Lars Ruthotto

CoRR, 2024

Differential Equations for Continuous-Time Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

MGIC: Multigrid-in-Channels Neural Network Architectures.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., June, 2023

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2023

Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Alternating Minimization for Regression with Tropical Rational Functions.

[BibT_eX]

[DOI]

Alex Dunbar

CoRR, 2023

Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Graph Neural Networks with Learnable Propagation Operators.

[BibT_eX]

[DOI]

Moshe Eliasof

Eran Treister

Proceedings of the International Conference on Machine Learning, 2023

2022

slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., August, 2022

'hessQuik': Fast Hessian computation of composite functions.

[BibT_eX]

[DOI]

Elizabeth Newman

J. Open Source Softw., 2022

ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators.

[BibT_eX]

[DOI]

Moshe Eliasof

Eran Treister

CoRR, 2022

Multivariate Quantile Function Forecaster.

[BibT_eX]

[DOI]

Kelvin Kan

François-Xavier Aubet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

[BibT_eX]

[DOI]

Elizabeth Newman

Bart G. van Bloemen Waanders

Joseph L. Hart

SIAM J. Math. Data Sci., 2021

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

[BibT_eX]

[DOI]

Kelvin K. Kan

Samy Wu Fung

SIAM J. Sci. Comput., 2021

An Introduction to Deep Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

A Neural Network Approach Applied to Multi-Agent Optimal Control.

[BibT_eX]

[DOI]

Proceedings of the 2021 European Control Conference, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Gauss-Newton Optimization for Phase Recovery From the Bispectrum.

[BibT_eX]

[DOI]

James L. Herring

James G. Nagy

IEEE Trans. Computational Imaging, 2020

Layer-Parallel Training of Deep Residual Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2020

LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Deep Neural Networks Motivated by Partial Differential Equations.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

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

[BibT_eX]

[DOI]

Kelvin K. Kan

James G. Nagy

CoRR, 2020

Multigrid-in-Channels Neural Network Architectures.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Derek Onken

CoRR, 2020

2019

An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation.

[BibT_eX]

[DOI]

Samy Wu Fung

SIAM J. Sci. Comput., 2019

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

[BibT_eX]

[DOI]

NeuroImage, 2019

A multiscale method for model order reduction in PDE parameter estimation.

[BibT_eX]

[DOI]

Samy Wu Fung

J. Comput. Appl. Math., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Large-Scale Classification using Multinomial Regression and ADMM.

[BibT_eX]

[DOI]

CoRR, 2019

IMEXnet A Forward Stable Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Optimal Experimental Design for Inverse Problems with State Constraints.

[BibT_eX]

[DOI]

Julianne Chung

Matthias Chung

SIAM J. Sci. Comput., 2018

Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Jan MacDonald

J. Math. Imaging Vis., 2018

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

[BibT_eX]

[DOI]

Felix Lucka

CoRR, 2018

Low-Cost Parameterizations of Deep Convolution Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Across Scales - Multiscale Methods for Convolution Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reversible Architectures for Arbitrarily Deep Residual Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

jInv-a Flexible Julia Package for PDE Parameter Estimation.

[BibT_eX]

[DOI]

Eran Treister

SIAM J. Sci. Comput., 2017

A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration.

[BibT_eX]

[DOI]

Andreas Mang

SIAM J. Sci. Comput., 2017

A stabilized multigrid solver for hyperelastic image registration.

[BibT_eX]

[DOI]

Chen Greif

Numer. Linear Algebra Appl., 2017

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

[BibT_eX]

[DOI]

James L. Herring

James G. Nagy

CoRR, 2017

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

[BibT_eX]

[DOI]

Elliot Holtham

CoRR, 2017

Stable Architectures for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping.

[BibT_eX]

[DOI]

Maximilian März

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

Non-linear Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

2014

Geophysical Imaging of Fluid Flow in Porous Media.

[BibT_eX]

[DOI]

Jennifer Fohring

SIAM J. Sci. Comput., 2014

A new method for joint susceptibility artefact correction and super-resolution for dMRI.

[BibT_eX]

[DOI]

Siawoosh Mohammadi

Nikolaus Weiskopf

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Model-Based Parameterestimation in DCE-MRI Without an Arterial Input Function.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

2013

A Hyperelastic Regularization Energy for Image Registration.

[BibT_eX]

[DOI]

Martin Burger

SIAM J. Sci. Comput., 2013

Hyperelastic Susceptibility Artifact Correction of DTI in SPM.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012

Hyperelastic image registration: theory, numerical methods, and applications.

[BibT_eX]

[DOI]

PhD thesis, 2012

Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint.

[BibT_eX]

[DOI]

Erlend Hodneland