Zobrazeno 1 - 10
of 10 831
pro vyhledávání: '"Georgii, A"'
Nearest-neighbor search in large vector databases is crucial for various machine learning applications. This paper introduces a novel method using tensor-train (TT) low-rank tensor decomposition to efficiently represent point clouds and enable fast a
Externí odkaz:
http://arxiv.org/abs/2410.04462
Concept-based XAI (C-XAI) approaches to explaining neural vision models are a promising field of research, since explanations that refer to concepts (i.e., semantically meaningful parts in an image) are intuitive to understand and go beyond saliency-
Externí odkaz:
http://arxiv.org/abs/2409.13456
We initiate the study of tree structures in the context of scenario-based robust optimization. Specifically, we study Binary Search Trees (BSTs) and Huffman coding, two fundamental techniques for efficiently managing and encoding data based on a know
Externí odkaz:
http://arxiv.org/abs/2408.11422
Autor:
Buyanov, Alexander, Gofman, Iosif, Bozhkova, Svetlana, Saprykina, Natalia, Netylko, Georgii, Panarin, Evgenii
High-strength composite hydrogels cellulose-polyacrylamide were synthesized by free-radical polymerization of acrylamide conducted inside the previously formed physical network of regenerated plant cellulose. Partial hydrolysis of the amide groups of
Externí odkaz:
http://arxiv.org/abs/2408.01828
Autor:
Gushchin, Alexander, Abud, Khaled, Bychkov, Georgii, Shumitskaya, Ekaterina, Chistyakova, Anna, Lavrushkin, Sergey, Rasheed, Bader, Malyshev, Kirill, Vatolin, Dmitriy, Antsiferova, Anastasia
In the field of Image Quality Assessment (IQA), the adversarial robustness of the metrics poses a critical concern. This paper presents a comprehensive benchmarking study of various defense mechanisms in response to the rise in adversarial attacks on
Externí odkaz:
http://arxiv.org/abs/2408.01541
Autor:
Bochkin, Georgii A., Doronin, Sergei I., Fel'dman, Edward B., Kuznetsova, Elena I., Lazarev, Ilia D., Pechen, Alexander, Zenchuk, Alexander I.
Publikováno v:
Lobachevskii Journal of Mathematics, 2024, Vol. 45, No. 3, pp. 972-991
We consider the remote state restoring and perfect transfer of the zero-order coherence matrix (PTZ) in a spin system governed by the XXZ-Hamiltonian conserving the excitation number. The restoring tool is represented by several nonzero Larmor freque
Externí odkaz:
http://arxiv.org/abs/2407.16460
Autor:
Novikov, Georgii, Oseledets, Ivan
The scaling of neural networks with increasing data and model sizes necessitates the development of more efficient deep learning algorithms. A significant challenge in neural network training is the memory footprint associated with activation tensors
Externí odkaz:
http://arxiv.org/abs/2407.15545
Autor:
Koniukov, Georgii
The friction force is derived using fractional calculus by considering the non-uniform flow of time in dissipative processes. The approach incorporates inhomogeneous velocity without unphysical approximations, resulting in a Lagrangian where the orde
Externí odkaz:
http://arxiv.org/abs/2407.13888
In the present work, an approach to the moment closure problem on the basis of orthogonal polynomials derived from Gram matrices is proposed. Its properties are studied in the context of the moment closure problem arising in gas kinetic theory, for w
Externí odkaz:
http://arxiv.org/abs/2407.05894
Ensuring the quality of black-box Deep Neural Networks (DNNs) has become ever more significant, especially in safety-critical domains such as automated driving. While global concept encodings generally enable a user to test a model for a specific con
Externí odkaz:
http://arxiv.org/abs/2405.17523