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Cha, Meeyoung, Park, Chanyoung, Park, Noseong, Yang, Carl, Roy, Senjuti Basu, Li, Jessie, Kamps, J., Shin, Kijung, Hooi, Bryan, He, Lifang, Li, Yong, McAuley, Julian, Song, Yang, Kim, Sungchul, Li, Jundong, Li, Cheng-Te (2025) CIKM'25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management : November 10-14, 2025, Seoul, Republic of Korea.Association for Computing Machinery.Book (Editorship) | https://doi.org/10.1145/3746252 | UvA-DARE
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Chakraborti, M.K., Löwe, B., Mitra, M.N., Sarukkai, S. (2008) Logic, Navya-Nyāya & applications: Homage to Bimal Krishna Matilal.Studies in Logic. College Publications.Book (Editorship) | UvA-DARE
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Chakraborty, S., Gilyén, A., Jeffery, S. (2019) The power of block-encoded matrix powers: Improved regression techniques via faster Hamiltonian simulation.In Baier, C Chatzigiannakis, I. Flocchini, P. Leonardi, S. (Eds.), 46th International Colloquium on Automata, Languages, and Programming: ICALP 2019, July 9-12, 2019, Patras, Greece (Leibniz International Proceedings in Informatics, Vol. 132). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.Conference contribution | https://doi.org/10.4230/LIPIcs.ICALP.2019.33 | UvA-DAREChang, N., Pauw, S. (2012) The many faces of many and more: Space, time and the expression of extent.Chartier, C.B. (2013) A Proposal for Evaluating Truth Theories.Paper | UvA-DAREChater, N., Vitanyi, P.M.B., Steward, N. (2001) Universal generalization and universal inter-item confusability.Behavioral and Brain Sciences, Vol. 24 (pp 559-660)Article | UvA-DAREChater, N., Vitanyi, P.M.B. (2003) The generalized universal law of generalization.Journal of Mathematical Psychology, Vol. 47 (pp 346-369)Chater, N., Vitanyi, P.M.B. (2003) A unifying principle in cognitive science?.Trends in Cognitive Sciences, Vol. 7 (pp 19-22)Chater, N., Vitanyi, P.M.B. (2007) ‘Ideal learning’ of natural language: Positive results about learning from positive evidence.Journal of Mathematical Psychology, Vol. 51 (pp 135-163)Article | https://doi.org/10.1016/j.jmp.2006.10.002 | UvA-DAREChatterji, Satchit, Acar, E. (2025) Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning.In Lynce, Ines Murano, Nello Vallati, Mauro Villata, Serena Chesani, Federico Milano, Michela Omicini, Andrea Dastani, Mehdi (Eds.), ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings (pp 2538-2545) (Frontiers in Artificial Intelligence and Applications, Vol. 413). IOS Press.Conference contribution | https://doi.org/10.48550/arXiv.2411.04867 | UvA-DAREChávez Heras, D., Blanke, T. (2021) On machine vision and photographic imagination.AI and Society, Vol. 36 (pp 1153-1165)Article | https://doi.org/10.1007/s00146-020-01091-y | UvA-DAREChen, A., Çetinçelik, M., Roncaglia-Denissen, M.P., Sadakata, M. (2023) Native language, L2 experience, and pitch processing in music.Linguistic Approaches to Bilingualism, Vol. 13 (pp 218-237)Article | https://doi.org/10.1075/lab.20030.che | UvA-DAREChen, J., Lackner, M., Maly, J. (2022) Participatory Budgeting with Donations and Diversity Constraints.In Sycara, K. Honavar, V. Spaan, M. (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (pp 9323-9330). AAAI Press.Conference contribution | https://doi.org/10.1609/aaai.v36i9.21163 | UvA-DAREChen, Qian, Ma, Minghui (2025) The McKinsey Axiom on Weakly Transitive Frames.Studia Logica, Vol. 113 (pp 1543-1566)Article | https://doi.org/10.1007/s11225-024-10145-x | UvA-DAREChen, V., Grigorescu, E., de Wolf, R. (2013) Error-correcting data structures.SIAM Journal on Computing, Vol. 42 (pp 84-111)Article | https://doi.org/10.1137/110834949 | UvA-DAREChen, W., Endriss, U. (2017) Preservation of Semantic Properties during the Aggregation of Abstract Argumentation Frameworks.Electronic Proceedings in Theoretical Computer Science, Vol. 251 (pp 118-133)Article | https://doi.org/10.4204/EPTCS.251.9 | UvA-DAREChen, W., Endriss, U. (2018) Aggregating Alternative Extensions of Abstract Argumentation Frameworks: Preservation Results for Quota Rules.In Modgil, S. Budzynska, K. Lawrence, J. (Eds.), Computational Models of Argument: Proceedings of COMMA 2018 (pp 425-436) (Frontiers in Artificial Intelligence and Applications, Vol. 305). IOS Press.Conference contribution | https://doi.org/10.3233/978-1-61499-906-5-425 | UvA-DAREChen, W., Endriss, U. (2019) Preservation of Semantic Properties in Collective Argumentation: The Case of Aggregating Abstract Argumentation Frameworks.Artificial Intelligence, Vol. 269 (pp 27-48)Article | https://doi.org/10.1016/j.artint.2018.10.003 | UvA-DAREChen, X., Fernández, R., Pezzelle, S. (2023) The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models.In Bouamar, H. Pino, J. Bali, K. (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp 5817–5830). Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/2023.emnlp-main.356 | UvA-DAREChen, X., Lyu, C., Titov, I. (2019) Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks.In Inui, K. Jiang, J. Ng, V. Wan, X. (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp 5415–5425). The Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/D19-1544 | UvA-DARE
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