Zobrazeno 1 - 10
of 24 010
pro vyhledávání: '"Friedl, A. A."'
Autor:
Dong, Yifei, Han, Shaohang, Cheng, Xianyi, Friedl, Werner, Muchacho, Rafael I. Cabral, Roa, Máximo A., Tumova, Jana, Pokorny, Florian T.
Inherent robustness in manipulation is prevalent in biological systems and critical for robotic manipulation systems due to real-world uncertainties and disturbances. This robustness relies not only on robust control policies but also on the design c
Externí odkaz:
http://arxiv.org/abs/2409.11113
Autor:
Angloher, G., Bharadwaj, M. R., Cababie, M., Colantoni, I., Dafinei, I., De Santis, A. L., Di Marco, N., Einfalt, L., Ferella, F., Ferroni, F., Fichtinger, S., Filipponi, A., Frank, T., Friedl, M., Ge, Z., Heikinheimo, M., Hughes, M. N., Huitu, K., Kellermann, M., Maji, R., Mancuso, M., Pagnanini, L., Petricca, F., Pirro, S., Pröbst, F., Profeta, G., Puiu, A., Reindl, F., Schaeffner, K., Schieck, J., Schreiner, P., Schwertner, C., Shera, K., Stahlberg, M., Stendhal, A., Stukel, M., Tresca, C., Wagner, F., Yue, S., Zema, V., Zhu, Y., Pagliaroli, G.
While neutrinos are often treated as a background for many dark matter experiments, these particles offer a new avenue for physics: the detection of core-collapse supernovae. Supernovae are extremely energetic, violent and complex events that mark th
Externí odkaz:
http://arxiv.org/abs/2409.09109
The ribbon number $r(K)$ of a ribbon knot $K \subset S^3$ is the minimal number of ribbon intersections contained in any ribbon disk bounded by $K$. We find new lower bounds for $r(K)$ using $\det(K)$ and $\Delta_K(t)$, and we prove that the set $\ma
Externí odkaz:
http://arxiv.org/abs/2408.11618
Autor:
Aihara, H., Aloisio, A., Auguste, D. P., Aversano, M., Babeluk, M., Bahinipati, S., Banerjee, Sw., Barbero, M., Baudot, J., Beaubien, A., Becherer, F., Bergauer, T., Bernlochner., F. U., Bertacchi, V., Bertolone, G., Bespin, C., Bessner, M., Bettarini, S., Bevan, A. J., Bhuyan, B., Bona, M., Bonis, J. F., Borah, J., Bosi, F., Boudagga, R., Bozek, A., Bračko, M., Branchini, P., Breugnon, P., Browder, T. E., Buch, Y., Budano, A., Campajola, M., Casarosa, G., Cecchi, C., Chen, C., Choudhury, S., Corona, L., de Marino, G., De Nardo, G., De Pietro, G., de Sangro, R., Dey, S., Dingfelder, J. C., Dong, T. V., Dorokhov, A., Dujany, G., Epifanov, D., Federici, L., Ferber, T., Fillinger, T., Finck, Ch., Finocchiaro, G., Forti, F., Frey, A., Friedl, M., Gabrielli, A., Gaioni, L., Gao, Y., Gaudino, G., Gaur, V., Gaz, A., Giordano, R., Giroletti, S., Gobbo, B., Godang, R., Haide, I., Han, Y., Hara, K., Hayasaka, K., Hearty, C., Heidelbach, A., Higuchi, T., Himmi, A., Hoferichter, M., Howgill, D. A., Hu-Guo, C., Iijima, T., Inami, K., Irmler, C., Ishikawa, A., Itoh, R., Iyer, D., Jacobs, W. W., Jaffe, D. E., Jin, Y., Junginger, T., Kandra, J., Kojima, K., Koga, T., Korobov, A. A., Korpar, S., Križan, P., Krüger, H., Kuhr, T., Kumar, A., Kumar, R ., Kuzmin, A., Kwon, Y. -J., Lacaprara, S., Lacasta, C., Lai, Y. -T., Lalwani, K., Lam, T., Lanceri, L., Lee, M. J., Leonidopoulos, C., Levit, D., Lewis, P. M., Libby, J. F., Liu, Q. Y., Liu, Z. Y., Liventsev, D., Longo, S., Mancinelli, G., Manghisoni, M., Manoni, E., Marinas, C., Martellini, C., Martens, A., Massa, M., Massaccesi, L., Mawas, F., Mazorra, J., Merola, M., Miller, C., Minuti, M., Mizuk, R., Modak, A., Moggi, A., Mohanty, G. B., Moneta, S., Muller, Th., Na, I., Nakamura, K. R., Nakao, M., Natochii, A., Niebuhr, C., Nishida, S., Novosel, A., Pangaud, P., Parker, B., Passeri, A., Pedlar, T. K., Peinaud, Y., Peng, Y., Peschke, R., Pestotnik, R., Pham, T. H., Piccolo, M., Piilonen, L. E., Prell, S., Purohit, M. V., Ratti, L., Re, V., Reuter, L., Riceputi, E., Ripp-Baudot, I., Rizzo, G., Roney, J. M., Russo, A., Sandilya, S., Santelj, L., Savinov, V., Scavino, B., Schall, L., Schnell, G., Schwanda, C., Schwartz, A. J., Schwenker, B., Schwickardi, M., Seljak, A., Serrano, J., Shiu, J. -G., Shwartz, B., Simon, F., Soffer, A., Song, W. M., Starič, M., Stavroulakis, P., Stefkova, S., Stroili, R., Tanaka, S., Taniguchi, N., Teotia, V., Tessema, N., Thalmeier, R., Torassa, E., Trabelsi, K., Trantou, F. F., Traversi, G., Urquijo, P., Vahsen, S. E., Valin, I., Varner, G. S., Varvell, K. E., Vitale, L., Vobbilisetti, V., Wang, X. L., Wessel, C., Wienands, H. U., Won, E., Xu, D., Yamada, S., Yin, J. H., Yoshihara, K., Yuan, C. Z., Zani, L., Zong, Z., Zou, S.
