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pro vyhledávání: '"Divin A"'
Autor:
Liu, Shengchao, Yan, Divin, Du, Weitao, Liu, Weiyang, Li, Zhuoxinran, Guo, Hongyu, Borgs, Christian, Chayes, Jennifer, Anandkumar, Anima
Artificial intelligence models have shown great potential in structure-based drug design, generating ligands with high binding affinities. However, existing models have often overlooked a crucial physical constraint: atoms must maintain a minimum pai
Externí odkaz:
http://arxiv.org/abs/2409.10584
4D time-space reconstruction of dynamic events or deforming objects using X-ray computed tomography (CT) is an extremely ill-posed inverse problem. Existing approaches assume that the object remains static for the duration of several tens or hundreds
Externí odkaz:
http://arxiv.org/abs/2404.19075
Diffusion models have made significant advances recently in high-quality image synthesis and related tasks. However, diffusion models trained on real-world datasets, which often follow long-tailed distributions, yield inferior fidelity for tail class
Externí odkaz:
http://arxiv.org/abs/2402.10821
In this work, we discover a phenomenon of community bias amplification in graph representation learning, which refers to the exacerbation of performance bias between different classes by graph representation learning. We conduct an in-depth theoretic
Externí odkaz:
http://arxiv.org/abs/2312.04883
Publikováno v:
Thirty-seventh Conference on Neural Information Processing Systems. (NeurIPS 2023)
This paper introduces a new approach to address the issue of class imbalance in graph neural networks (GNNs) for learning on graph-structured data. Our approach integrates imbalanced node classification and Bias-Variance Decomposition, establishing a
Externí odkaz:
http://arxiv.org/abs/2310.18765
Privacy and bandwidth constraints have led to the use of federated learning (FL) in wireless systems, where training a machine learning (ML) model is accomplished collaboratively without sharing raw data. While using bandwidth-constrained uplink wire
Externí odkaz:
http://arxiv.org/abs/2211.03363
Autor:
Dmitry Yu. Golovin, Alexander G. Divin, Alexander A. Samodurov, Yuriy A. Zaharov, Alexander I. Tyurin, Yuriy I. Golovin
Publikováno v:
Инженерные технологии и системы, Vol 34, Iss 2, Pp 265-280 (2024)
Introduction. Recently, sandwich-structured composite materials based on honeycomb core and strong thin shells have become widespread. However, these materials are characterized by manufacturing and operational flaws such as “non-gluing” and “d
Externí odkaz:
https://doaj.org/article/2f3354861e094055b956f344b6d1eca5
Autor:
Rumenskikh, M. S., Chibranov, A. A., Efimov, M. A., Berezutsky, A. G., Posukh, V. G., Zakharov, Yu. P., Boyarintsev, E. L., Miroshnichenko, I. B., Trushin, P. A., Divin, A. V., Shaikhislamov, I. F.
The paper presents results of laboratory experiment modeling the interaction between Lunar magnetic anomalies and Solar wind. To model the LMA we use quadrupole magnetic field. The main dimentionless parameter of the problem, the ion inertia length r
Externí odkaz:
http://arxiv.org/abs/2208.10566
Publikováno v:
In The Extractive Industries and Society December 2024 20
Autor:
Voukali, Eleni, Divín, Daniel, Samblas, Mercedes Goméz, Veetil, Nithya Kuttiyarthu, Krajzingrová, Tereza, Těšický, Martin, Li, Tao, Melepat, Balraj, Talacko, Pavel, Vinkler, Michal
Publikováno v:
In Developmental and Comparative Immunology October 2024 159