Lars Ruthotto

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Venues

CoRR

SIAM J. Sci. Comput.

AAAI

SIAM J. Math. Data Sci.

University of Münster (PHD)

Education History

University of Münster

PHD

Publications

Lars Ruthotto
Differential Equations for Continuous-Time Deep Learning. CoRR (2024)
Abigail Julian, Lars Ruthotto
PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds. CoRR (2024)
Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. CoRR (2023)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Alex Dunbar, Lars Ruthotto
Alternating Minimization for Regression with Tropical Rational Functions. CoRR (2023)
Zheyu Oliver Wang, Ricardo Baptista, Youssef M. Marzouk, Lars Ruthotto, Deepanshu Verma
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. CoRR (2023)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. 45 (3) (2023)
Moshe Eliasof, Lars Ruthotto, Eran Treister
Improving Graph Neural Networks with Learnable Propagation Operators. ICML (2023)
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. CoRR (2023)
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. SIAM J. Sci. Comput. 44 (4) (2022)
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
Multivariate Quantile Function Forecaster. CoRR (2022)
Elizabeth Newman, Lars Ruthotto
'hessQuik': Fast Hessian computation of composite functions. J. Open Source Softw. 7 (72) (2022)
Moshe Eliasof, Lars Ruthotto, Eran Treister
ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR (2022)
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus
Multivariate Quantile Function Forecaster. AISTATS (2022)
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. CoRR (2021)
Lars Ruthotto, Eldad Haber
An Introduction to Deep Generative Modeling. CoRR (2021)
Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. SIAM J. Sci. Comput. 43 (5) (2021)
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. SIAM J. Math. Data Sci. 3 (4) (2021)
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. AAAI (2021)
Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto
A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC (2021)
Lars Ruthotto, Eldad Haber
Deep Neural Networks Motivated by Partial Differential Equations. J. Math. Imaging Vis. 62 (3) (2020)
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
Layer-Parallel Training of Deep Residual Neural Networks. SIAM J. Math. Data Sci. 2 (1) (2020)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks. CoRR (2020)
Kelvin K. Kan, James G. Nagy, Lars Ruthotto
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. CoRR (2020)
James L. Herring, James G. Nagy, Lars Ruthotto
Gauss-Newton Optimization for Phase Recovery From the Bispectrum. IEEE Trans. Computational Imaging 6 (2020)
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. CoRR (2020)
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
Multigrid-in-Channels Neural Network Architectures. CoRR (2020)
Elizabeth Newman, Lars Ruthotto, Joseph L. Hart, Bart G. van Bloemen Waanders
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. CoRR (2020)
Derek Onken, Lars Ruthotto
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows. CoRR (2020)
Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. CoRR (2020)
Samy Wu Fung, Lars Ruthotto
A multiscale method for model order reduction in PDE parameter estimation. J. Comput. Appl. Math. 350 (2019)
Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR (2019)
Samy Wu Fung, Lars Ruthotto
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. SIAM J. Sci. Comput. 41 (5) (2019)
Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
IMEXnet A Forward Stable Deep Neural Network. ICML (2019)
Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister
LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR (2019)
Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto
IMEXnet: A Forward Stable Deep Neural Network. CoRR (2019)
Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR (2019)
Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber
Large-Scale Classification using Multinomial Regression and ADMM. CoRR (2019)
Karsten Tabelow, Evelyne Balteau, John Ashburner, Martina F. Callaghan, Bogdan Draganski, Gunther Helms, Ferath Kherif, Tobias Leutritz, Antoine Lutti, Christophe Phillips, Enrico Reimer, Lars Ruthotto, Maryam Seif, Nikolaus Weiskopf, Gabriel Ziegler, Siawoosh Mohammadi
hMRI - A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage 194 (2019)
Eran Treister, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber
Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR (2018)
Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. AAAI (2018)
Lars Ruthotto, Julianne Chung, Matthias Chung
Optimal Experimental Design for Inverse Problems with State Constraints. SIAM J. Sci. Comput. 40 (4) (2018)
Eldad Haber, Felix Lucka, Lars Ruthotto
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation. CoRR (2018)
Lars Ruthotto, Eldad Haber
Deep Neural Networks motivated by Partial Differential Equations. CoRR (2018)
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
Layer-Parallel Training of Deep Residual Neural Networks. CoRR (2018)
Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun
Learning Across Scales - Multiscale Methods for Convolution Neural Networks. AAAI (2018)
Jan MacDonald, Lars Ruthotto
Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers. J. Math. Imaging Vis. 60 (2) (2018)
Lars Ruthotto, Eran Treister, Eldad Haber
jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. 39 (5) (2017)
Eldad Haber, Lars Ruthotto
Stable Architectures for Deep Neural Networks. CoRR (2017)
James L. Herring, James G. Nagy, Lars Ruthotto
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. CoRR (2017)
Andreas Mang, Lars Ruthotto
A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration. SIAM J. Sci. Comput. 39 (5) (2017)
Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. CoRR (2017)
Eldad Haber, Lars Ruthotto, Elliot Holtham
Learning across scales - A multiscale method for Convolution Neural Networks. CoRR (2017)
Lars Ruthotto, Chen Greif, Jan Modersitzki
A stabilized multigrid solver for hyperelastic image registration. Numer. Linear Algebra Appl. 24 (5) (2017)
Andreas Mang, Lars Ruthotto
A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration. CoRR (2017)
Lars Ruthotto, Eran Treister, Eldad Haber
jInv - a flexible Julia package for PDE parameter estimation. CoRR (2016)
Maximilian März, Lars Ruthotto
Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin (2016)
Constantin Heck, Lars Ruthotto, Jan Modersitzki, Benjamin Berkels
Model-Based Parameterestimation in DCE-MRI Without an Arterial Input Function. Bildverarbeitung für die Medizin (2014)
Jennifer Fohring, Eldad Haber, Lars Ruthotto
Geophysical Imaging of Fluid Flow in Porous Media. SIAM J. Sci. Comput. 36 (5) (2014)
Lars Ruthotto, Siawoosh Mohammadi, Nikolaus Weiskopf
A new method for joint susceptibility artefact correction and super-resolution for dMRI. Medical Imaging: Image Processing (2014)
Lars Ruthotto, Siawoosh Mohammadi, Constantin Heck, Jan Modersitzki, Nikolaus Weiskopf
Hyperelastic Susceptibility Artifact Correction of DTI in SPM. Bildverarbeitung für die Medizin (2013)
Martin Burger, Jan Modersitzki, Lars Ruthotto
A Hyperelastic Regularization Energy for Image Registration. SIAM J. Sci. Comput. 35 (1) (2013)
Lars Ruthotto, Fabian Gigengack, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers, Jan Modersitzki
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin (2012)
Lars Ruthotto, Erlend Hodneland, Jan Modersitzki
Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. WBIR (2012)
Fabian Gigengack, Lars Ruthotto, Xiaoyi Jiang, Jan Modersitzki, Martin Burger, Sven Hermann, Klaus P. Schäfers
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV (2012)
Fabian Gigengack, Lars Ruthotto, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers
Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Trans. Medical Imaging 31 (3) (2012)
Janine Olesch, Lars Ruthotto, Harald Kugel, Stefan Skare, Bernd Fischer, Carsten H. Wolters
A variational approach for the correction of field-inhomogeneities in EPI sequences. Medical Imaging: Image Processing (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lars Ruthotto