Zobrazeno 1 - 10
of 5 807
pro vyhledávání: '"Venable, A."'
Forest loss due to natural events, such as wildfires, represents an increasing global challenge that demands advanced analytical methods for effective detection and mitigation. To this end, the integration of satellite imagery with deep learning (DL)
Externí odkaz:
http://arxiv.org/abs/2409.16380
Generative Large Language Models (LLMs) are capable of being in-context learners. However, the underlying mechanism of in-context learning (ICL) is still a major research question, and experimental research results about how models exploit ICL are no
Externí odkaz:
http://arxiv.org/abs/2409.04318
Autor:
Galliera, Raffaele, Möhlenhof, Thies, Amato, Alessandro, Duran, Daniel, Venable, Kristen Brent, Suri, Niranjan
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications. In contexts such as disaster response, swarm operations require coordinated behavior and mobility control to
Externí odkaz:
http://arxiv.org/abs/2404.01557
This paper considers the challenges Large Language Models (LLMs) face when reasoning over text that includes information involving uncertainty explicitly quantified via probability values. This type of reasoning is relevant to a variety of contexts r
Externí odkaz:
http://arxiv.org/abs/2402.09614
Autor:
Assafin, M., Santos-Filho, S., Morgado, B. E., Gomes-Júnior, A. R., Sicardy, B., Margoti, G., Benedetti-Rossi, G., Braga-Ribas, F., Laidler, T., Camargo, J. I. B., Vieira-Martins, R., Swift, T., Dunham, D., George, T., Bardecker, J., Anderson, C., Nolthenius, R., Bender, K., Viscome, G., Oesper, D., Dunford, R., Getrost, K., Kitting, C., Green, K., Bria, R., Olsen, A., Scheck, A., Billard, B., Wasiuta, M. E., Tatum, R., Maley, P., di Cicco, D., Gamble, D., Ceravolo, P., Ceravolo, D., Hanna, W., Smith, N., Carlson, N., Messner, S., Bean, J., Moore, J., Venable, R.
We report the results of the stellar occultation by (UII) Umbriel on September 21st, 2020. The shadow crossed the USA and Canada, and 19 positive chords were obtained. A limb parameter accounted for putative topographic features in the limb fittings.
Externí odkaz:
http://arxiv.org/abs/2310.11196
Autor:
Marciniak, A., Ďurech, J., Choukroun, A., Hanuš, J., Ogłoza, W., Szakáts, R., Molnár, L., Pál, A., Monteiro, F., Frappa, E., Beisker, W., Pavlov, H., Moore, J., Adomavičienė, R., Aikawa, R., Andersson, S., Antonini, P., Argentin, Y., Asai, A., Assoignon, P., Barton, J., Baruffetti, P., Bath, K. L., Behrend, R., Benedyktowicz, L., Bernasconi, L., Biguet, G., Billiani, M., Błażewicz, D., Boninsegna, R., Borkowski, M., Bosch, J., Brazill, S., Bronikowska, M., Bruno, A., Bąk, M. Butkiewicz, Caron, J., Casalnuovo, G., Castellani, J. J., Ceravolo, P., Conjat, M., Delincak, P., Delpau, J., Demeautis, C., Demirkol, A., Dróżdż, M., Duffard, R., Durandet, C., Eisfeldt, D., Evangelista, M., Fauvaud, S., Fauvaud, M., Ferrais, M., Filipek, M., Fini, P., Fukui, K., Gährken, B., Geier, S., George, T., Goffin, B., Golonka, J., Goto, T., Grice, J., Guhl, K., Halíř, K., Hanna, W., Harman, M., Hashimoto, A., Hasubick, W., Higgins, D., Higuchi, M., Hirose, T., Hirsch, R., Hofschulz, O., Horaguchi, T., Horbowicz, J., Ida, M., Ignácz, B., Ishida, M., Isobe, K., Jehin, E., Joachimczyk, B., Jones, A., Juan, J., Kamiński, K., Kamińska, M. K., Kankiewicz, P., Kasebe, H., Kattentidt, B., Kim, D. -H., Kim, M. -J., Kitazaki, K., Klotz, A., Komraus, M., Konstanciak, I., Tóth, R. Könyves, Kouno, K., Kowald, E., Krajewski, J., Krannich, G., Kreutzer, A., Kryszczyńska, A., Kubánek, J., Kudak, V., Kugel, F., Kukita, R., Kulczak, P., Lazzaro, D., Licandro, J., Livet, F., Maley, P., Manago, N., Mánek, J., Manna, A., Matsushita, H., Meister, S., Mesquita, W., Messner, S., Michelet, J., Michimani, J., Mieczkowska, I., Morales, N., Motyliński, M., Murawiecka, M., Newman, J., Nikitin, V., Nishimura, M., Oey, J., Oszkiewicz, D., Owada, M., Pakštienė, E., Pawłowski, M., Pereira, W., Perig, V., Perła, J., Pilcher, F., Podlewska-Gaca, E., Polák, J., Polakis, T., Polińska, M., Popowicz, A., Richard, F., Rives, J. J., Rodrigues, T., Rogiński, Ł., Rondón, E., Rottenborn, M., Schäfer, R., Schnabel, C., Schreurs, O., Selva, A., Simon, M., Skiff, B., Skrutskie, M., Skrzypek, J., Sobkowiak, K., Sonbas, E., Sposetti, S., Stuart, P., Szyszka, K., Terakubo, K., Thomas, W., Trela, P., Uchiyama, S., Urbanik, M., Vaudescal, G., Venable, R., Watanabe, Ha., Watanabe, Hi., Winiarski, M., Wróblewski, R., Yamamura, H., Yamashita, M., Yoshihara, H., Zawilski, M., Zelený, P., Żejmo, M., Żukowski, K., Żywica, S.
Publikováno v:
A&A 679, A60 (2023)
As evidenced by recent survey results, majority of asteroids are slow rotators (P>12 h), but lack spin and shape models due to selection bias. This bias is skewing our overall understanding of the spins, shapes, and sizes of asteroids, as well as of
Externí odkaz:
http://arxiv.org/abs/2310.08995
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks. This paper introduces a Multi-Agent Reinforcement Learning (MARL) approach as a signifi
Externí odkaz:
http://arxiv.org/abs/2308.16198
Autor:
Danielle Schubbe, Marie-Anne Durand, Rachel C. Forcino, Jaclyn Engel, Marisa Tomaino, Monica Adams-Foster, Carla Bacon, Carrie Cahill Mulligan, Sateria Venable, Tina Foster, Paul J. Barr, Raymond M. Anchan, Shannon Laughlin-Tommaso, Anne Lindholm, Maya Seshan, Rossella M. Gargiulo, Patricia Stephenson, Karen George, Mobolaji Ajao, Tessa Madden, Erika Banks, Antonio R. Gargiulo, James O’Malley, Maria van den Muijsenbergh, Johanna W. M. Aarts, Glyn Elwyn
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Fibroids are non-cancerous uterine growths that can cause symptoms impacting quality of life. The breadth of treatment options allows for patient-centered preference. While conversation aids are known to facilitate shared decision
Externí odkaz:
https://doaj.org/article/3b9e8949e55d44758bda8765e7af87e5
Autor:
Ganapini, Marianna B., Fabiano, Francesco, Horesh, Lior, Loreggia, Andrea, Mattei, Nicholas, Murugesan, Keerthiram, Pallagani, Vishal, Rossi, Francesca, Srivastava, Biplav, Venable, Brent
Nudging is a behavioral strategy aimed at influencing people's thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techniques can targeted at human fast and unconscious thinking, e.g., by usi
Externí odkaz:
http://arxiv.org/abs/2307.07628
In this paper, we evaluate the capability of transformer-based language models in making inferences over uncertain text that includes uncertain rules of reasoning. We cover both Pre-trained Language Models (PLMs) and generative Large Language Models
Externí odkaz:
http://arxiv.org/abs/2305.13179