Sepp Hochreiter
http://dbpedia.org/resource/Sepp_Hochreiter an entity of type: Thing
Josef „Sepp“ Hochreiter (* 14. Februar 1967 in Mühldorf am Inn, Bayern) ist ein deutscher Informatiker. Seit 2006 ist er Vorstand des Instituts für Bioinformatik an der Universität Linz, an dem er seit 2017 auch das Labor für Artificial Intelligence (AI LAB) am Linz Institute of Technology (LIT) leitet.
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Josef "Sepp" Hochreiter (born 14 February 1967) is a German computer scientist. Since 2018 he has led the Institute for Machine Learning at the Johannes Kepler University of Linz after having led the Institute of Bioinformatics from 2006 to 2018. In 2017 he became the head of the Linz Institute of Technology (LIT) AI Lab. Hochreiter is also a founding director of the Institute of Advanced Research in Artificial Intelligence (IARAI). Previously, he was at the Technical University of Berlin, at the University of Colorado at Boulder, and at the Technical University of Munich. He is a chair of the Critical Assessment of Massive Data Analysis (CAMDA) conference.
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Sepp Hochreiter
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Sepp Hochreiter
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Sepp Hochreiter
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Sepp Hochreiter
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1967-02-14
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32168948
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1119685440
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Generalisierung bei neuronalen Netzen geringer Komplexität
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1999
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1967-02-14
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Hochreiter in 2012
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Josef „Sepp“ Hochreiter (* 14. Februar 1967 in Mühldorf am Inn, Bayern) ist ein deutscher Informatiker. Seit 2006 ist er Vorstand des Instituts für Bioinformatik an der Universität Linz, an dem er seit 2017 auch das Labor für Artificial Intelligence (AI LAB) am Linz Institute of Technology (LIT) leitet.
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Josef "Sepp" Hochreiter (born 14 February 1967) is a German computer scientist. Since 2018 he has led the Institute for Machine Learning at the Johannes Kepler University of Linz after having led the Institute of Bioinformatics from 2006 to 2018. In 2017 he became the head of the Linz Institute of Technology (LIT) AI Lab. Hochreiter is also a founding director of the Institute of Advanced Research in Artificial Intelligence (IARAI). Previously, he was at the Technical University of Berlin, at the University of Colorado at Boulder, and at the Technical University of Munich. He is a chair of the Critical Assessment of Massive Data Analysis (CAMDA) conference. Hochreiter has made contributions in the fields of machine learning, deep learning and bioinformatics, most notably the development of the long short-term memory (LSTM) neural network architecture, but also in meta-learning, reinforcement learning and biclustering with application to bioinformatics data.
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15663