Zobrazeno 1 - 10
of 39 414
pro vyhledávání: '"P, Palma"'
Adversarial training is arguably the most popular way to provide empirical robustness against specific adversarial examples. While variants based on multi-step attacks incur significant computational overhead, single-step variants are vulnerable to a
Externí odkaz:
http://arxiv.org/abs/2410.01617
Autor:
Aiello, S., Albert, A., Alhebsi, A. R., Alshamsi, M., Garre, S. Alves, Ambrosone, A., Ameli, F., Andre, M., Aphecetche, L., Ardid, M., Ardid, S., Atmani, H., Aublin, J., Badaracco, F., Bailly-Salins, L., Bardacova, Z., Baret, B., Bariego-Quintana, A., Becherini, Y., Bendahman, M., Benfenati, F., Benhassi, M., Bennani, M., Benoit, D. M., Berbee, E., Bertin, V., Biagi, S., Boettcher, M., Bonanno, D., Bouasla, A. B., Boumaaza, J., Bouta, M., Bouwhuis, M., Bozza, C., Bozza, R. M., Branzas, H., Bretaudeau, F., Breuhaus, M., Bruijn, R., Brunner, J., Bruno, R., Buis, E., Buompane, R., Busto, J., Caiffi, B., Calvo, D., Capone, A., Carenini, F., Carretero, V., Cartraud, T., Castaldi, P., Cecchini, V., Celli, S., Cerisy, L., Chabab, M., Chen, A., Cherubini, S., Chiarusi, T., Circella, M., Cocimano, R., Coelho, J. A. B., Coleiro, A., Condorelli, A., Coniglione, R., Coyle, P., Creusot, A., Cuttone, G., Dallier, R., De Benedittis, A., De Martino, B., De Wasseige, G., Decoene, V., Del Rosso, I., Di Mauro, L. S., Di Palma, I., Diaz, A. F., Diego-Tortosa, D., Distefano, C., Domi, A., Donzaud, C., Dornic, D., Drakopoulou, E., Drouhin, D., Ducoin, J. -G., Dvornicky, R., Eberl, T., Eckerova, E., Eddymaoui, A., van Eeden, T., Eff, M., van Eijk, D., Bojaddaini, I. El, Hedri, S. El, Ellajosyula, V., Enzenhoefer, A., Ferrara, G., Filipovic, M. D., Filippini, F., Franciotti, D., Fusco, L. A., Gagliardini, S., Gal, T., Mendez, J. Garcia, Soto, A. Garcia, Oliver, C. Gatius, Geißelbrecht, N., Genton, E., Ghaddari, H., Gialanella, L., Gibson, B. K., Giorgio, E., Goos, I., Goswami, P., Gozzini, S. R., Gracia, R., Guidi, C., Guillon, B., Gutierrez, M., Haack, C., van Haren, H., Heijboer, A., Hennig, L., Hernandez-Rey, J. J., Ibnsalih, W. Idrissi, Illuminati, G., Joly, D., de Jong, M., de Jong, P., Jung, B. J., Kistauri, G., Kopper, C., Kouchner, A., Kovalev, Y. Y., Kueviakoe, V., Kulikovskiy, V., Kvatadze, R., Labalme, M., Lahmann, R., Lamoureux, M., Larosa, G., Lastoria, C., Lazo, A., Stum, S. Le, Lehaut, G., Lemaitre, V., Leonora, E., Lessing, N., Levi, G., Clark, M. Lindsey, Longhitano, F., Magnani, F., Majumdar, J., Malerba, L., Mamedov, F., Manczak, J., Manfreda, A., Marconi, M., Margiotta, A., Marinelli, A., Markou, C., Martin, L., Mastrodicasa, M., Mastroianni, S., Mauro, J., Miele, G., Migliozzi, P., Migneco, E., Mitsou, M. L., Mollo, C. M., Morales-Gallegos, L., Moussa, A., Mateo, I. Mozun, Muller, R., Musone, M. R., Musumeci, M., Navas, S., Nayerhoda, A., Nicolau, C. A., Nkosi, B., Fearraigh, B. O., Oliviero, V., Orlando, A., Oukacha, E., Gonzalez, D. Paesaniy