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Lars Ruthotto
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- affiliation: Emory University, Atlanta, GA, USA
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Books and Theses
- 2012
- [b1]Lars Ruthotto:
Hyperelastic image registration: theory, numerical methods, and applications. University of Münster, 2012, pp. 1-113
Journal Articles
- 2023
- [j21]Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto
, Eran Treister:
MGIC: Multigrid-in-Channels Neural Network Architectures. SIAM J. Sci. Comput. 45(3): S307-S328 (2023) - [j20]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): 235-251 (2023) - 2022
- [j19]Elizabeth Newman
, Lars Ruthotto
:
'hessQuik': Fast Hessian computation of composite functions. J. Open Source Softw. 7(72): 4171 (2022) - [j18]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): 2322- (2022) - 2021
- [j17]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): S704-S726 (2021) - [j16]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): 1041-1066 (2021) - 2020
- [j15]Lars Ruthotto
, Eldad Haber:
Deep Neural Networks Motivated by Partial Differential Equations. J. Math. Imaging Vis. 62(3): 352-364 (2020) - [j14]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): 894-904 (2020) - [j13]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): 1-23 (2020) - [j12]James L. Herring
, James G. Nagy, Lars Ruthotto:
Gauss-Newton Optimization for Phase Recovery From the Bispectrum. IEEE Trans. Computational Imaging 6: 235-247 (2020) - 2019
- [j11]Samy Wu Fung
, Lars Ruthotto
:
A multiscale method for model order reduction in PDE parameter estimation. J. Comput. Appl. Math. 350: 19-34 (2019) - [j10]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: 191-210 (2019) - [j9]Samy Wu Fung
, Lars Ruthotto
:
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. SIAM J. Sci. Comput. 41(5): S129-S148 (2019) - 2018
- [j8]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): 268-282 (2018) - [j7]Lars Ruthotto
, Julianne Chung
, Matthias Chung
:
Optimal Experimental Design for Inverse Problems with State Constraints. SIAM J. Sci. Comput. 40(4): B1080-B1100 (2018) - 2017
- [j6]Lars Ruthotto
, Chen Greif, Jan Modersitzki:
A stabilized multigrid solver for hyperelastic image registration. Numer. Linear Algebra Appl. 24(5) (2017) - [j5]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) - [j4]Lars Ruthotto
, Eran Treister
, Eldad Haber:
jInv-a Flexible Julia Package for PDE Parameter Estimation. SIAM J. Sci. Comput. 39(5) (2017) - 2014
- [j3]Jennifer Fohring, Eldad Haber, Lars Ruthotto
:
Geophysical Imaging of Fluid Flow in Porous Media. SIAM J. Sci. Comput. 36(5) (2014) - 2013
- [j2]Martin Burger, Jan Modersitzki, Lars Ruthotto
:
A Hyperelastic Regularization Energy for Image Registration. SIAM J. Sci. Comput. 35(1) (2013) - 2012
- [j1]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): 698-712 (2012)
Conference and Workshop Papers
- 2023
- [c15]Moshe Eliasof, Lars Ruthotto
, Eran Treister:
Improving Graph Neural Networks with Learnable Propagation Operators. ICML 2023: 9224-9245 - 2022
- [c14]Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus:
Multivariate Quantile Function Forecaster. AISTATS 2022: 10603-10621 - 2021
- [c13]Derek Onken
, Samy Wu Fung, Xingjian Li, Lars Ruthotto:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. AAAI 2021: 9223-9232 - [c12]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: 1036-1041 - 2019
- [c11]Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto:
IMEXnet A Forward Stable Deep Neural Network. ICML 2019: 2525-2534 - 2018
- [c10]Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. AAAI 2018: 2811-2818 - [c9]Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun:
Learning Across Scales - Multiscale Methods for Convolution Neural Networks. AAAI 2018: 3142-3148 - 2016
- [c8]Maximilian März, Lars Ruthotto
:
Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin 2016: 8-13 - 2014
- [c7]Constantin Heck, Lars Ruthotto
, Jan Modersitzki, Benjamin Berkels
:
Model-Based Parameterestimation in DCE-MRI Without an Arterial Input Function. Bildverarbeitung für die Medizin 2014: 246-251 - [c6]Lars Ruthotto
, Siawoosh Mohammadi, Nikolaus Weiskopf:
A new method for joint susceptibility artefact correction and super-resolution for dMRI. Medical Imaging: Image Processing 2014: 90340P - 2013
- [c5]Lars Ruthotto
, Siawoosh Mohammadi, Constantin Heck, Jan Modersitzki, Nikolaus Weiskopf:
Hyperelastic Susceptibility Artifact Correction of DTI in SPM. Bildverarbeitung für die Medizin 2013: 344-349 - 2012
