Alert button
Picture for Lars Ruthotto

Lars Ruthotto

Alert button

PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds

Mar 15, 2024
Abigail Julian, Lars Ruthotto

Viaarxiv icon

Differential Equations for Continuous-Time Deep Learning

Jan 08, 2024
Lars Ruthotto

Viaarxiv icon

Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics

Nov 13, 2023
Malvern Madondo, Deepanshu Verma, Lars Ruthotto, Nicholas Au Yong

Viaarxiv icon

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

Oct 25, 2023
Zheyu Oliver Wang, Ricardo Baptista, Youssef Marzouk, Lars Ruthotto, Deepanshu Verma

Viaarxiv icon

Alternating Minimization for Regression with Tropical Rational Functions

May 31, 2023
Alex Dunbar, Lars Ruthotto

Figure 1 for Alternating Minimization for Regression with Tropical Rational Functions
Figure 2 for Alternating Minimization for Regression with Tropical Rational Functions
Figure 3 for Alternating Minimization for Regression with Tropical Rational Functions
Figure 4 for Alternating Minimization for Regression with Tropical Rational Functions
Viaarxiv icon

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

Mar 08, 2023
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang

Figure 1 for Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Figure 2 for Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Figure 3 for Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Figure 4 for Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Viaarxiv icon

$ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators

Oct 31, 2022
Moshe Eliasof, Lars Ruthotto, Eran Treister

Figure 1 for $ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators
Figure 2 for $ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators
Figure 3 for $ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators
Figure 4 for $ω$GNNs: Deep Graph Neural Networks Enhanced by Multiple Propagation Operators
Viaarxiv icon

Multivariate Quantile Function Forecaster

Feb 23, 2022
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus

Figure 1 for Multivariate Quantile Function Forecaster
Figure 2 for Multivariate Quantile Function Forecaster
Figure 3 for Multivariate Quantile Function Forecaster
Figure 4 for Multivariate Quantile Function Forecaster
Viaarxiv icon

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

Sep 28, 2021
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto

Figure 1 for slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
Figure 2 for slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
Figure 3 for slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
Figure 4 for slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks
Viaarxiv icon

An Introduction to Deep Generative Modeling

Mar 09, 2021
Lars Ruthotto, Eldad Haber

Figure 1 for An Introduction to Deep Generative Modeling
Figure 2 for An Introduction to Deep Generative Modeling
Figure 3 for An Introduction to Deep Generative Modeling
Figure 4 for An Introduction to Deep Generative Modeling
Viaarxiv icon