J. Palacios, Papalashvili, G., Parisi, V., Gomez, E. J. Pastor, Pastore, C., Paun, A. M., Pavala, G. E., Martinez, S. Pena, Perrin-Terrin, M., Pestel, V., Pestes, R., Piattelli, P., Plavin, A., Poire, C., Popa, V., Pradier, T., Prado, J., Pulvirenti, S., Quiroz-Rangel, C. A., Randazzo, N., Razzaque, S., Rea, I. C., Real, D., Robinson, G. Riccobene. J., Romanov, A., Ros, E., Saina, A., Greus, F. Salesa, Samtleben, D. F. E., Losa, A. Sanchez, Sanfilippo, S., Sanguineti, M., Santonocito, D., Sapienza, P., Schnabel, J., Schumann, J., Schutte, H. M., Seneca, J., Sgura, I., Shanidze, R., Sharma, A., Shitov, Y., Simkovic, F., Simonelli, A., Sinopoulou, A., Spisso, B., Spurio, M., Stavropoulos, D., Stekl, I., Stellacci, S. M., Taiuti, M., Tayalati, Y., Thiersen, H., Thoudam, S., Tosta, I., Melo, e, Trocme, B., Tsourapis, V., Tudorache, A., Tzamariudaki, E., Ukleja, A., Vacheret, A., Valsecchi, V., Van Elewyck, V., Vannoye, G., Vasileiadis, G., de Sola, F. Vazquez, Veutro, A., Viola, S., Vivolo, D., van Vliet, A., de Wolf, E., Lhenry-Yvon, I., Zavatarelli, S., Zegarelli, A., Zito, D., Zornoza, J. D., Zuniga, J., Zywucka, N.
Neutrinos described as an open quantum system may interact with the environment which introduces stochastic perturbations to their quantum phase. This mechanism leads to a loss of coherence along the propagation of the neutrino $-$ a phenomenon commo
Externí odkaz:
http://arxiv.org/abs/2410.01388
Quantum extreme learning machines (QELMs) leverage untrained quantum dynamics to efficiently process information encoded in input quantum states, avoiding the high computational cost of training more complicated nonlinear models. On the other hand, q
Externí odkaz:
http://arxiv.org/abs/2409.06782
Autor:
Betti, F., Bona, M., Ciuchini, M., Derkach, D., Di Palma, R., Kagan, A. L., Lubicz, V., Martinelli, G., Pierini, M., Silvestrini, L., Tarantino, C., Vagnoni, V.
We present an updated global analysis of beauty decays sensitive to the angle $\gamma$ of the Cabibbo-Kobayashi-Maskawa matrix and of $D$-meson mixing data in the framework of approximate universality for charm mixing. We extract the fundamental theo
Externí odkaz:
http://arxiv.org/abs/2409.06449
Autor:
Alemanno, F., An, Q., Azzarello, P., Barbato, F. C. T., Bernardini, P., Bi, X. J., Cagnoli, I., Cai, M. S., Casilli, E., Catanzani, E., Chang, J., Chen, D. Y., Chen, J. L., Chen, Z. F., Coppin, P., Cui, M. Y., Cui, T. S., Cui, Y. X., Dai, H. T., De Benedittis, A., De Mitri, I., de Palma, F., Di