πSemi-dual Regularized Optimal Transport.
πPDF
#arXiv
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πPDF
#arXiv
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πDeep Q learning for fooling neural networks.
πPDF
#arXiv
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πPDF
#arXiv
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πCommunication-Optimal Distributed Dynamic Graph Clustering.
πPDF
#arXiv
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πPDF
#arXiv
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Ph.D. position in deep learning for signal processing at University of Oldenburg
The Computational Audition Group at the Department of Medical Physics and
Acoustics, University of Oldenburg, Germany, seeks a highly motivated
PhD student
(75 % of full time, TV-L E13, 3 years, with possibility of extension)
in the field of Deep Learning for Signal Processing
Our group investigates audio signal recognition with multi-channel microphone
arrays, identifying important sound sources in real-world acoustic scenes, and
performing source separation to enhance e.g. an attended speech signal.
Applicants for the position must hold an academic university degree (master or
equivalent) in physics, engineering, computer science or a related discipline
and should have knowledge in at least one of the following fields:
- machine learning,
- speech recognition,
- acoustic event detection,
- speech and audio processing.
Excellent knowledge of scientific programming languages such as Python or
MATLAB, as well as excellent English language skills are required.
The position is funded by the newly established DFG collaborative research
centre CRC 1330 "Hearing Acoustics", which aims at improving human communication
in real-world acoustic scenes and is a long-term collaboration of researchers
from Oldenburg, Aachen and Munich. For more information about the CRC see
https://www.uni-oldenburg.de/sfb1330.
The Computational Audition Group is part of the Department of Medical Physics
and Acoustics at University of Oldenburg. We offer an international scientific
environment and world-class research facilities. For more information about the
group and the department see https://uol.de/computational-audition/ and
https://uol.de.de/en/mediphysics-acoustics/.
The University of Oldenburg is dedicated to increase the percentage of women in
science. Therefore, female candidates are strongly encouraged to apply. In
accordance to Β§ 21 Section 3 NHG, female candidates with equal qualifications
will be preferentially considered. Applicants with disabilities will be given
preference in case of equal qualification.
Applications including a CV, a motivation letter, copies of relevant
certificates and the name and contact details of two references should be sent
as single pdf-file to joern.anemueller@uni-oldenburg.de or to
Dr. JΓΆrn AnemΓΌller
Faculty VI
Department of Medical Physics and Acoustics
UniversitΓ€t Oldenburg
D - 26111 Oldenburg
Tel. (+49) 441 798 3610
The application deadline is 28th of November 2018.
π£ @AI_Python_arXiv
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
The Computational Audition Group at the Department of Medical Physics and
Acoustics, University of Oldenburg, Germany, seeks a highly motivated
PhD student
(75 % of full time, TV-L E13, 3 years, with possibility of extension)
in the field of Deep Learning for Signal Processing
Our group investigates audio signal recognition with multi-channel microphone
arrays, identifying important sound sources in real-world acoustic scenes, and
performing source separation to enhance e.g. an attended speech signal.
Applicants for the position must hold an academic university degree (master or
equivalent) in physics, engineering, computer science or a related discipline
and should have knowledge in at least one of the following fields:
- machine learning,
- speech recognition,
- acoustic event detection,
- speech and audio processing.
Excellent knowledge of scientific programming languages such as Python or
MATLAB, as well as excellent English language skills are required.
The position is funded by the newly established DFG collaborative research
centre CRC 1330 "Hearing Acoustics", which aims at improving human communication
in real-world acoustic scenes and is a long-term collaboration of researchers
from Oldenburg, Aachen and Munich. For more information about the CRC see
https://www.uni-oldenburg.de/sfb1330.
The Computational Audition Group is part of the Department of Medical Physics
and Acoustics at University of Oldenburg. We offer an international scientific
environment and world-class research facilities. For more information about the
group and the department see https://uol.de/computational-audition/ and
https://uol.de.de/en/mediphysics-acoustics/.
The University of Oldenburg is dedicated to increase the percentage of women in
science. Therefore, female candidates are strongly encouraged to apply. In
accordance to Β§ 21 Section 3 NHG, female candidates with equal qualifications
will be preferentially considered. Applicants with disabilities will be given
preference in case of equal qualification.
Applications including a CV, a motivation letter, copies of relevant
certificates and the name and contact details of two references should be sent
as single pdf-file to joern.anemueller@uni-oldenburg.de or to
Dr. JΓΆrn AnemΓΌller
Faculty VI
Department of Medical Physics and Acoustics
UniversitΓ€t Oldenburg
D - 26111 Oldenburg
Tel. (+49) 441 798 3610
The application deadline is 28th of November 2018.
π£ @AI_Python_arXiv
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
πUnsupervised learning with contrastive latent variable models.
πPDF
#arXiv
π£ @AI_Python_arXiv
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βοΈ @AI_Python
πPDF
#arXiv
π£ @AI_Python_arXiv
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πImage declipping with deep networks.
πPDF
#arXiv
π£ @AI_Python_arXiv
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πPDF
#arXiv
π£ @AI_Python_arXiv
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πWoulda, Coulda, Shoulda: Counterfactually-Guided Policy Search.
πPDF
#arXiv
π£ @AI_Python_arXiv
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πPDF
#arXiv
π£ @AI_Python_arXiv
β΄οΈ @AI_Python_EN
βοΈ @AI_Python