Preprints

(2021). slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. arxiv.org.

Preprint

(2018). Low-Cost Parameterizations of Deep Convolutional Neural Networks. arXiv.org.

Preprint

Book Chapter

(2014). Non-linear Image Registration. Handbook of Mathematical Methods in Imaging.

DOI

Journal Articles

(2022). hessQuik: Fast Hessian computation of composite functions. The Journal of Open Source Software.

PDF Code DOI

(2022). A Neural Network Approach for High-Dimensional Optimal Control Applied to Multi-Agent Path Finding. IEEE Transactions on Control Systems Technology.

Preprint Code DOI

(2021). Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. SIAM Journal on Mathematics of Data Science (SIMODS).

Preprint Code

(2021). PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. SIAM Journal on Scientific Computing (SISC).

Preprint Code

(2021). An Introduction to Deep Generative Modeling. GAMM Mitteilungen.

Preprint DOI

(2020). Layer-Parallel Training of Deep Residual Neural Networks. SIAM Journal on Mathematics of Data Science.

PDF Video DOI

(2020). LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. IEEE Journal of Selected Topics in Signal Processing.

Preprint PDF DOI

(2020). A machine learning framework for solving high-dimensional mean field game and mean field control problems. Proceedings of the National Academy of Sciences.

Preprint Code DOI

(2020). ADMM-Softmax: an ADMM approach for multinomial logistic regression. ETNA - Electronic Transactions on Numerical Analysis.

PDF Code DOI

(2020). Deep neural networks motivated by partial differential equations. Journal of Mathematical Imaging and Vision.

Preprint PDF DOI

(2020). Gauss–Newton Optimization for Phase Recovery From the Bispectrum. IEEE Transactions on Computational Imaging.

PDF Code DOI

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

Code DOI

(2019). A Multiscale Method for Model Order Reduction in PDE Parameter Estimation. Journal of Computational and Applied Mathematics.

DOI

(2019). An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. SIAM Journal on Scientific Computing.

Preprint DOI

(2018). A Bayesian framework for molecular strain identification from mixed diagnostic samples. Inverse Problems.

PDF Code DOI

(2018). Optimal Experimental Design for Inverse Problems with State Constraints. SIAM Journal on Scientific Computing.

Preprint PDF Code DOI

(2017). A Stabilized Multigrid Solver for Hyperelastic Image Registration. Numerical Linear Algebra With Applications.

DOI

(2017). Improved Susceptibility Artifact Correction of Echo Planar MRI using the Alternating Direction Method of Multipliers. Journal of Mathematical Imaging and Vision.

PDF DOI

(2017). jInv - a Flexible Julia Package for PDE Parameter Estimation. SIAM Journal on Scientific Computing.

Preprint PDF Code DOI

(2017). LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. STSIP Special Issue on Harmonic Analysis and Inverse Problems.

Preprint

(2017). Numerical Methods for Polyline-to-Point-Cloud Registration with Applications to Patient-Specific Stent Reconstruction. International Journal for Numerical Methods in Biomedical Engineering.

(2017). Stable architectures for deep neural networks. Inverse Problems.

Preprint PDF DOI

(2016). Computational methods for image reconstruction. NMR in Biomedicine.

PDF DOI

(2014). A multiscale finite volume method for Maxwell's equations at low frequencies. Geophysical Journal International.

(2014). Geophysical Imaging of Fluid Flow in Porous Media. SIAM Journal on Scientific Computing.

PDF DOI

(2014). High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing.. Frontiers in Neuroscience.

(2013). A Hyperelastic Regularization Energy for Image Registration. SIAM Journal on Scientific Computing.

PDF DOI

(2012). Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images. Physics in Medicine and Biology.

PDF DOI

(2012). Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Transactions on Medical Imaging.

PDF DOI

Peer-Reviewed Conference Proceedings

(2022). Multivariate Quantile Function Forecaster. 25th International Conference on Artificial Intelligence and Statistics (AISTATS).

PDF

(2020). A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC 2021.

Preprint

(2020). OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. AAAI 2021.

Preprint Code Video

(2019). LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. Workshop on On Device Learning at the 36th International Conference on Machine Learning.

PDF

(2019). IMEXnet: A Forward Stable Deep Neural Network. 36th International Conference on Machine Learning.

PDF

(2018). Reversible architectures for arbitrarily deep residual neural networks. Thirty-Second AAAI Conference on Artificial Intelligence.

PDF

(2017). Learning across scales - A multiscale method for Convolution Neural Networks. Thirty-Second AAAI Conference on Artificial Intelligence.

Preprint

(2016). Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin.

PDF

(2014). A New Method for Joint Susceptibility Artefact Correction and Super-Resolution for dMRI. Proc SPIE.

PDF DOI

(2014). Model-based parameter estimation in DCE-MRI without an Arterial Input Function. Bildverarbeitung für die Medizin.

PDF DOI

(2013). Hyperelastic Susceptibility Artifact Correction of DTI in SPM. Bildverarbeitung für die Medizin.

PDF Code DOI

(2012). A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin.

DOI

(2012). Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. Workshop on Biomedical Image Registration.

DOI

(2010). A variational approach for the correction of field-inhomogeneities in EPI sequences. Proc SPIE.

PDF DOI