Zobrazeno 1 - 10
of 1 757
pro vyhledávání: '"A P Zaytsev"'
Autor:
Erlygin, Leonid, Zaytsev, Alexey
Accurately estimating image quality and model robustness improvement are critical challenges in unconstrained face recognition, which can be addressed through uncertainty estimation via probabilistic face embeddings. Previous research mainly focused
Externí odkaz:
http://arxiv.org/abs/2408.14229
Autor:
Yugay, Aleksandr, Zaytsev, Alexey
High-quality representation of transactional sequences is vital for modern banking applications, including risk management, churn prediction, and personalized customer offers. Different tasks require distinct representation properties: local tasks be
Externí odkaz:
http://arxiv.org/abs/2408.09995
Autor:
Kuleshov, Ilya, Boeva, Galina, Zhuzhel, Vladislav, Romanenkova, Evgenia, Vorsin, Evgeni, Zaytsev, Alexey
Observation of the underlying actors that generate event sequences reveals that they often evolve continuously. Most modern methods, however, tend to model such processes through at most piecewise-continuous trajectories. To address this, we adopt a
Externí odkaz:
http://arxiv.org/abs/2408.08055
Knowledge Graph Embedding (KGE) is a popular approach, which aims to represent entities and relations of a knowledge graph in latent spaces. Their representations are known as embeddings. To measure the plausibility of triplets, score functions are d
Externí odkaz:
http://arxiv.org/abs/2407.16326
Autor:
SuperCDMS Collaboration, Albakry, M. F., Alkhatib, I., Alonso-González, D., Amaral, D. W. P., Anczarski, J., Aralis, T., Aramaki, T., Arnquist, I. J., Langroudy, I. Ataee, Azadbakht, E., Bathurst, C., Bhattacharyya, R., Biffl, A. J., Brink, P. L., Buchanan, M., Bunker, R., Cabrera, B., Calkins, R., Cameron, R. A., Cartaro, C., Cerdeño, D. G., Chang, Y. -Y., Chaudhuri, M., Chen, J. -H., Chen, R., Chott, N., Cooley, J., Coombes, H., Cushman, P., Cyna, R., Das, S., De Brienne, F., Dharani, S., di Vacri, M. L., Diamond, M. D., Elwan, M., Fascione, E., Figueroa-Feliciano, E., Fouts, K., Fritts, M., Germond, R., Ghaith, M., Golwala, S. R., Hall, J., Harms, S. A. S., Harris, K., Hassan, N., Hong, Z., Hoppe, E. W., Hsu, L., Huber, M. E., Iyer, V., Jardin, D., Kashyap, V. K. S., Keller, S. T. D., Kelsey, M. H., Kennard, K. T., Kubik, A., Kurinsky, N. A., Lee, M., Leyva, J., Liu, J., Liu, Y., Loer, B., Asamar, E. Lopez, Lukens, P., MacFarlane, D. B., Mahapatra, R., Mammo, J. S., Mast, N., Mayer, A. J., Theenhausen, H. Meyer zu, Michaud, É., Michielin, E., Mirabolfathi, N., Mirzakhani, M., Mohanty, B., Monteiro, D., Nelson, J., Neog, H., Novati, V., Orrell, J. L., Osborne, M. D., Oser, S. M., Pandey, L., Pandey, S., Partridge, R., Pedreros, D. S., Peng, W., Perna, L., Perry, W. L., Podviianiuk, R., Poudel, S. S., Pradeep, A., Pyle, M., Rau, W., Reid, E., Ren, R., Reynolds, T., Rios, M., Roberts, A., Robinson, A. E., Ryan, J. L., Saab, T., Sadek, D., Sadoulet, B., Sahoo, S. P., Saikia, I., Sander, J., Sattari, A., Schmidt, B., Schnee, R. W., Scorza, S., Serfass, B., Simchony, A., Sincavage, D. J., Sinervo, P., Street, J., Sun, H., Tanner, E., Terry, G. D., Toback, D., Verma, S., Villano, A. N., von Krosigk, B., Watkins, S. L., Wen, O., Williams, Z., Wilson, M. J., Winchell, J., Wykoff, K., Yellin, S., Young, B. A., Yu, T. C., Zatschler, B., Zatschler, S., Zaytsev, A., Zhang, E., Zheng, L., Zuniga, A., Zurowski, M. J.
This article presents constraints on dark-matter-electron interactions obtained from the first underground data-taking campaign with multiple SuperCDMS HVeV detectors operated in the same housing. An exposure of 7.63 g-days is used to set upper limit
Externí odkaz:
http://arxiv.org/abs/2407.08085
This paper presents a solution for the Multilingual Text Detoxification task in the PAN-2024 competition of the SmurfCat team. Using data augmentation through machine translation and a special filtering procedure, we collected an additional multiling
Externí odkaz:
http://arxiv.org/abs/2407.05449
Autor:
Fumagalli, Mattia, Sales, Tiago Prince, Barcelos, Pedro Paulo F., Micale, Giovanni, Zaytsev, Vadim, Calvanese, Diego, Guizzardi, Giancarlo
The problem of using structured methods to represent knowledge is well-known in conceptual modeling and has been studied for many years. It has been proven that adopting modeling patterns represents an effective structural method. Patterns are, indee
Externí odkaz:
http://arxiv.org/abs/2406.07129
Autor:
Bazarova, Alexandra, Kovaleva, Maria, Kuleshov, Ilya, Romanenkova, Evgenia, Stepikin, Alexander, Yugay, Alexandr, Mollaev, Dzhambulat, Kireev, Ivan, Savchenko, Andrey, Zaytsev, Alexey
Effective processing of financial transactions is essential for banking data analysis. However, in this domain, most methods focus on specialized solutions to stand-alone problems instead of constructing universal representations suitable for many pr
Externí odkaz:
http://arxiv.org/abs/2404.02047
Autor:
Wilson, M. J., Zaytsev, A., von Krosigk, B., Alkhatib, I., Buchanan, M., Chen, R., Diamond, M. D., Figueroa-Feliciano, E., Harms, S. A. S., Hong, Z., Kennard, K. T., Kurinsky, N. A., Mahapatra, R., Mirabolfathi, N., Novati, V., Platt, M., Ren, R., Sattari, A., Schmidt, B., Wang, Y., Zatschler, S., Zhang, E., Zuniga, A.
Publikováno v:
Phys. Rev. D 109, 112018 (2024)
Various dark matter search experiments employ phonon-based crystal detectors operated at cryogenic temperatures. Some of these detectors, including certain silicon detectors used by the SuperCDMS Collaboration, are able to achieve single-charge sensi
Externí odkaz:
http://arxiv.org/abs/2403.01259
Autor:
Proskura, Polina, Zaytsev, Alexey
Ensembles are important tools for improving the performance of machine learning models. In cases related to natural language processing, ensembles boost the performance of a method due to multiple large models available in open source. However, exist
Externí odkaz:
http://arxiv.org/abs/2402.14184