Deep Learning in Attosecond Metrology (bibtex)
by C. Brunner, A. Duensing, C. Schröder, M. Mittermair, V. Golkov, M. Pollanka, D. Cremers and R. Kienberger
Reference:
Deep Learning in Attosecond Metrology (C. Brunner, A. Duensing, C. Schröder, M. Mittermair, V. Golkov, M. Pollanka, D. Cremers and R. Kienberger), In Optics Express, OSA, volume 30, 2022. 
Bibtex Entry:
@article{Brunner2022,
 author = {C. Brunner and A. Duensing and C. Schröder and M. Mittermair and V. Golkov and M. Pollanka and D. Cremers and R. Kienberger},
 title = {Deep Learning in Attosecond Metrology},
 journal = {Optics Express},
 year = {2022},
 keywords = {attosecond metrology, photoelectron spectroscopy, deep learning, physics, attosecond streak camera, streaking, Neural networks; Phase retrieval; Photoelectron spectra; Power spectra; Streak cameras; Time resolved spectroscopy},
 volume = {30},
 number = {9},
 pages = {15669--15684},
 publisher = {OSA},
 url = {https://opg.optica.org/OE/abstract.cfm?uri=OE-30-9-15669},
 doi = {10.1364/OE.452108},
 award = {Editor's Pick},
}
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Deep Learning in Attosecond Metrology (bibtex)
Deep Learning in Attosecond Metrology (bibtex)
by C. Brunner, A. Duensing, C. Schröder, M. Mittermair, V. Golkov, M. Pollanka, D. Cremers and R. Kienberger
Reference:
Deep Learning in Attosecond Metrology (C. Brunner, A. Duensing, C. Schröder, M. Mittermair, V. Golkov, M. Pollanka, D. Cremers and R. Kienberger), In Optics Express, OSA, volume 30, 2022. 
Bibtex Entry:
@article{Brunner2022,
 author = {C. Brunner and A. Duensing and C. Schröder and M. Mittermair and V. Golkov and M. Pollanka and D. Cremers and R. Kienberger},
 title = {Deep Learning in Attosecond Metrology},
 journal = {Optics Express},
 year = {2022},
 keywords = {attosecond metrology, photoelectron spectroscopy, deep learning, physics, attosecond streak camera, streaking, Neural networks; Phase retrieval; Photoelectron spectra; Power spectra; Streak cameras; Time resolved spectroscopy},
 volume = {30},
 number = {9},
 pages = {15669--15684},
 publisher = {OSA},
 url = {https://opg.optica.org/OE/abstract.cfm?uri=OE-30-9-15669},
 doi = {10.1364/OE.452108},
 award = {Editor's Pick},
}
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members:golkov

Dr. Vladimir Golkov

Postdoctoral ResearcherTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: vladimir.golkov@tum.de

Students who did projects under my supervision went on to become PhD students of Prof. Cremers, Prof. Navab, Prof. Rost, Prof. Nießner, Prof. Haddadin, Prof. Precup, Prof. Razansky, Prof. Ntziachristos (with Prof. van der Smagt), Prof. Griffin & Prof. Kleinberg, Prof. Van Gool, Prof. Schindler, Prof. Liò, Prof. Theis, and others.

Quick links: C++, Matlab (without password), Python, NumPy, best coding practices, software craftsmanship, student projects, mathematical image processing (free access through TUM), proximal algorithms, biology, literature network 1 2, research and scientific writing 1 2 3, thesis guide, soft skills manual for students, TUM Career Guide for International Students, TUM Career Manual, PhD scholarships 1 2 3 4 etc., conferences, Ten Simple Rules series

Grant support: Deutsche Telekom Foundation