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Sepp Hochreiter information


Sepp Hochreiter
Hochreiter in 2012
Born (1967-02-14) 14 February 1967 (age 57)
Mühldorf, West Germany
NationalityGerman
Alma materTechnische Universität München
Scientific career
FieldsMachine learning, bioinformatics
InstitutionsJohannes Kepler University Linz
ThesisGeneralisierung bei neuronalen Netzen geringer Komplexität (1999)
Doctoral advisorWilfried Brauer

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).[1] Previously, he was at the Technical University of Berlin, at University of Colorado Boulder, and at the Technical University of Munich. He is a chair of the Critical Assessment of Massive Data Analysis (CAMDA) conference.[2]

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,[3][4] but also in meta-learning,[5] reinforcement learning[6][7] and biclustering with application to bioinformatics data.

  1. ^ "IARAI – INSTITUTE OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE". www.iarai.ac.at. Retrieved 2021-02-13.
  2. ^ "CAMDA 2021". 20th International Conference on Critical Assessment of Massive Data Analysis. Retrieved 2021-02-13.
  3. ^ Cite error: The named reference thesis was invoked but never defined (see the help page).
  4. ^ Cite error: The named reference Neco was invoked but never defined (see the help page).
  5. ^ Hochreiter, S.; Younger, A. S.; Conwell, P. R. (2001). "Learning to Learn Using Gradient Descent". Artificial Neural Networks — ICANN 2001 (PDF). Lecture Notes in Computer Science. Vol. 2130. pp. 87–94. CiteSeerX 10.1.1.5.323. doi:10.1007/3-540-44668-0_13. ISBN 978-3-540-42486-4. ISSN 0302-9743. S2CID 52872549.
  6. ^ Hochreiter, S. (1991). Implementierung und Anwendung eines neuronalen Echtzeit-Lernalgorithmus für reaktive Umgebungen (PDF) (Report). Technical University Munich, Institute of Computer Science.
  7. ^ Arjona-Medina, J. A.; Gillhofer, M.; Widrich, M.; Unterthiner, T.; Hochreiter, S. (2018). "RUDDER: Return Decomposition for Delayed Rewards". arXiv:1806.07857 [cs.LG].

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Sepp Hochreiter

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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...

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short-term memory (LSTM), a recurrent neural network published by Sepp Hochreiter & Jürgen Schmidhuber in 1997. LSTM RNNs avoid the vanishing gradient...

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Florida Ken Goldberg, Professor, University of California, Berkeley Sepp Hochreiter, Head of the Institute for Machine Learning, Kepler U. Linz Hatem Ltaief...

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mutually correlated signals, thus, statistically "dependent" signals. Sepp Hochreiter and Jürgen Schmidhuber showed how to obtain non-linear ICA or source...

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networks". Machine Learning. 20 (3): 273–297. doi:10.1007/BF00994018. Hochreiter, Sepp; Schmidhuber, Jürgen (1 November 1997). "Long Short-Term Memory". Neural...

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(1933-2018), German organist, conductor, music educator and musicologist Sepp Hochreiter (born 1967), German computer scientist All pages with titles containing...

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Ross Quinlan Salvatore J. Stolfo Sebastian Thrun Selmer Bringsjord Sepp Hochreiter Shane Legg Stephen Muggleton Steve Omohundro Tom M. Mitchell Trevor...

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Biclustering

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PMC 430175. PMID 12671006. Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen (2016), Applied Biclustering Methods for Big and High-Dimensional...

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generator is grown from small to large scale in a pyramidal fashion. Sepp Hochreiter's diploma thesis (1991) was called "one of the most important documents...

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Activation function

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Intelligence and Statistics. Clevert, Djork-Arné; Unterthiner, Thomas; Hochreiter, Sepp (2015-11-23). "Fast and Accurate Deep Network Learning by Exponential...

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Recurrent neural network

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assignment across the equivalent of 1,200 layers in an unfolded RNN. Hochreiter, Sepp; Schmidhuber, Jürgen (1997-11-01). "Long Short-Term Memory". Neural...

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Wilfried Brauer

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Technical University of Munich Thesis Zur Theorie der pro-endlichen Gruppen (1966) Doctoral advisor Wolfgang Krull Doctoral students Sepp Hochreiter...

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the widely used long short-term memory neural network developed by Sepp Hochreiter and Jürgen Schmidhuber in 1997. In May 2018 scientists from IBM Research...

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