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pro vyhledávání: '"Konstantinov A"'
Autor:
Aksenov Ivan, Konstantinov Aleksandr
Publikováno v:
E3S Web of Conferences, Vol 535, p 01001 (2024)
Air permeability is an important characteristic of windows, which significantly affects the energy consumption of a building and the quality of indoor climate in winter. Existing experimental studies confirm that the air permeability of windows can i
Externí odkaz:
https://doaj.org/article/21ffdd70cd024b14804bf4570447d858
Autor:
Guldimann, Philipp, Spiridonov, Alexander, Staab, Robin, Jovanović, Nikola, Vero, Mark, Vechev, Velko, Gueorguieva, Anna, Balunović, Mislav, Konstantinov, Nikola, Bielik, Pavol, Tsankov, Petar, Vechev, Martin
The EU's Artificial Intelligence Act (AI Act) is a significant step towards responsible AI development, but lacks clear technical interpretation, making it difficult to assess models' compliance. This work presents COMPL-AI, a comprehensive framework
Externí odkaz:
http://arxiv.org/abs/2410.07959
A method for solving concept-based learning (CBL) problem is proposed. The main idea behind the method is to divide each concept-annotated image into patches, to transform the patches into embeddings by using an autoencoder, and to cluster the embedd
Externí odkaz:
http://arxiv.org/abs/2406.19897
Nonpolar atoms or molecules with light particle mass and weak particle-particle interaction can form quantum liquids and solids (QLS) at low temperatures. Excess electrons can be naturally bound to the surface of a QLS in a vacuum and exhibit unique
Externí odkaz:
http://arxiv.org/abs/2406.15870
Autor:
Konstantinov A.V., Ponomareva I. A.
Publikováno v:
Гуманитарный вектор, Vol 14, Iss 6, Pp 15-27 (2019)
The paper presents data on a new rock art site Imandan-Makit which is located in the upper reaches of the Nercha river (Zabaykalsky Krai, Tungokochensky district). The survey of the site included description, photography, GPS and preservation assessm
Externí odkaz:
https://doaj.org/article/7991a9cf3cdb4c2989d6a9cfe4e5954c
Autor:
Tsoy, Nikita, Konstantinov, Nikola
Simplicity bias, the propensity of deep models to over-rely on simple features, has been identified as a potential reason for limited out-of-distribution generalization of neural networks (Shah et al., 2020). Despite the important implications, this
Externí odkaz:
http://arxiv.org/abs/2405.17299
The properties of a two-dimensional (2D) electron system can be drastically altered by a magnetic field applied perpendicular to the 2D plane. In particular, the frequency of its bulk collective excitations becomes gaped at the cyclotron frequency, w
Externí odkaz:
http://arxiv.org/abs/2404.07582
Cross-silo federated learning (FL) allows data owners to train accurate machine learning models by benefiting from each others private datasets. Unfortunately, the model accuracy benefits of collaboration are often undermined by privacy defenses. The
Externí odkaz:
http://arxiv.org/abs/2403.06672
Autor:
Konstantinov, Andrei V., Utkin, Lev V.
A problem of incorporating the expert rules into machine learning models for extending the concept-based learning is formulated in the paper. It is proposed how to combine logical rules and neural networks predicting the concept probabilities. The fi
Externí odkaz:
http://arxiv.org/abs/2402.14726
A new model for generating survival trajectories and data based on applying an autoencoder of a specific structure is proposed. It solves three tasks. First, it provides predictions in the form of the expected event time and the survival function for
Externí odkaz:
http://arxiv.org/abs/2402.12331