- [c4]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: 51-56 - [c3]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: 82-92 - [c2]Lars Ruthotto
, Erlend Hodneland, Jan Modersitzki:
Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. WBIR 2012: 190-198 - 2010
- [c1]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: 76230K
Reference Works
- 2015
- [r1]Lars Ruthotto
, Jan Modersitzki:
Non-linear Image Registration. Handbook of Mathematical Methods in Imaging 2015: 2005-2051
Informal and Other Publications
- 2024
- [i31]Lars Ruthotto:
Differential Equations for Continuous-Time Deep Learning. CoRR abs/2401.03965 (2024) - [i30]Abigail Julian, Lars Ruthotto:
PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds. CoRR abs/2403.10706 (2024) - 2023
- [i29]Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang:
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation. CoRR abs/2303.04772 (2023) - [i28]Alex Dunbar, Lars Ruthotto:
Alternating Minimization for Regression with Tropical Rational Functions. CoRR abs/2305.20072 (2023) - [i27]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 abs/2310.16975 (2023) - [i26]Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong:
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics. CoRR abs/2311.07563 (2023) - 2022
- [i25]Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus:
Multivariate Quantile Function Forecaster. CoRR abs/2202.11316 (2022) - [i24]Moshe Eliasof, Lars Ruthotto, Eran Treister:
ωGNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators. CoRR abs/2210.17224 (2022) - 2021
- [i23]Lars Ruthotto, Eldad Haber:
An Introduction to Deep Generative Modeling. CoRR abs/2103.05180 (2021) - [i22]Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto:
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. CoRR abs/2109.14002 (2021) - 2020
- [i21]Derek Onken, Lars Ruthotto:
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows. CoRR abs/2005.13420 (2020) - [i20]Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto:
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. CoRR abs/2005.13639 (2020) - [i19]Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto
:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. CoRR abs/2006.00104 (2020) - [i18]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 abs/2007.13171 (2020) - [i17]Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
:
Multigrid-in-Channels Neural Network Architectures. CoRR abs/2011.09128 (2020) - [i16]Kelvin K. Kan, James G. Nagy, Lars Ruthotto:
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. CoRR abs/2012.06667 (2020) - 2019
- [i15]Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber:
Large-Scale Classification using Multinomial Regression and ADMM. CoRR abs/1901.09450 (2019) - [i14]Eldad Haber, Keegan Lensink, Eran Treister
, Lars Ruthotto:
IMEXnet: A Forward Stable Deep Neural Network. CoRR abs/1903.02639 (2019) - [i13]Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. CoRR abs/1904.06952 (2019) - [i12]Jonathan Ephrath, Moshe Eliasof, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. CoRR abs/1910.13157 (2019) - [i11]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 abs/1912.01825 (2019) - 2018
- [i10]Lars Ruthotto, Eldad Haber:
Deep Neural Networks motivated by Partial Differential Equations. CoRR abs/1804.04272 (2018) - [i9]Eran Treister
, Lars Ruthotto, Michal Sharoni, Sapir Zafrani, Eldad Haber:
Low-Cost Parameterizations of Deep Convolution Neural Networks. CoRR abs/1805.07821 (2018) - [i8]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 abs/1805.08034 (2018) - [i7]Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. CoRR abs/1812.04352 (2018) - 2017
- [i6]Eldad Haber, Lars Ruthotto, Elliot Holtham:
Learning across scales - A multiscale method for Convolution Neural Networks. CoRR abs/1703.02009 (2017) - [i5]Andreas Mang, Lars Ruthotto:
A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration. CoRR abs/1703.04446 (2017) - [i4]Eldad Haber, Lars Ruthotto:
Stable Architectures for Deep Neural Networks. CoRR abs/1705.03341 (2017) - [i3]James L. Herring, James G. Nagy, Lars Ruthotto:
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. CoRR abs/1705.09992 (2017) - [i2]Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. CoRR abs/1709.03698 (2017) - 2016
- [i1]Lars Ruthotto, Eran Treister, Eldad Haber:
jInv - a flexible Julia package for PDE parameter estimation. CoRR abs/1606.07399 (2016)
Coauthor Index
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