Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Riechert, Maik"'
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan, Dong, Haiyu, Vaughan, Anna, Gupta, Jayesh K., Tambiratnam, Kit, Archibald, Alex, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Deep learning foundation models are revolutionizing many facets of science by leveraging vast amounts of data to learn general-purpose representations that can be adapted to tackle diverse downstream tasks. Foundation models hold the promise to also
Externí odkaz:
http://arxiv.org/abs/2405.13063
Autor:
Svyatkovskiy, Alexey, Lee, Sebastian, Hadjitofi, Anna, Riechert, Maik, Franco, Juliana, Allamanis, Miltiadis
Publikováno v:
Published at Mining Software Repositories 2021
Code completion is one of the most widely used features of modern integrated development environments (IDEs). While deep learning has made significant progress in the statistical prediction of source code, state-of-the-art neural network models consu
Externí odkaz:
http://arxiv.org/abs/2004.13651
Autor:
DELIGNAT-LAVAUD, ANTOINE, FOURNET, CÉDRIC, VASWANI, KAPIL, CLEBSCH, SYLVAN, RIECHERT, MAIK, COSTA, MANUEL, RUSSINOVICH, MARK
Publikováno v:
Communications of the ACM; Jan2024, Vol. 67 Issue 1, p68-78, 9p
Autor:
Gaunt, Alexander L., Johnson, Matthew A., Riechert, Maik, Tarlow, Daniel, Tomioka, Ryota, Vytiniotis, Dimitrios, Webster, Sam
New types of machine learning hardware in development and entering the market hold the promise of revolutionizing deep learning in a manner as profound as GPUs. However, existing software frameworks and training algorithms for deep learning have yet
Externí odkaz:
http://arxiv.org/abs/1705.09786
Publikováno v:
In Theoretical Computer Science 1 August 2016 639:91-109
Autor:
DELIGNAT-LAVAUD, ANTOINE, FOURNET, CÉDRIC, VASWANI, KAPIL, CLEBSCH, SYLVAN, RIECHERT, MAIK, COSTA, MANUEL, RUSSINOVICH, MARK
Publikováno v:
ACM Queue; Jul/Aug2023, Vol. 21 Issue 4, p94-122, 29p
Autor:
Riechert, Maik1,2, Walsh, Andrew P.3 Andrew.Walsh@esa.int, Gerst, Alexander4, Taylor, Matthew G. G. T.1
Publikováno v:
Geoscientific Instrumentation, Methods & Data Systems (GI). 2016, Vol. 5 Issue 2, p289-304. 16p.
Autor:
Blower, Jon, Riechert, Maik
Publikováno v:
Workshop on Spatial Data on the Web (SDW 2016)
Many kinds of scientific data, including satellite imagery, climate simulations and sensor data, can be represented as coverages, which are essentially mappings from points in space and time to data values. Coverage data are typically encoded as mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6511d897f42439806302e2ee3e37b255
https://centaur.reading.ac.uk/74395/1/paper2.pdf
https://centaur.reading.ac.uk/74395/1/paper2.pdf
Autor:
Ahmed, Zara, Benque, David, Berezin, Sergey, Dahl, Anna Caroline E., Fisher, Jasmin, Hall, Benjamin A., Ishtiaq, Samin, Nanavati, Jay, Piterman, Nir, Riechert, Maik, Skoblov, Nikita
Publikováno v:
Verification, Model Checking & Abstract Interpretation: 18th International Conference, VMCAI 2017, Paris, France, January 15-17, 2017, Proceedings; 2017, p1-13, 13p