Detail page

Knowledge Web

Person

Peter Maaß (1959-)

Mathematiker

Name	Peter Maaß
Time	1959- (Date of birth and death)
Place	Deutschland
Gender	männlich
Academic degree	Prof. Dr.
Profession	Mathematiker (characteristic profession)
Variant	P. Maaß Peter Maass
Related	Zentrum für Technomathematik (Bremen) (Direktor) (1999-) Universität Potsdam. Institut für Mathematik (1993-1999) Universität des Saarlandes (1991-1993) Tufts University (1990-1991) Technische Universität Berlin. Fakultät Mathematik und Naturwissenschaften (1987-1990) Universität Heidelberg (1982-1985) Pembroke College (Cambridge) (1981-1982) Karlsruher Institut für Technologie (1979-1981) Mathematik (Studienfach)
Record type	Person
GND-Identifier	120229595
Record ID	120229595
Involved in show all Towards transparent computer vision for deep learning in natural and histopathology imaging Abweichungen in der Adjungierten im Kontext von primal-dualen Algorithmen Regularization theory for special neural network architectures applied on inverse problems 3D image analysis and microstructure models for simulation of materials properties : 3D Bildanalyse und Mikrostrukturmodellierung für Simulationen von Materialeigenschaften Equivariant deep learning for 3D topology optimization Evolutionary neural architecture search for the task of road traffic prediction. Invertible neural networks and normalizing flows for image reconstruction PatchNR: learning from very few images by patch normalizing flow regularization Unsupervised deep machine learning methods to discriminate icequakes in seismological data from Neumayer Station, Antarctica Deep learning for computed tomography reconstruction - learned methods, deep image prior and uncertainty estimation On the Interplay between Deep Learning, Partial Differential Equations and Inverse Problems Tikhonov functionals incorporating tolerances in discrepancy term for inverse problems Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond Nonnegative matrix factorization - theory, algorithms and applications : Nichtnegative Matrixfaktorisierung - Theorie, Algorithmen und Anwendungen Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset Regularization of ill-posed inverse problems with tolerances and sparsity in the parameter space Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging : Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging Regularization by Architecture: A Deep Prior Approach for Inverse Problems Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer Deep learning and inverse problems Principles of Neural Network Architecture Design - Invertibility and Domain Knowledge 3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury A Survey on Surrogate Approaches to Non-negative Matrix Factorization Tikhonov Functionals Incorporating Tolerances Reports about 8 selected benchmark cases of model hierarchies : Deliverable number: D5.1 - Version 0.1 Model uncertainty in magnetic particle imaging: Nonlinear problem formulation and model-based sparse reconstruction Improved Image Reconstruction in Magnetic Particle Imaging using Structural a priori Information Atmospheric inverse modeling via sparse reconstruction An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry Prediction of temperature induced shape deviations in dry milling Semismooth Newton and quasi-Newton methods in weighted ℓ 1 -regularization An adaptive wavelet solver for a nonlinear parameter identification problem for a parabolic differential equation with sparsity constraints On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data Function spaces and optimal currents in impedance tomography An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection Wavelet-accelerated Tikhonov-Phillips regularization with applications Wavelet-Galerkin methods for ill-posed problems Equivalence of a generalized conditional gradient method and the method of surrogate functionals Reconstruction of Wideband Reflectivity Densities by Wavelet Transforms Mathematical concepts of multiscale smoothing Mathematical methods for forecasting bank transaction data Mathematical methods for forecasting bank transaction data Interpolating scaling functions with duals A note on interpolating scaling functions A new approach to interpolating scaling functions An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection Wavelets : Theorie und Anwendungen Interpolating refinable functions and wavelets for general scaling matrices Wavelet Galerkin methods for ill-posed problems Continous wavelet transform on tangent bundles of spheres Wavelets : Theorie und Anwendungen The affine uncertainty principle in one and two dimensions Die Singulärwertzerlegung der Röntgentransformation und ihre Anwendungen in der Computertomographie Arbeitsmarktentwicklung in den Regionen mittlerer Neckar und Hamburg Fractional multistep methods for the nonlinear Basset equation

Please note

The beta version does not yet contain all functions and information of the DNB portal catalogue. If you are missing information or want to order a medium, please visit the page in the DNB portal catalogue via the following link:

Katalog der Deutschen Nationalbibliothek

Peter Maaß (1959-)

Towards transparent computer vision for deep learning in natural and histopathology imaging

Abweichungen in der Adjungierten im Kontext von primal-dualen Algorithmen

Regularization theory for special neural network architectures applied on inverse problems

3D image analysis and microstructure models for simulation of materials properties : 3D Bildanalyse und Mikrostrukturmodellierung für Simulationen von Materialeigenschaften

Equivariant deep learning for 3D topology optimization

Evolutionary neural architecture search for the task of road traffic prediction.

Invertible neural networks and normalizing flows for image reconstruction

PatchNR: learning from very few images by patch normalizing flow regularization

Unsupervised deep machine learning methods to discriminate icequakes in seismological data from Neumayer Station, Antarctica

Deep learning for computed tomography reconstruction - learned methods, deep image prior and uncertainty estimation

On the Interplay between Deep Learning, Partial Differential Equations and Inverse Problems

Tikhonov functionals incorporating tolerances in discrepancy term for inverse problems

Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond

Nonnegative matrix factorization - theory, algorithms and applications : Nichtnegative Matrixfaktorisierung - Theorie, Algorithmen und Anwendungen

Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset

Regularization of ill-posed inverse problems with tolerances and sparsity in the parameter space

Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging : Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging

Regularization by Architecture: A Deep Prior Approach for Inverse Problems

Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer

Deep learning and inverse problems

Principles of Neural Network Architecture Design - Invertibility and Domain Knowledge

3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury

A Survey on Surrogate Approaches to Non-negative Matrix Factorization

Tikhonov Functionals Incorporating Tolerances

Reports about 8 selected benchmark cases of model hierarchies : Deliverable number: D5.1 - Version 0.1

Model uncertainty in magnetic particle imaging: Nonlinear problem formulation and model-based sparse reconstruction

Improved Image Reconstruction in Magnetic Particle Imaging using Structural a priori Information

Atmospheric inverse modeling via sparse reconstruction

An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments

Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry

Prediction of temperature induced shape deviations in dry milling

Semismooth Newton and quasi-Newton methods in weighted ℓ 1 -regularization

An adaptive wavelet solver for a nonlinear parameter identification problem for a parabolic differential equation with sparsity constraints

On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data

Function spaces and optimal currents in impedance tomography

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection

Wavelet-accelerated Tikhonov-Phillips regularization with applications

Wavelet-Galerkin methods for ill-posed problems

Equivalence of a generalized conditional gradient method and the method of surrogate functionals

Reconstruction of Wideband Reflectivity Densities by Wavelet Transforms

Mathematical concepts of multiscale smoothing

Mathematical methods for forecasting bank transaction data

Mathematical methods for forecasting bank transaction data

Interpolating scaling functions with duals

A note on interpolating scaling functions

A new approach to interpolating scaling functions

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection

Wavelets : Theorie und Anwendungen

Interpolating refinable functions and wavelets for general scaling matrices

Wavelet Galerkin methods for ill-posed problems

Continous wavelet transform on tangent bundles of spheres

Wavelets : Theorie und Anwendungen

The affine uncertainty principle in one and two dimensions

Die Singulärwertzerlegung der Röntgentransformation und ihre Anwendungen in der Computertomographie

Arbeitsmarktentwicklung in den Regionen mittlerer Neckar und Hamburg

Fractional multistep methods for the nonlinear Basset equation