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Winter Term 2015/16

Group Seminar
Group Leader:
Prof. Dr. Gitta Kutyniok [1]
Organizer:
Dr. Friedrich Philipp
Dates:
Th 14:00-16:00 in MA 579
Content:
Talks by graduate students, PhD students, post-docs, and sometimes also visitors on current research topics 
Summer Term 2015
Date
Speaker
Title
22.10.2015
Philipp Petersen
Approximation of Functions with Cartoon-like Derivatives [2]
29.10.2015
Mones Raslan
Adaptive Frame Methods for Elliptic Operator Equations [3]
05.11.2015
Dr. Friedrich Philipp
Phase Retrieval From 4d-4 Generic Measurements [4]
12.11.2015
Jackie Ma
Stable reconstructions for the analysis formulation of l^p-minimization using redundant systems [5]
19.11.2015
Martin Schäfer
Image Approximation with Alpha-Molecules [6]
26.11.2015
Axel Flinth
PROMP - PRe-projected Orthogonal Matching Pursuit [7]
Jennifer Rasch
(Heinrich Hertz Institut [8])
An Introduction to Video Coding and Intra Prediction Using PDEs [9]
17.12.2015
Michaela Voigt (Library of TU Berlin)
Introduction to Open Access
Martin Genzel
Sparse Proteomics Analysis: Toward a Mathematical Theory for Feature Selection from Forward Models [10]
07.01.2016
Sandra Keiper
Null Space Property in Binary Compressed Sensing [11]
Anton Kolleck
Gelfand numbers, their connection to Compressed Sensing and Carl's Inequality [12]
21.01.2016
Prof. Philipp Grohs [13] (ETH Zürich)
Deformation bounds for deep convolutional neural networks
27.01.2016
Dr. Dae Gwan Lee [14]
(Jacobs University Bremen [15])
Optimal construction of superoscillations [16]
28.01.2016
Maximilian Leitheiser
GMRA: A tool for Dictionary Learning and Compressed Sensing on manifolds [17]
Dr. Mijail Guillemard
The box lemma in persistent homology for data analysis [18]
04.02.2016
Dr. Clarice Poon [19] (Dauphine University Paris [20])
Geometric properties of solutions to the total variation denoising problem [21]
Niklas Menzel
Compressed Sensing in Electronic Structure Calculation [22]
11.02.2016
Ali Hashemi
Compressive Sensing of PDE-Constrained Signals [23]
Maximilian März
RIPless “block-based“ Compressed Sensing with Analysis Prior and Applications to Magnetic Resonance Imaging [24]
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