Giovanni, A., Ding, Q., Dong, T. K., Dong, Z. X., Donvito, G., Droz, D., Duan, J. L., Duan, K. K., Fan, R. R., Fan, Y. Z., Fang, F., Fang, K., Feng, C. Q., Feng, L., Frieden, J. M., Fusco, P., Gao, M., Gargano, F., Gong, K., Gong, Y. Z., Guo, D. Y., Guo, J. H., Han, S. X., Hu, Y. M., Huang, G. S., Huang, X. Y., Huang, Y. Y., Ionica, M., Jiang, L. Y., Jiang, Y. Z., Jiang, W., Kong, J., Kotenko, A., Kyratzis, D., Lei, S. J., Li, W. H., Li, W. L., Li, X., Li, X. Q., Liang, Y. M., Liu, C. M., Liu, H., Liu, J., Liu, S. B., Liu, Y., Loparco, F., Luo, C. N., Ma, M., Ma, P. X., Ma, T., Ma, X. Y., Marsella, G., Mazziotta, M. N., Mo, D., Niu, X. Y., Pan, X., Parenti, A., Peng, W. X., Peng, X. Y., Perrina, C., Putti-Garcia, E., Qiao, R., Rao, J. N., Ruina, A., Sarkar, R., Savina, P., Serpolla, A., Shangguan, Z., Shen, W. H., Shen, Z. Q., Shen, Z. T., Silveri, L., Song, J. X., Stolpovskiy, M., Su, H., Su, M., Sun, H. R., Sun, Z. Y., Surdo, A., Teng, X. J., Tykhonov, A., Wang, J. Z., Wang, L. G., Wang, S., Wang, S. X., Wang, X. L., Wang, Y., Wang, Y. F., Wang, Y. Z., Wang, Z. M., Wei, D. M., Wei, J. J., Wei, Y. F., Wu, D., Wu, J., Wu, S. S., Wu, X., Xia, Z. Q., Xu, H. T., Xu, J., Xu, Z. H., Xu, Z. L., Xu, E. H., Xu, Z. Z., Xue, G. F., Yang, H. B., Yang, P., Yang, Y. Q., Yao, H. J., Yu, Y. H., Yuan, G. W., Yuan, Q., Yue, C., Zang, J. J., Zhang, S. X., Zhang, W. Z., Zhang, Yan, Zhang, Yi, Zhang, Y. J., Zhang, Y. L., Zhang, Y. P., Zhang, Y. Q., Zhang, Z., Zhang, Z. Y., Zhao, C., Zhao, H. Y., Zhao, X. F., Zhou, C. Y., Zhu, Y.
Precise direct cosmic-ray (CR) measurements provide an important probe to study the energetic particle sources in our Galaxy, and the interstellar environment through which these particles propagate. Uncertainties on hadronic models, ion-nucleon cros
Externí odkaz:
http://arxiv.org/abs/2408.17224
Autor:
Salvador, Maria Letícia, Palma, Gabriel Rodrigues, Moral, Rafael de Andrade, de Lara, Idemauro Antonio Rodrigues
Experiments in Agricultural Sciences often involve the analysis of longitudinal nominal polytomous variables, both in individual and grouped structures. Marginal and mixed-effects models are two common approaches. The distributional assumptions induc
Externí odkaz:
http://arxiv.org/abs/2408.15061
Autor:
Brooks, Hunter, Caselden, Dan, Kirkpatrick, J. Davy, Raghu, Yadukrishna, Elachi, Charles, Grigorian, Jake, Trek, Asa, Washburn, Andrew, Higashimura, Hiro, Meisner, Aaron, Schneider, Adam, Faherty, Jacqueline, Marocco, Federico, Gelino, Christopher, Gagné, Jonathan, Bickle, Thomas, Tang, Shih-yun, Rothermich, Austin, Burgasser, Adam, Kuchner, Marc J., Beaulieu, Paul, Bell, John, Colin, Guillaume, Colombo, Giovanni, Dereveanco, Alexandru, Flores, Deiby, Glebov, Konstantin, Gramaize, Leopold, Hamlet, Les, Hinckley, Ken, Kabatnik, Martin, Kiwy, Frank, Martin, David, Palma, Raul, Pendrill, William, Ruiz, Lizzeth, Sanchez, John, Sainio, Arttu, SchÜmann, JÖrg, Schonau, Manfred, Tanner, Christopher, Andersen, Nikolaj Stevnbak, Stenner, Andrés, Thévenot, Melina, Thakur, Vinod, Voloshin, Nikita, Wedracki, Zbigniew
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named \texttt{SMDET}, applied to time series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric da
