper Award. (DOI)
• [8] Paweł Liskowski and Krzysztof Krawiec. Discovery of Search Objectives in Continuous Domains. Proceedings of the 2017 Genetic and Evolutionary Computation Conference, 2017. (DOI)
• [9] Paweł Liskowski and Krzysztof Krawiec. Surrogate Fitness Via Factorization of Interaction Matrix. EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, 2016. Best Paper Award. (DOI)
• [10] Paweł Liskowski and Krzysztof Krawiec. Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. Proceedings of the 2016 Genetic and Evolutionary Computation Conference, 2016. (DOI)
• [11] Maciej Szkulmowski, Daniel Rumiński, Paweł Liskowski, Bartosz Wieloch, Krzysztof Krawiec, Bartosz Sikorski, and Maciej D. Wojtkowski. OCT Retinal Angiography Using Neural Networks. The Annual Meeting of the Association for Research in Vision and Ophthalmology, 2016. (DOI)
• [12] Wojciech Jaśkowski, Marcin Szubert, Paweł Liskowski, and Krzysztof Krawiec. High-dimensional Function Approximation for Knowledge-free Reinforcement Learning: A Case Study in SZ-Tetris. Proceedings of the 2015 Conference on Genetic and Evolutionary Computation, 2015. (DOI)
• [13] Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, and Krzysztof Krawiec. The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-playing Agents. Applications of Evolutionary Computation, 2015. (DOI)
• [14] Krzysztof Krawiec and Paweł Liskowski. Automatic Derivation of Search Objectives for Test-based Genetic Programming. EuroGP 2015: Proceedings of the 19th European Conference on Genetic Programming, 2015. Nominated to Best Paper Award. (DOI)
• [15] Paweł Liskowski, Krzysztof Krawiec, Thomas Helmuth, and Lee Spector. Comparison of Semantic-aware Selection Methods in Genetic Programming. Proceedings of the 2015 Genetic and Evolutionary Computation Conference, 2015. (DOI)
• [16] Wojciech Jaśkowski, Marcin Szubert, and Paweł Liskowski. Multi-criteria Comparison of Coevolution and Temporal Difference Learning on Othello. EvoApplications 2014, 2014. (DOI, PDF)
• [17] Paweł Liskowski and Krzysztof Krawiec. Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-based Problems. Parallel Problem Solving from Nature - PPSN XIII, 2014. (DOI)
• [18] Paweł Liskowski. Quantitative Analysis of the Hall of Fame Coevolutionary Archives. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)
• [19] Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, and Krzysztof Krawiec. Shaping Fitness Function for Evolutionary Learning of Game Strategies. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)
• [20] Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, and Krzysztof Krawiec. Improving Coevolution by Random Sampling. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)

Journal Papers

• [21] Paweł Liskowski, Wojciech Jaśkowski, and Krzysztof Krawiec. Learning to Play Othello with Deep Neural Networks. IEEE Transactions on Games, 2018. (DOI)
• [22] Paweł Liskowski and Krzysztof Krawiec. Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming. Foundations of Computing and Decision Sciences, 2017. (DOI)
• [23] Paweł Liskowski and Krzysztof Krawiec. Segmenting Retinal Blood Vessels with Deep Neural Networks. IEEE Transactions on Medical Imaging, 2016. (DOI)
• [24] Paweł Liskowski and Krzysztof Krawiec. Online Discovery of Search Objectives for Test-based Problems. Evolutionary Computation, 2016. (DOI)
• [25] Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, and Krzysztof Krawiec. Performance Profile: A Multi-criteria Performance Evaluation Method for Test-based Problems. International Journal of Applied Mathematics and Computer Science, 2016. (DOI, PDF)

Theses

• [26] Paweł Liskowski. Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems. Poznan University of Technology, 2018. (DOI)
• [27] Paweł Liskowski. Co-evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation. Poznan University of Technology, 2012. ()