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TU Berlin

Inhalt des Dokuments

Vorträge im Oberseminar

Oberseminar Angewandte Funktionalanalysis
Verantwortliche Dozenten:
Prof. Dr. Gitta Kutyniok
Termine:
Do 14:00 s.t. -16:00 im MA 579
Inhalt:
Vorträge von Bachelor- und Master-Studierenden, Doktoranden, Postdocs und Gästen zu aktuellen Forschungsthemen
Wintersemester 2018/2019
Datum
Vortragender
Titel
25.10.2018
Johannes von Lindheim, Ingo Gühring
Intrinsic Dimension Estimation Using Importance Sampled Gaussians / Learning derivatives with deep ReLU neural networks: A trade-off between regularity and complexity
01.11.2018
Qiao Luo, Moritz Geist, Cosmas Heiß
Optimal Approximation of Neural Networks and Non-affine Systems / Machine Learning in Quantum Chemistry: Solving the Electronic Schrödinger Equation / Frequency Domain Representation of Convolutional Neural Networks
08.11.2018
Maximilian März
Deep Learning and Inverse Problems
06.12.2018
Stephan Wäldchen
Relevance Maps Part 1: Introduction and Complexity
13.12.2018
Mark Cheng, Sascha Hauch
Low Rank Model for Analyzing Infant's Sleep /
Relevance Maps Part 2: The Inapproximability of Relevance Maps
20.12.2018
Jan Macdonald
Probabilistic Approaches to Neural Networks: Uncertainties and Relevance
10.01.2019
Ron Levie
CayleyNets and transferability in spectral graph convolutional neural networks
17.01.2019
Tiep Dovan
Analysis of Inpainting via Clustered Sparsity
31.01.2019
Ali Hashemi, Alexander Stollenwerk
Spatiotemporal Bayesian Brain Source Imaging: A Hierarchical Multiscale Bayesian Framework with Decoupling Properties / Fast binary embeddings with Gaussian circulant matrices
07.02.2019
Hector Andrade Loarca, Mones Raslan
Learned wavefront set extractor for inverse problem regularization / Approximation of solutions of parametric PDEs by neural networks
14.02.2019
Martin Genzel
The Mismatch Principle and Its Applications to 1-Bit Compressed Sensing

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