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TU Berlin

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Projects

On this page we present our running projects.

Running Projects
Since
Title
Researchers
Partner
2018
Learning Transition Manifolds and Effective Dynamics of Biomolecules
S. Klus, P. Koltai, G. Kutyniok, K.-R. Müller, C. Schütte
MATH+
2018
Quantifying Uncertainties in Explainable AI
G. Kutyniok, J. Ma, J. Macdonald, M. März, K.-R. Müller, W. Samek
MATH+ 
2018
Extracting Dynamical Laws by Deep Neural Networks: A Theoretical Perspective
Alex Gößmann, G. Kutyniok, F. Noé, B. Zwicknagl
MATH+
2018
Multimodales Compressed Sensing
M. Genzel, G. Kutyniok
BZML
2018
Multiscale sparsity models
J. Eisert, G. Kutyniok, Q. Luo, F. Noé, C. Schütte
Daedalus (GRK 2433)
2018
Finding multiscale structures in high-dimensional data
I. Gühring, G. Kutyniok, K.-R. Müller, C. Schütte
Daedalus (GRK 2433)
2018
Self-similar structures in turbulent flows and the construction of LES closures
R. Klein, G. Kutyniok, V. Vercauteren, J. von Lindheim
SFB 1114 "Scaling Cascades in Complex Systems"
2018
Coordination of the SPP 1798 "Compressed Sensing in Information Processing" (Phase II)
G. Kutyniok, M. März, R. Mathar
DFG - SPP 1798
2018
Compressive Sensing Algorithms for Structured Massive MIMO (Phase II)
G. Caire, G. Kutyniok, and G. Wunder
DFG - SPP 1798
2017
Robust recovery strategies for the acoustic inverse scattering problem in anisotropic systems
G. Kutyniok, S. Wäldchen, T. Fischer, H.-C. Hege
Bioqic (GRK 2260)
2017
Machine learning approaches for MR-fingerprinting  of cardiovascular flow
G. Kutyniok, J. Macdonald, T. Schäffter, J. Schulz-Menger
Bioqic (GRK 2260)
2016
C03: Shearlet approximation of brittle fracture evolutions
M. Fornasier, G. Kutyniok, P. Petersen, J. Ma
SFB/TR 109 "Diskretisierung in Geometrie und Dynamik"
2016
C02: Digital representations of data on manifolds
F. Krahmer, G. Kutyniok
SFB/TR 109 "Diskretisierung in Geometrie und Dynamik"
Completed Projects
Period
Title
Researchers
Partner
2015-2018
Coordination of the SPP 1798 "Compressed Sensing in Information Processing" 
G. Kutyniok, N.N., and R. Mathar
DFG - SPP 1798
2015-2018
Compressive Sensing Algorithms for Structured Massive MIMO
(Matheon: B-AP19)
G. Caire, A. Flinth, G. Kutyniok, and G. Wunder
DFG - SPP 1798
2015-2018
Data Learning on Manifolds and Future Challenges
(Matheon: F-AP13)
G. Kutyniok at TUB and CEA, FORTH, UCL, SAGEM
FET - European Commission
2014- 2017
Discrete-Valued Sparse Signals — Theory, Algorithms, and Applications
(Matheon: B-AP18)
R. Fischer, A. Flinth, S. Keiper, G. Kutyniok, G. Pfander
DFG
2014- 2017
CH2: Sparse Compressed Sensing based Classifiers for -omics data
T. Conrad, M. Genzel, G. Kutyniok, C.Schütte, J. Vybiral
Einstein Center for Mathematics in Berlin (ECMath)
2012
Tractable recovery of multivariate functions from limited number of samples
J. Vybiral, A. Kolleck
Matheon
2014
Analysis and applications of subspace arrangements
B. Bodmann, G. Kutyniok
Humboldt Foundation
2013-
2016
A10: Riemannian Manifold Learning via Shearlet Approximation
S. Keiper, G. Kutyniok, P. Petersen
SFB/TR 109 "Diskretisierung in Geometrie und Dynamik"
2013 - 2014
Shearlet Spaces
G. Kutyniok, V. Paternostro
Humboldt-Foundation
2013 - 2014
Extension of A10: Shearlet Discretization and Imaging Science on Manifolds
(Matheon: F-AP3)
G. Kutyniok, W.-Q Lim
SFB/TR 109 "Diskretisierung in Geometrie und Dynamik"
2009 - 2014
Geometric Multiscale Analysis
G. Kutyniok, X. Zhuang
DFG KU 1446/14
2012 - 2013
Information Extracting Sensor Networks
M. Guillemard, G. Kutyniok, F. Philipp
Matheon
2011 - 2013
Analysis of Inpainting via Compressed Sensing
E. King, G. Kutyniok
Humboldt-Foundation
2011 - 2013
Rescalable Frames
G. Kutyniok, K. Okoudjou
Humboldt-Foundation
2008 - 2013
Adaptive Anisotropic Discretization Concepts
W. Dahmen, G. Kutyniok, W.-Q Lim, G. Welper, C. Schwab
DFG KU 1446/13
SPP 1324
2011
Advanced imaging techniques: Image processing
G. Kutyniok
SFB-944, Z-Projekt
(beendet wegen Wechsel an TU Berlin)

 

 

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