397 citations · 968 across the 32 of their papers we have counts for
38 papers
RAPNet: Accelerating Algebraic Multigrid with Learned Sparse Corrections
Yali Fink, Ido Ben-Yair, Lars Ruthotto +1
The scalable solution of large sparse linear systems is a bottleneck in scientific computing and graph analysis. While algebraic multigrid (AMG) offers optimal linear scaling, its…
LSEMINK: A Modified Newton-Krylov Method for Log-Sum-Exp Minimization
Kelvin Kan, James G. Nagy, Lars Ruthotto
This paper introduces LSEMINK, an effective modified Newton-Krylov algorithm geared toward minimizing the log-sum-exp function for a linear model. Problems of this kind arise commo…
Alternating Minimization for Regression with Tropical Rational Functions
Alex Dunbar, Lars Ruthotto
We propose an alternating minimization heuristic for regression over the space of tropical rational functions with fixed exponents. The method alternates between fitting the numera…
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Sophie Mildenberger, Lars Ruthotto +2
Score-based diffusion models (SBDM) have recently emerged as state-of-the-art approaches for image generation. Existing SBDMs are typically formulated in a finite-dimensional setti…
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof, Lars Ruthotto, Eran Treister
Graph Neural Networks (GNNs) are limited in their propagation operators. In many cases, these operators often contain non-negative elements only and are shared across channels, lim…
A Neural Network Approach for Stochastic Optimal Control
Xingjian Li, Deepanshu Verma, Lars Ruthotto
We present a neural network approach for approximating the value function of high-dimensional stochastic control problems. Our training process simultaneously updates our value fun…