We describe the planned near-term and potential longer-term upgrades of the Belle II detector at the SuperKEKB electron-positron collider operating at the KEK laboratory in Tsukuba, Japan. These upgrades will allow increasingly sensitive searches for
Externí odkaz:
http://arxiv.org/abs/2406.19421
Autor:
Angloher, G., Bharadwaj, M. R., Cababie, M., Dafinei, I., Di Marco, N., Einfalt, L., Ferroni, F., Fichtinger, S., Filipponi, A., Frank, T., Friedl, M., Ge, Z., Heikinheimo, M., Hughes, M. N., Huitu, K., Kellermann, M., Maji, R., Mancuso, M., Pagnanini, L., Petricca, F., Pirro, S., Pröbst, F., Profeta, G., Puiu, A., Reindl, F., Schäffner, K., Schieck, J., Schmiedmayer, D., Schreiner, P., Schwertner, C., Shera, K., Stahlberg, M., Stendhal, A., Stukel, M., Tresca, C., Wagner, F., Yue, S., Zema, V., Zhu, Y.
COSINUS is a dark matter (DM) direct search experiment that uses sodium iodide (NaI) crystals as cryogenic calorimeters. Thanks to the low nuclear recoil energy threshold and event-by-event discrimination capability, COSINUS will address the long-sta
Externí odkaz:
http://arxiv.org/abs/2406.12870
We give a necessary condition for two diagrams of $3$-regular spatial graphs with the same underlying abstract graph $G$ to represent isotopic spatial graphs. The test works by reading off the writhes of the knot diagrams coming from a collection of
Externí odkaz:
http://arxiv.org/abs/2404.09649
Autor:
Nicholas, Gabriel, Friedl, Paul
On July 20, 2023, a group of 27 scholars and digital rights advocates with expertise in law, computer science, political science, and other disciplines gathered for the Large Language Models, Law and Policy Roundtable, co-hosted by the NYU School of
Externí odkaz:
http://arxiv.org/abs/2403.15397
Autor:
Mondal, S., Adamczyk, K., Aggarwal, L., Aihara, H., Aziz, T., Bacher, S., Bahinipati, S., Batignani, G., Baudot, J., Behera, P. K., Bettarini, S., Bilka, T., Bozek, A., Buchsteiner, F., Casarosa, G., Corona, L., Das, S. B., Dujany, G., Finck, C., Forti, F., Friedl, M., Gabrielli, A., Gobbo, B., Halder, S., Hara, K., Hazra, S., Higuchi, T., Irmler, C., Ishikawa, A., Jin, Y., Kaleta, M., Kaliyar, A. B., Kandra, J., Kang, K. H., Kodyš, P., Kohriki, T., Kumar, R., Lalwani, K., Lautenbach, K., Leboucher, R., Lee, S. C., Libby, J., Martel, L., Massaccesi, L., Mohanty, G. B., Nakamura, K. R., Natkaniec, Z., Onuki, Y., Otani, F., PaladinoA, A., Paoloni, E., Park, H., Polat, L., Rao, K. K., Ripp-Baudot, I., Rizzo, G., Sato, Y., Schwanda, C., Serrano, J., Shimasaki, T., Suzuki, J., Tanaka, S., Tanigawa, H., Tenchini, F., Thalmeier, R., Tiwary, R., Tsuboyama, T., Uematsu, Y., Vitale, L., Wang, Z., Webb, J., Werbycka, O., Wiechczynski, J., Yin, H., Zani, L.
Publikováno v:
JINST 19 C02038 (2024)
The silicon vertex detector (SVD) is installed at the heart of the Belle II experiment, taking data at the high-luminosity $B$-Factory SuperKEKB since 2019. The detector has shown a stable and above-99\% hit efficiency, with a large signal-to-noise i
Externí odkaz:
http://arxiv.org/abs/2312.06501
Autor:
Friedl, Ken E., Khan, Abbas Goher, Sahoo, Soumya Ranjan, Rony, Md Rashad Al Hasan, Germies, Jana, Süß, Christian
The assessment of advanced generative large language models (LLMs) poses a significant challenge, given their heightened complexity in recent developments. Furthermore, evaluating the performance of LLM-based applications in various industries, as in
Externí odkaz:
http://arxiv.org/abs/2311.07469
Autor:
Rony, Md Rashad Al Hasan, Suess, Christian, Bhat, Sinchana Ramakanth, Sudhi, Viju, Schneider, Julia, Vogel, Maximilian, Teucher, Roman, Friedl, Ken E., Sahoo, Soumya
Large language models (LLMs) have demonstrated remarkable performance by following natural language instructions without fine-tuning them on domain-specific tasks and data. However, leveraging LLMs for domain-specific question answering suffers from
Externí odkaz:
http://arxiv.org/abs/2310.09536