Externí odkaz:
http://arxiv.org/abs/2408.14447
We address the problem of verifying neural networks against geometric transformations of the input image, including rotation, scaling, shearing, and translation. The proposed method computes provably sound piecewise linear constraints for the pixel v
Externí odkaz:
http://arxiv.org/abs/2408.13140
Autor:
Abdurakhimov, Leonid, Adam, Janos, Ahmad, Hasnain, Ahonen, Olli, Algaba, Manuel, Alonso, Guillermo, Bergholm, Ville, Beriwal, Rohit, Beuerle, Matthias, Bockstiegel, Clinton, Calzona, Alessio, Chan, Chun Fai, Cucurachi, Daniele, Dahl, Saga, Davletkaliyev, Rakhim, Fedorets, Olexiy, Frieiro, Alejandro Gomez, Gao, Zheming, Guldmyr, Johan, Guthrie, Andrew, Hassel, Juha, Heimonen, Hermanni, Heinsoo, Johannes, Hiltunen, Tuukka, Holland, Keiran, Hotari, Juho, Hsu, Hao, Huhtala, Antti, Hyyppä, Eric, Hämäläinen, Aleksi, Ikonen, Joni, Inel, Sinan, Janzso, David, Jaakkola, Teemu, Jenei, Mate, Jolin, Shan, Juliusson, Kristinn, Jussila, Jaakko, Khalid, Shabeeb, Kim, Seung-Goo, Koistinen, Miikka, Kokkoniemi, Roope, Komlev, Anton, Ockeloen-Korppi, Caspar, Koskinen, Otto, Kotilahti, Janne, Kuisma, Toivo, Kukushkin, Vladimir, Kumpulainen, Kari, Kuronen, Ilari, Kylmälä, Joonas, Lamponen, Niclas, Lamprich, Julia, Landra, Alessandro, Leib, Martin, Li, Tianyi, Liebermann, Per, Lintunen, Aleksi, Liu, Wei, Luus, Jürgen, Marxer, Fabian, de Griend, Arianne Meijer-van, Mitra, Kunal, Moqadam, Jalil Khatibi, Mrożek, Jakub, Mäkynen, Henrikki, Mäntylä, Janne, Naaranoja, Tiina, Nappi, Francesco, Niemi, Janne, Ortega, Lucas, Palma, Mario, Papič, Miha, Partanen, Matti, Penttilä, Jari, Plyushch, Alexander, Qiu, Wei, Rath, Aniket, Repo, Kari, Riipinen, Tomi, Ritvas, Jussi, Romero, Pedro Figueroa, Ruoho, Jarkko, Räbinä, Jukka, Saarinen, Sampo, Sagar, Indrajeet, Sargsyan, Hayk, Sarsby, Matthew, Savola, Niko, Savytskyi, Mykhailo, Selinmaa, Ville, Smirnov, Pavel, Suárez, Marco Marín, Sundström, Linus, Słupińska, Sandra, Takala, Eelis, Takmakov, Ivan, Tarasinski, Brian, Thapa, Manish, Tiainen, Jukka, Tosto, Francesca, Tuorila, Jani, Valenzuela, Carlos, Vasey, David, Vehmaanperä, Edwin, Vepsäläinen, Antti, Vienamo, Aapo, Vesanen, Panu, Välimaa, Alpo, Wesdorp, Jaap, Wurz, Nicola, Wybo, Elisabeth, Yang, Lily, Yurtalan, Ali
Quantum computing has tremendous potential to overcome some of the fundamental limitations present in classical information processing. Yet, today's technological limitations in the quality and scaling prevent exploiting its full potential. Quantum c
Externí odkaz:
http://arxiv.org/abs/2408.12433
The decisions traders make to buy or sell an asset depend on various analyses, with expertise required to identify patterns that can be exploited for profit. In this paper we identify novel features extracted from emergent and well-established financ
Externí odkaz:
http://arxiv.org/abs/2409.03762