Zobrazeno 1 - 10
of 1 605
pro vyhledávání: '"Pfahler, A."'
Autor:
Hahn, Leonhard, Pfahler, Tim, Bader, Tobias, Gold, Gerald, Vossiek, Martin, Carlowitz, Christian
This paper reports on 3D-printed dielectric image lines for low-loss subTHz applications between 140 and 220 GHz. In contrast to conventional dielectric waveguides, a conductive copper substrate is used to achieve robust routing and increased mechani
Externí odkaz:
http://arxiv.org/abs/2403.03657
Autor:
Pfahler, Simon, Georg, Peter, Schill, Rudolf, Klever, Maren, Grasedyck, Lars, Spang, Rainer, Wettig, Tilo
Publikováno v:
Statistics and Computing 34 (2024) 168
The Kullback-Leibler (KL) divergence is frequently used in data science. For discrete distributions on large state spaces, approximations of probability vectors may result in a few small negative entries, rendering the KL divergence undefined. We add
Externí odkaz:
http://arxiv.org/abs/2312.13021
Autor:
Wald, Celine, Pfahler, Lukas
Progress in natural language generation research has been shaped by the ever-growing size of language models. While large language models pre-trained on web data can generate human-sounding text, they also reproduce social biases and contribute to th
Externí odkaz:
http://arxiv.org/abs/2306.02294
Autor:
Pfahler, Lukas, Morik, Katharina
Given the increase of publications, search for relevant papers becomes tedious. In particular, search across disciplines or schools of thinking is not supported. This is mainly due to the retrieval with keyword queries: technical terms differ in diff
Externí odkaz:
http://arxiv.org/abs/2209.00446
Publikováno v:
IEEE Access, Vol 12, Pp 129173-129186 (2024)
Flight dynamic-based physical models are employed to assess the risk of runway overruns, predicting risk based on the metric given by the distance to a controllable speed of 80 knots after landing. The analysis incorporates Quick Access Recorder (QAR
Externí odkaz:
https://doaj.org/article/40472634e6294547a60dfc1ce88805bd
Publikováno v:
IEEE Journal of Microwaves, Vol 4, Iss 3, Pp 404-415 (2024)
This paper presents an ultra-broadband, low-loss, flexible liquid crystal polymer substrate-to-substrate interconnect with a bandwidth of more than 130 GHz. The transition discontinuity was minimized by maintaining both the reference impedance and th
Externí odkaz:
https://doaj.org/article/fcb12de26e864130bd27fdea3f46646a
Autor:
Double Chooz Collaboration, de Kerret, H., Abe, Y., Aberle, C., Abrahão, T., Ahijado, J. M., Akiri, T., Alarcón, J. M., Alba, J., Almazan, H., Anjos, J. C. dos, Appel, S., Ardellier, F., Barabanov, I., Barriere, J. C., Baussan, E., Baxter, A., Bekman, I., Bergevin, M., Bernstein, A., Bertoli, W., Bezerra, T. J. C., Bezrukov, L., Blanco, C., Bleurvacq, N., Blucher, E., Bonet, H., Bongrand, M., Bowden, N. S, Brugière, T., Buck, C., Avanzini, M. Buizza, Busenitz, J., Cabrera, A., Calvo, E., Camilleri, L., Carr, R., Cazaux, S., Cela, J. M., Cerrada, M., Chang, P. J., Charon, P., Chauveau, E., Chimenti, P., Classen, T., Collin, A. P., Conover, E., Conrad, J. M, Cormon, S., Corpace, O., Courty, B., Crespo-Anadón, J. I., Cribier, M., Crum, K., Cuadrado, S., Cucoanes, A., D'Agostino, M., Damon, E., Dawson, J. V., Dazeley, S., Dierckxsens, M., Dietrich, D., Djurcic, Z., Dorigo, F., Dracos, M., Durand, V., Efremekov, Y., Elnimr, M., Etenko, A., Falk, E., Fallot, M., Fechner, M., Felde, J., Fernandes, S. M., Fernández-Bedoya, C., Francia, D., Franco, D., Fischer, V., Franke, A. J., Franke, M., Furuta, H., Garcia, F., Garcia, J., Gil-Botella, I., Giot, L., Givaudan, A., Göger-Neff, M., Gomez, H., Gonzalez, L. F. G., Goodenough, L., Goodman, M. C., Goon, J., Gramlich, B., Greiner, D., Guertin, A., Guillon, B., Habib, S. M., Haddad, Y., Hara, T., Hartmann, F. X., Hartnell, J., Haser, J., Hatzikoutelis, A., Hellwig, D., Hervé, S., Hofacker, R., Horton-Smith, G., Hourlier, A., Ishitsuka, M., Jänner, K., Jiménez, S., Jochum, J., Jollet, C., Kaether, F., Kale, K., Kalousis, L., Kamyshkov, Y., Kaneda, M., Kaplan, D. M., Karakac, M., Kawasaki, T., Kemp, E., Kibe, Y., Kirchner, T., Konno, T., Kryn, D., Kutter, T., Kuze, M., Lachenmaier, T., Lane, C. E., Langbrandtner, C., Lasserre, T., Lastoria, C., Latron, L., Leonardo, C., Letourneau, A., Lhuillier, D., Lima Jr, H. P., Lindner, M., López-Castaño, J. M., LoSecco, J. M., Lubsandorzhiev, B., Lucht, S., Maeda, J., Maesano, C. N., Mariani, C., Maricic, J., Marie, F., Martinez, J. J., Martino, J., Matsubara, T., McKee, D., Meigner, F., Mention, G., Meregaglia, A., Meyer, J. P., Miletic, T., Milincic, R., Millot, J. F., Minotti, A., Mirones, V., Miyata, H., Mueller, Th. A., Nagasaka, Y., Nakajima, K., Navas-Nicolás, D., Nikitenko, Y., Novella, P., Oberauer, L., Obolensky, M., Onillon, A., Oralbaev, A., Ostrovskiy, I., Palomares, C., Peeters, S. J. M., Pepe, I. M., Perasso, S., Perrin, P., Pfahler, P., Porta, A., Pronost, G., Puras, J. C., Quéval, R., Ramirez, J. L., Reichenbacher, J., Reinhold, B., Reissfelder, M., Remoto, A., Reyna, D., Rodriguez, I., Röhling, M., Roncin, R., Rudolf, N., Rybolt, B., Sakamoto, Y., Santorelli, R., Sato, F., Schwan, U., Scola, L., Settimo, M., Schönert, S., Schoppmann, S., Shaevitz, M. A., Sharankova, R., Sibille, V., Sida, J. L., Sinev, V., Shrestha, D., Skorokhvatov, M., Soldin, P., Spitz, J., Stahl, A., Stancu, I., Starzynski, P., Stock, M. R., Stokes, L. F. F., Strait, M., Stüken, A., Suekane, F., Sukhotin, S., Sumiyoshi, T., Sun, Y., Sun, Z., Svoboda, R., Tabata, H., Tamura, N., Terao, K., Tonazzo, A., Toral, F., Toups, M., Thi, H. Trinh, Valdivia, F., Valdiviesso, G., Vassilopoulos, N., Verdugo, A., Veyssiere, C., Viaud, B., Vignaud, D., Vivier, M., Wagner, S., Wiebusch, C., White, B., Winslow, L., Worcester, M., Wurm, M., Wurtz, J., Yang, G., Yáñez, J., Yermia, F., Zbiri, K.
Publikováno v:
Eur.Phys.J. C (2022) 82:804
This article describes the setup and performance of the near and far detectors in the Double Chooz experiment. The electron antineutrinos of the Chooz nuclear power plant were measured in two identically designed detectors with different average base
Externí odkaz:
http://arxiv.org/abs/2201.13285
Autor:
Pfahler, Lukas, Morik, Katharina
We propose a novel explanation method that explains the decisions of a deep neural network by investigating how the intermediate representations at each layer of the deep network were refined during the training process. This way we can a) find the m
Externí odkaz:
http://arxiv.org/abs/2109.05880
Autor:
Madsen, Julia, Dascalos, Zoe, Ramsey, Kristina, Mayer, Freddie, Wong, Connie, Raposo, Zach, Hunter, Rachel, Reinhart, Mac, Carlson, Alexandra, Catlin, Austin, Mihelic, Tanner, Pfahler, Zoe, Carroll, Alec, Angelich, Kyle, Stubler, Craig, Sun, Dennis, Betts, Aaron, Appel, Chip
Publikováno v:
In Chemosphere August 2024 362
Gamma hadron classification, a central machine learning task in gamma ray astronomy, is conventionally tackled with supervised learning. However, the supervised approach requires annotated training data to be produced in sophisticated and costly simu
Externí odkaz:
http://arxiv.org/abs/2108.13396