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August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.

 

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I Feel You: What makes algorithmic experience personal?

P. 1–6.
Yamshchikov I. P., Tikhonov A.

Since artificial neural networks are excelling in stylization of visual, textual and acoustic objects, we discuss the potential of such technologies in context of human-to-machine interactions in general and in an artistic context specifically. We discuss a paradigm of an uncanny-valley that was originally proposed for human-robot interaction and look at it at a new angle working with algorithms rather than with robots. We propose an exploration framework for human-algorithm interaction and illustrate basic principles of such interactions with two case studies on the verge of art and computer science. Finally, we discuss how exploration paradigm outlines the vector of further humanalgorithm collaborations.

Language: English
DOI
Keywords: computational creativity

In book

EVA Copenhagen 2018 - Politics of the Machines - Art and After
Copenhagen: BCS, The Chartered Institute for IT, 2018.
Similar publications
Artificial Neural Networks Jamming on the Beat
Tikhonov A., Yamshchikov I. P., , in: Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2021).: [б.и.], 2021. P. 37–44.
Added: October 28, 2021
Communication trends in the post-literacy era: polylingualism, multimodality and multiculturalism as prerequisites for new creativity
Ekaterinburg: Ural University Press, 2020.
The monograph presents the research results of the discussion held at the Fifth International Research Conference “Communication trends in the post-literacy era: polylingualism, multimodality and multiculturalism as prerequisites for new creativity” (Ekaterinburg, UrFU, November 26–28, 2020). The book is a result of joint efforts by the research group “Multilingualism and Interculturalism in the Post-Literacy Era”. ...
Added: April 11, 2021
EVA Copenhagen 2018 - Politics of the Machines - Art and After
Copenhagen: BCS, The Chartered Institute for IT, 2018.
EVA Copenhagen is a conference focusing on digital arts and culture, which is part of the international ‘Electronic Visualisation & the Arts’ (EVA) network. The conference will bring together artists and academics working in a broad range of fields related to digital arts. Organised in partnership between Aalborg University (Aalborg, Copenhagen) and Dias: Digital Interactive ...
Added: April 7, 2021
Learning Literary Style End-to-end with Artificial Neural Networks
Ivan P. Yamshchikov, Tikhonov A., Advances in Science, Technology and Engineering Systems 2019 Vol. 4 No. 6 P. 115–125
This paper addresses the generation of stylized texts in a multilingual setup. A long short-term memory (LSTM) language model with extended phonetic and semantic embeddings is shown to capture poetic style when trained end-to-end without any expert knowledge. Phonetics seems to have a comparable contribution to the overall model performance as the information on the ...
Added: January 7, 2021
Guess who? Multilingual Approach For The Automated Generation Of Author-Stylized Poetry
Tikhonov A., Ivan P. Yamshchikov, , in: 2018 IEEE Spoken Language Technology Workshop (SLT).: Institute of Electrical and Electronics Engineers Inc., 2018. P. 787–794.
This paper addresses the problem of stylized text generation in a multilingual setup. A version of a language model based on a long short-term memory (LSTM) artificial neural network with extended phonetic and semantic embeddings is used for stylized poetry generation. The quality of the resulting poems generated by the network is estimated through bilingual ...
Added: January 7, 2021
Paranoid transformer: Reading narrative of madness as computational approach to creativity
Agafonova Y., Tikhonov A., Ivan P. Yamshchikov, Future Internet 2020 Vol. 12 No. 11 Article 182
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer—a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, provide ...
Added: January 7, 2021
Music generation with variational recurrent autoencoder supported by history
Ivan P. Yamshchikov, Tikhonov A., SN Applied Sciences 2020 Vol. 2 No. 12 P. 1–7
A new artificial neural network architecture that helps generating longer melodic patterns is introduced alongside with methods for post-generation filtering. The proposed approach, called variational autoencoder supported by history, is based on a recurrent highway gated network combined with a variational autoencoder. The combination of this architecture with filtering heuristics allows the generation of pseudo-live, ...
Added: January 7, 2021
Computational Pedagogy: Thinking, Participation, Reflection
Patarakin Y., Burov V., Yarmakhov B., , in: Digital Turn in Schools—Research, Policy, Practice: Proceedings of ICEM 2018 Conference.: Singapore: Springer, 2019. P. 123–137.
The article introducing the notion of computational pedagogy and pedagogical design underpinning its development as sociotechnical engineering of activity means and scenarios, aimed at building students' skills of computational thinking, computational participation and computational reflection.  The interrelated development of computational thinking, computational participation and computational reflection is demonstrated in the case study of network collaboration ...
Added: November 17, 2020
Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity
Agafonova Y., Tikhonov A., Yamshchikov I., , in: Proceedings of the Eleventh International Conference on Computational Creativity.: Coimbra: Association for Computational Creativity, 2020. Ch. 3.5 P. 146–152.
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer — a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona without any additional human post-filtering. We describe technical details of the generative system, ...
Added: September 29, 2020
Proceedings of the Eleventh International Conference on Computational Creativity
Coimbra: Association for Computational Creativity, 2020.
Added: September 29, 2020
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