Dubova, M., Galesic, M., & Goldstone, R. (in press). Cognitive Science of Augmented Intelligence.
Dubova, M. (2022). Generalizing with overly complex representations. NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems.
Dubova, M., & Goldstone, R. L. (2022). Categorical perception meets El Greco: Categories unequally influence color perception of simultaneously present objects. Cognition, 223, 105025.
Dubova, M. (2021). Building Human-like Communicative Intelligence: A Grounded Perspective. Cognitive Systems Research, 72C, pp. 63-79.
Dubova, M. (2021). Growing Opportunities to Grow: Toward Open-Ended Multi-Agent Communication Learning. In ALIFE 2021: The 2021 Conference on Artificial Life. MIT Press.
Dubova, M., & Goldstone, R. (2021). Categories affect color perception of only some simultaneously present objects. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).
Dubova, M., & Goldstone, R. L. (2021). The Influences of Category Learning on Perceptual Reconstructions. Cognitive Science, 45(5), e12981.
Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O. R., van Aert, R. C., Van Assen, M. A., ... & Schulte-Mecklenbeck, M. (2021). Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis. Organizational Behavior and Human Decision Processes.
Dubova, M., Moskvichev, A., & Goldstone, R. (2020). Reinforcement Communication Learning in Different Social Network Structures. ICML 2020 1st Language and Reinforcement Learning Workshop.
Dubova, M., & Moskvichev, A. (2020). Effects of supervision, population size, and self-play on multi-agent reinforcement learning to communicate. Artificial Life Conference Proceedings (pp. 678-686).
Dubova, M. & Moskvichev, A. (2019). Adaptation Aftereffects as a Result of Bayesian Categorization. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society (pp. 1669-1675).
Belyy, A., Dubova, M. & Nekrasov, D. (2018). Improved Evaluation Framework for Complex Plagiarism Detection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (Vol. 2, pp. 157-162).
Belyy, A. & Dubova, M. (2018). Framework for Russian Plagiarism Detection Using Sentence Embedding Similarity and Negative Sampling. Computational Linguistics and Intellectual Technologies: papers from the Annual international conference “Dialogue” (pp. 96-109).
Moskvichev, A., Dubova, M., Menshov, S. & Filchenkov, A. (2017). Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits. In Conference on Artificial Intelligence and Natural Language (pp. 16-26). Springer, Cham.