Zobrazeno 1 - 10
of 15 563
pro vyhledávání: '"Hasler, A."'
Autor:
Hasler, Samantha N., Mayorga, L. C., Grundy, William M., Simon, Amy A., Benecchi, Susan D., Howett, Carly J. A., Protopapa, Silvia, Hammel, Heidi B., Wenkert, Daniel D., Stern, S. Alan, Singer, Kelsi N., Porter, Simon B., Brandt, Pontus C., Parker, Joel W., Verbiscer, Anne J., Spencer, John R., Team, the New Horizons Planetary Science Theme
We present flux measurements of Uranus observed at phase angles of 43.9{\deg}, 44.0{\deg}, and 52.4{\deg} by the Multispectral Visible Imaging Camera (MVIC) on the New Horizons spacecraft during 2023, 2010, and 2019, respectively. New Horizons imaged
Externí odkaz:
http://arxiv.org/abs/2411.04167
Autor:
Hasler, David, Koberstein, Jannis
We show the existence of infinite volume limits of resolvents and spectral measures for a class of Schroedinger operators with linearly bounded potentials. We then apply this result to Schroedinger operators with a Poisson distributed random potentia
Externí odkaz:
http://arxiv.org/abs/2409.06508
Autor:
Hasler, Stephan, Fischer, Lydia
Machine learning is more and more applied in critical application areas like health and driver assistance. To minimize the risk of wrong decisions, in such applications it is necessary to consider the certainty of a classification to reject uncertain
Externí odkaz:
http://arxiv.org/abs/2406.17346
Autor:
Gillon, Michaël, Pedersen, Peter P., Rackham, Benjamin V., Dransfield, Georgina, Ducrot, Elsa, Barkaoui, Khalid, Burdanov, Artem Y., Schroffenegger, Urs, Chew, Yilen Gómez Maqueo, Lederer, Susan M., Alonso, Roi, Burgasser, Adam J., Howell, Steve B., Narita, Norio, de Wit, Julien, Demory, Brice-Olivier, Queloz, Didier, Triaud, Amaury H. M. J., Delrez, Laetitia, Jehin, Emmanuël, Hooton, Matthew J., Garcia, Lionel J., Muñoz, Clàudia Jano, Murray, Catriona A., Pozuelos, Francisco J., Sebastian, Daniel, Timmermans, Mathilde, Thompson, Samantha J., Aceituno, Jesús, Aganze, Christian, Amado, Pedro J., Baycroft, Thomas, Benkhaldoun, Zouhair, Berardo, David, Bolmont, Emeline, Clark, Catherine A., Davis, Yasmin T., Davoudi, Fatemeh, de Beurs, Zoë L., de Leon, Jerome P., Ikoma, Masahiro, Ikuta, Kai, Isogai, Keisuke, Fukuda, Izuru, Fukui, Akihiko, Gerasimov, Roman, Ghachoui, Mourad, Günther, Maximilian N., Hasler, Samantha, Hayashi, Yuya, Heng, Kevin, Hu, Renyu, Kagetani, Taiki, Kawai, Yugo, Kawauchi, Kiyoe, Kitzmann, Daniel, Koll, Daniel D. B., Lendl, Monika, Livingston, John H., Lyu, Xintong, Valdés, Erik A. Meier, Mori, Mayuko, McCormac, James J., Murgas, Felipe, Niraula, Prajwal, Pallé, Enric, Plauchu-Frayn, Ilse, Rebolo, Rafael, Sabin, Laurence, Schackey, Yannick, Schanche, Nicole, Selsis, Franck, Sota, Alfredo, Stalport, Manu, Standing, Matthew R., Stassun, Keivan G., Tamura, Motohide, Theissen, Christopher A., Turbet, Martin, Van Grootel, Valérie, Varas, Roberto, Watanabe, Noriharu, Lang, Francis Zong
Located at the bottom of the main sequence, ultracool dwarf stars are widespread in the solar neighbourhood. Nevertheless, their extremely low luminosity has left their planetary population largely unexplored, and only one of them, TRAPPIST-1, has so
Externí odkaz:
http://arxiv.org/abs/2406.00794
Fine-tuning large language models (LLMs) for machine translation has shown improvements in overall translation quality. However, it is unclear what is the impact of fine-tuning on desirable LLM behaviors that are not present in neural machine transla
Externí odkaz:
http://arxiv.org/abs/2405.20089
Robotic planning systems model spatial relations in detail as these are needed for manipulation tasks. In contrast to this, other physical attributes of objects and the effect of devices are usually oversimplified and expressed by abstract compound a
Externí odkaz:
http://arxiv.org/abs/2405.03307
Recent research has shown that large language models (LLMs) can achieve remarkable translation performance through supervised fine-tuning (SFT) using only a small amount of parallel data. However, SFT simply instructs the model to imitate the referen
Externí odkaz:
http://arxiv.org/abs/2404.11288
Autor:
Tanneberg, Daniel, Ocker, Felix, Hasler, Stephan, Deigmoeller, Joerg, Belardinelli, Anna, Wang, Chao, Wersing, Heiko, Sendhoff, Bernhard, Gienger, Michael
How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understand
Externí odkaz:
http://arxiv.org/abs/2403.12533
Autor:
Wang, Chao, Hasler, Stephan, Tanneberg, Daniel, Ocker, Felix, Joublin, Frank, Ceravola, Antonello, Deigmoeller, Joerg, Gienger, Michael
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex designs for intent estimation, reasoning, and behavior generation, wh
Externí odkaz:
http://arxiv.org/abs/2401.15174
Neural metrics trained on human evaluations of MT tend to correlate well with human judgments, but their behavior is not fully understood. In this paper, we perform a controlled experiment and compare a baseline metric that has not been trained on hu
Externí odkaz:
http://arxiv.org/abs/2312.00536