Lars Ruthotto

According to our database1, Lars Ruthotto authored at least 43 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Gauss-Newton Optimization for Phase Recovery From the Bispectrum.
IEEE Trans. Computational Imaging, 2020

Layer-Parallel Training of Deep Residual Neural Networks.
SIAM J. Math. Data Sci., 2020

LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks.
IEEE J. Sel. Top. Signal Process., 2020

Deep Neural Networks Motivated by Partial Differential Equations.
J. Math. Imaging Vis., 2020

Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization.
CoRR, 2020

Multigrid-in-Channels Neural Network Architectures.
CoRR, 2020

Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection.
CoRR, 2020

Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks.
CoRR, 2020

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport.
CoRR, 2020

PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization.
CoRR, 2020

Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows.
CoRR, 2020

2019
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation.
SIAM J. Sci. Comput., 2019

hMRI - A toolbox for quantitative MRI in neuroscience and clinical research.
NeuroImage, 2019

A multiscale method for model order reduction in PDE parameter estimation.
J. Comput. Appl. Math., 2019

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems.
CoRR, 2019

LeanResNet: A Low-cost yet Effective Convolutional Residual Networks.
CoRR, 2019

Large-Scale Classification using Multinomial Regression and ADMM.
CoRR, 2019

IMEXnet A Forward Stable Deep Neural Network.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Optimal Experimental Design for Inverse Problems with State Constraints.
SIAM J. Sci. Comput., 2018

Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers.
J. Math. Imaging Vis., 2018

Never look back - A modified EnKF method and its application to the training of neural networks without back propagation.
CoRR, 2018

Low-Cost Parameterizations of Deep Convolution Neural Networks.
CoRR, 2018

Learning Across Scales - Multiscale Methods for Convolution Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reversible Architectures for Arbitrarily Deep Residual Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
jInv-a Flexible Julia Package for PDE Parameter Estimation.
SIAM J. Sci. Comput., 2017

A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration.
SIAM J. Sci. Comput., 2017

A stabilized multigrid solver for hyperelastic image registration.
Numer. Linear Algebra Appl., 2017

LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables.
CoRR, 2017

Learning across scales - A multiscale method for Convolution Neural Networks.
CoRR, 2017

Stable Architectures for Deep Neural Networks.
CoRR, 2017

2016
Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
Non-linear Image Registration.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

2014
Geophysical Imaging of Fluid Flow in Porous Media.
SIAM J. Sci. Comput., 2014

A new method for joint susceptibility artefact correction and super-resolution for dMRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Model-Based Parameterestimation in DCE-MRI Without an Arterial Input Function.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

2013
A Hyperelastic Regularization Energy for Image Registration.
SIAM J. Sci. Comput., 2013

Hyperelastic Susceptibility Artifact Correction of DTI in SPM.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012
Hyperelastic image registration: theory, numerical methods, and applications.
PhD thesis, 2012

Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration.
IEEE Trans. Medical Imaging, 2012

Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET.
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012

2010
A variational approach for the correction of field-inhomogeneities in EPI sequences.
Proceedings of the Medical Imaging 2010: Image Processing, 2010


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