Li, M., Vitanyi, P.M.B. (1995) Computational Machine Learning in Theory and Praxis.

In Computer Science Today (pp 518-535) (Lecture Notes in Computer Science). Springer Verlag.

Li, M., Vitanyi, P.M.B. (1995) Correction to: Kolmogorov complexity arguments in Combinatorics.

Journal of Combinatorial Theory. Series A, Vol. 69 (pp 183)

Erratum / Corrigendum | UvA-DARE

Li, M., Vitanyi, P.M.B. (1995) A new approach to formal language theory by Kolmogorov complexity.

SIAM Journal on Computing, Vol. 24 (pp 398-410)

Article | https://doi.org/10.1137/S009753979324485X | UvA-DARE

Li, M., Vitanyi, P.M.B. (1996) Space-Energy Trade-off in Reversible Simulations.

In 4th Workshop on Physics and Computation

Li, M., Vitanyi, P.M.B. (1996) Reversibility and adiabatic computation: trading time and space for energy.

In Proc. Royal Society of London (pp 769-789) (A). Royal Society of London.

Li, M., Vitanyi, P.M.B. (1996) Ideal MDL and Its Relation To Bayesianism.

In Proc. ISIS: Information, Statistics and Induction in Science, Melbourne, Australia (pp 282-291)

Li, M., Vitanyi, P.M.B. (1997) Reversibility and adiabatic computation: Trading time and space for energy.

Technical Report quant-ph. onbekend (FdL).

Report | UvA-DARE

Li, M., Vitanyi, P.M.B. (1997) Average-case analysis using kolmogorov complexity.

In Advances in Algorithms, Languages, and Complexity (pp 157-169). Kluwer Academic Publishers.

Li, M., Vitanyi, P.M.B. (1997) Average-case analysis via incompressibility.

In Proc. 11th Conference on Fundamentals of Computation Theory (pp 38-50) (Lecture Notes in Computer Science). Springer-Verlag.

Li, M., Vitanyi, P.M.B. (1998) Miao shu fu za xing.

Ke xue chu ban she.

Book | http://homepages.cwi.nl/~paulv/kolmcompl.html | UvA-DARE

Li, M., Vitanyi, P.M.B. (2002) Algorithmic complexity.

In Smelser, N.J. Baltes, P.B. (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp 376-382). Pergamon.

Li, M., Vitanyi, P.M.B. (2007) Applications of Algorithmic Information Theory.

Scholarpedia Journal, Vol. 2

Article | http://www.scholarpedia.org/article/Applications_of_algorithmic_information_theory | UvA-DARE

Li, Ming, Chen, X., Lie, X., Ma, B., Vitanyi, P.M.B. (2003) Clustering by compression.

In Proceedings International Symposium on Information Theory (pp 261-261)

Li, Ming, Tromp, J.A.H., Vitanyi, P.M.B. (2003) Sharpening Occam's Razor.

Information Processing Letters, Vol. 85 (pp 267-274)

Article | https://doi.org/10.1016/S0020-0190(02)00427-1 | UvA-DARE

Li, R., Kaptein, R., Hiemstra, D., Kamps, J. (2008) Exploring topic-based language models for effective web information retrieval.

In Proceedings of the 8th Dutch-Belgian Information Retrieval Workshop (DIR 2008) (pp 65-71). University of Maastricht.

Li, Shihui, Andersen, M.F., Lewis, M. (2026) The Geometry of Metaphor: Probing and Steering Metaphor Representations in Large Language Models.

Paper | https://openreview.net/forum?id=TywuA4MyrL | UvA-DARE

Li, Shihui, Tan, X., Bloem, J. (2026) Examining Large Language Models' form-meaning mappings of information structure constructions in Mandarin Chinese.

In Proceedings of the 30th Conference on Computational Natural Language Learning

Ligeti, A.S., Bokányi, E., Karsai, M., Koltai, J.A., Oroszi, B., Röst, G. (2022) A társadalmi dinamika vizsgálatának szerepe a pandémiás védekezésben. Translated title of the contribution: The role of examining social dynamics in pandemic response

Népegészségügy, Vol. 99 (pp 64-75)

Article | https://publicatio.bibl.u-szeged.hu/29025/ | UvA-DARE

Lin, S., Behnke, G., Bercher, P. (2022) Exploiting Solution Order Graphs and Path Decomposition Trees for More Efficient HTN Plan Verification via SAT Solving.

In HPLAN 2022 : Proceedings of the 5th Workshop on Hierarchical Planning: 32nd International Conference on Automated Planning and Scheduling : June 13-24, 2022, virtually from Singapore (pp 24-28). ICAPS.

Lin, S., Behnke, G., Bercher, P. (2023) Accelerating SAT-Based HTN Plan Verification by Exploiting Data Structures from HTN Planning.

In Gal, K. Nowé, A. Nalepa, G.J. Fairstein, R. Rădulescu, R. (Eds.), ECAI 2023: 26th European Conference on Artificial Intelligence, September 30-October 4, 2023, Kraków, Poland, including 12th Conference on Prestigious Applications of Intelligent Systems ( PAIS 2023) : proceedings (pp 1489-1496) (Frontiers in Artificial Intelligence and Applications, Vol. 372). IOS Press.