Sebastian Pokutta
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About
Professor Sebastian Pokutta is a faculty member at Technische Universität Berlin, Germany. His research focuses on the development of improved algorithms and novel applications within the realm of Frank-Wolfe methods, particularly in convex mixed-integer optimization. Recent publications highlight advancements in convergence rates and the implementation of high-performance tools for optimization problems.
Recent Grants
Grant: Close
Quantum algorithms for optimization
Open Date: 2022-01-01
Close Date:
Grant: Close
Globally Optimal Neural Network Training
Open Date: 2021-01-01
Close Date:
Grant: Close
EAGER: SC2: PHY-Layer-Integrated Collaborative Learning in Spectrum Coordination
Open Date: 2017-03-15
Close Date: 2019-02-28
Grant: Close
CAREER: Semidefinite Programming (SDP) Extended Formulations
Open Date: 2015-04-01
Close Date: 2020-03-31
Grant: Close
EAGER: Physical Flow and other Industrial Challenges
Open Date: 2014-03-01
Close Date: 2017-02-28
Articles (9)
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2025
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2025
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2025
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2025
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2024
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2024
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2023
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2022
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2022
Collaborators (2)
Tamás Vértesi
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Cristóbal Guzmán
University of Twente
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