Zobrazeno 1 - 10
of 25 603
pro vyhledávání: '"Jaeger, P"'
Autor:
Wald, Tassilo, Ulrich, Constantin, Lukyanenko, Stanislav, Goncharov, Andrei, Paderno, Alberto, Maerkisch, Leander, Jäger, Paul F., Maier-Hein, Klaus
Self-Supervised Learning (SSL) presents an exciting opportunity to unlock the potential of vast, untapped clinical datasets, for various downstream applications that suffer from the scarcity of labeled data. While SSL has revolutionized fields like n
Externí odkaz:
http://arxiv.org/abs/2410.23132
Autor:
Suhasaria, T., Wee, S. M., Basalgète, R., Krasnokutski, S. A., Jäger, C., Perotti, G., Henning, Th.
Ethanolamine (NH$_2$CH$_2$CH$_2$OH, EA) has been identified in the gas phase of the ISM within molecular clouds. Although EA has not been directly observed in the molecular ice phase, a solid state formation mechanism has been proposed. However, the
Externí odkaz:
http://arxiv.org/abs/2410.12235
Autor:
Jaeger, Stefan
Contemporary machine learning methods will try to approach the Bayes error, as it is the lowest possible error any model can achieve. This paper postulates that any decision is composed of not one but two Bayesian decisions and that decision-making i
Externí odkaz:
http://arxiv.org/abs/2410.12984
Autor:
Anderson, J. P., Contreras, C., Stritzinger, M. D., Hamuy, M., Phillips, M. M., Suntzeff, N. B., Morrell, N., Gonzalez-Gaitan, S., Gutierrez, C. P., Burns, C. R., Hsiao, E. Y., Anais, J., Ashall, C., Baltay, C., Baron, E., Bersten, M., Busta, L., Castellon, S., de Jaeger, T., DePoy, D., Filippenko, A. V., Folatelli, G., Forster, F., Galbany, L., Gall, C., Goobar, A., Gonzalez, C., Hadjiyska, E., Hoeflich, P., Krisciunas, K., Krzeminski, W., Li, W., Madore, B., Marshall, J., Martinez, L., Nugent, P., Pessi, P. J., Piro, A. L., Rheault, J-P., Ryder, S., Seron, J., Shappee, B. J., Taddia, F., Torres, S., Thomas-Osip, J., Uddin, S.
Type II supernovae (SNeII) mark the endpoint in the lives of hydrogen-rich massive stars. Their large explosion energies and luminosities allow us to measure distances, metallicities, and star formation rates into the distant Universe. To fully explo
Externí odkaz:
http://arxiv.org/abs/2410.06738
Inverse design (ID) is a computational method that systematically explores a design space to find optimal device geometries based on specific performance criteria. In silicon photonics, ID often leads to devices with design features that degrade sign
Externí odkaz:
http://arxiv.org/abs/2410.07353
Autor:
Livermore, Samantha M., Pelosse, Alice, van der Naald, Michael, Kim, Hojin, Atis, Séverine, Jaeger, Heinrich M.
We measure the response of open-cell polyurethane foams filled with a dense suspension of fumed silica particles in polyethylene glycol at compression speeds spanning several orders of magnitude. The gradual compressive stress increase of the composi
Externí odkaz:
http://arxiv.org/abs/2410.02887
Autor:
Amara, Kenza, Klein, Lukas, Lüth, Carsten, Jäger, Paul, Strobelt, Hendrik, El-Assady, Mennatallah
The various limitations of Generative AI, such as hallucinations and model failures, have made it crucial to understand the role of different modalities in Visual Language Model (VLM) predictions. Our work investigates how the integration of informat
Externí odkaz:
http://arxiv.org/abs/2410.01690
Autor:
Christodoulou, Evangelia, Reinke, Annika, Houhou, Rola, Kalinowski, Piotr, Erkan, Selen, Sudre, Carole H., Burgos, Ninon, Boutaj, Sofiène, Loizillon, Sophie, Solal, Maëlys, Rieke, Nicola, Cheplygina, Veronika, Antonelli, Michela, Mayer, Leon D., Tizabi, Minu D., Cardoso, M. Jorge, Simpson, Amber, Jäger, Paul F., Kopp-Schneider, Annette, Varoquaux, Gaël, Colliot, Olivier, Maier-Hein, Lena
Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions are simply derived from mean performance values. I
Externí odkaz:
http://arxiv.org/abs/2409.17763
Autor:
Klein, Lukas, Lüth, Carsten T., Schlegel, Udo, Bungert, Till J., El-Assady, Mennatallah, Jäger, Paul F.
Explainable AI (XAI) is a rapidly growing domain with a myriad of proposed methods as well as metrics aiming to evaluate their efficacy. However, current studies are often of limited scope, examining only a handful of XAI methods and ignoring underly
Externí odkaz:
http://arxiv.org/abs/2409.16756
Autor:
Manley, Phillip, Hammerschmidt, Martin, Zschiedrich, Lin, Jäger, Klaus, Becker, Christiane, Burger, Sven
Publikováno v:
Proc. SPIE 13014, Photonics for Solar Energy Systems X, 1301404 (2024)
Luminescent coupling is a characteristic of multi-junction solar cells which has often been neglected in models of their performance. The effect describes the absorption of light emitted from a higher band gap semiconductor by a lower band gap semico
Externí odkaz:
http://arxiv.org/abs/2409.15987