Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Kreil, David P."'
Autor:
Neun, Moritz, Eichenberger, Christian, Martin, Henry, Spanring, Markus, Siripurapu, Rahul, Springer, Daniel, Deng, Leyan, Wu, Chenwang, Lian, Defu, Zhou, Min, Lumiste, Martin, Ilie, Andrei, Wu, Xinhua, Lyu, Cheng, Lu, Qing-Long, Mahajan, Vishal, Lu, Yichao, Li, Jiezhang, Li, Junjun, Gong, Yue-Jiao, Grötschla, Florian, Mathys, Joël, Wei, Ye, Haitao, He, Fang, Hui, Malm, Kevin, Tang, Fei, Kopp, Michael, Kreil, David, Hochreiter, Sepp
The global trends of urbanization and increased personal mobility force us to rethink the way we live and use urban space. The Traffic4cast competition series tackles this problem in a data-driven way, advancing the latest methods in machine learning
Externí odkaz:
http://arxiv.org/abs/2303.07758
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022
This study introduces \textit{Landslide4Sense}, a reference benchmark for landslide detection from remote sensing. The repository features 3,799 image patches fusing optical layers from Sentinel-2 sensors with the digital elevation model and slope la
Externí odkaz:
http://arxiv.org/abs/2206.00515
Autor:
Eichenberger, Christian, Neun, Moritz, Martin, Henry, Herruzo, Pedro, Spanring, Markus, Lu, Yichao, Choi, Sungbin, Konyakhin, Vsevolod, Lukashina, Nina, Shpilman, Aleksei, Wiedemann, Nina, Raubal, Martin, Wang, Bo, Vu, Hai L., Mohajerpoor, Reza, Cai, Chen, Kim, Inhi, Hermes, Luca, Melnik, Andrew, Velioglu, Riza, Vieth, Markus, Schilling, Malte, Bojesomo, Alabi, Marzouqi, Hasan Al, Liatsis, Panos, Santokhi, Jay, Hillier, Dylan, Yang, Yiming, Sarwar, Joned, Jordan, Anna, Hewage, Emil, Jonietz, David, Tang, Fei, Gruca, Aleksandra, Kopp, Michael, Kreil, David, Hochreiter, Sepp
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggregated GPS probe data in time and space bins. We thus reinterpreted the c
Externí odkaz:
http://arxiv.org/abs/2203.17070
Autor:
Fürst, Andreas, Rumetshofer, Elisabeth, Lehner, Johannes, Tran, Viet, Tang, Fei, Ramsauer, Hubert, Kreil, David, Kopp, Michael, Klambauer, Günter, Bitto-Nemling, Angela, Hochreiter, Sepp
CLIP yielded impressive results on zero-shot transfer learning tasks and is considered as a foundation model like BERT or GPT3. CLIP vision models that have a rich representation are pre-trained using the InfoNCE objective and natural language superv
Externí odkaz:
http://arxiv.org/abs/2110.11316
Autor:
Adler, Thomas, Brandstetter, Johannes, Widrich, Michael, Mayr, Andreas, Kreil, David, Kopp, Michael, Klambauer, Günter, Hochreiter, Sepp
In order to quickly adapt to new data, few-shot learning aims at learning from few examples, often by using already acquired knowledge. The new data often differs from the previously seen data due to a domain shift, that is, a change of the input-tar
Externí odkaz:
http://arxiv.org/abs/2010.06498
Autor:
Ramsauer, Hubert, Schäfl, Bernhard, Lehner, Johannes, Seidl, Philipp, Widrich, Michael, Adler, Thomas, Gruber, Lukas, Holzleitner, Markus, Pavlović, Milena, Sandve, Geir Kjetil, Greiff, Victor, Kreil, David, Kopp, Michael, Klambauer, Günter, Brandstetter, Johannes, Hochreiter, Sepp
We introduce a modern Hopfield network with continuous states and a corresponding update rule. The new Hopfield network can store exponentially (with the dimension of the associative space) many patterns, retrieves the pattern with one update, and ha
Externí odkaz:
http://arxiv.org/abs/2008.02217
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Munro, Sarah A., Lund, Steve P., Pine, P. Scott, Binder, Hans, Clevert, Djork-Arné, Conesa, Ana, Dopazo, Joaquin, Fasold, Mario, Hochreiter, Sepp, Hong, Huixiao, Jafari, Nederah, Kreil, David P., Łabaj, Paweł P., Li, Sheng, Liao, Yang, Lin, Simon, Meehan, Joseph, Mason, Christopher E., Santoyo, Javier, Setterquist, Robert A., Shi, Leming, Shi, Wei, Smyth, Gordon K., Stralis-Pavese, Nancy, Su, Zhenqiang, Tong, Weida, Wang, Charles, Wang, Jian, Xu, Joshua, Ye, Zhan, Yang, Yong, Yu, Ying, Salit, Marc
Publikováno v:
Nat. Commun. (2014) 5:5125
There is a critical need for standard approaches to assess, report, and compare the technical performance of genome-scale differential gene expression experiments. We assess technical performance with a proposed "standard" dashboard of metrics derive
Externí odkaz:
http://arxiv.org/abs/1406.4893
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.