Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara, “Global models for time series forecasting: A Simulation study”, Pattern Recognition, 124 (2022), 108441
Rafael Grompone von Gioi, Ignacio Ramírez Paulino, Gregory Randall, “The Whole and the Parts: The Minimum Description Length Principle and the A-Contrario Framework”, SIAM J. Imaging Sci., 15:3 (2022), 1282
Leonid A. Levin, “Gacs – Kucera theorem”, Theoretical Computer Science, 929 (2022), 172
Laurent Bienvenu, Glenn Shafer, Alexander Shen, Trends in the History of Science, The Splendors and Miseries of Martingales, 2022, 405
Laurent Bienvenu, Glenn Shafer, Alexander Shen, Trends in the History of Science, The Splendors and Miseries of Martingales, 2022, 225
Yu Liu, Zengru Di, Philip Gerlee, “Ladderpath Approach: How Tinkering and Reuse Increase Complexity and Information”, Entropy, 24:8 (2022), 1082
Neil Lutz, “Fractal Intersections and Products via Algorithmic Dimension”, ACM Trans. Comput. Theory, 13:3 (2021), 1
Samuel Epstein, “All Sampling Methods Produce Outliers”, IEEE Trans. Inform. Theory, 67:11 (2021), 7568
Shuichi Hirahara, Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021, 292
Yanyi Liu, Rafael Pass, Lecture Notes in Computer Science, 12825, Advances in Cryptology – CRYPTO 2021, 2021, 11
Klaas Landsman, The Frontiers Collection, Undecidability, Uncomputability, and Unpredictability, 2021, 17
Aliyu Sani Sambo, R. Muhammad Atif Azad, Yevgeniya Kovalchuk, Vivek Padmanaabhan Indramohan, Hanifa Shah, “Evolving simple and accurate symbolic regression models via asynchronous parallel computing”, Applied Soft Computing, 104 (2021), 107198
A.I. Vlasov, L.V. Zhuravleva, V.V. Kazakov, “Methods for Formalizing Cognitive Graphics and Visual Models using XML Schemas”, HoBMSTU.SIE, 2021, no. 1 (134), 51
Information Theory Meets Power Laws, 2020, 351
Daniil Ryabko, SpringerBriefs in Computer Science, Universal Time-Series Forecasting with Mixture Predictors, 2020, 1
Eiji Konishi, “Holographic interpretation of Shannon entropy of coherence of quantum pure states”, EPL, 129:1 (2020), 11006
Markus P. Müller, “Law without law: from observer states to physics via algorithmic information theory”, Quantum, 4 (2020), 301
Daniil Ryabko, SpringerBriefs in Computer Science, Universal Time-Series Forecasting with Mixture Predictors, 2020, 17
Morgane Austern, Arian Maleki, “On the Gaussianity of Kolmogorov Complexity of Mixing Sequences”, IEEE Trans. Inform. Theory, 66:2 (2020), 1232
Paul M.B. Vitányi, “How Incomputable Is Kolmogorov Complexity?”, Entropy, 22:4 (2020), 408

⋯