Florian Schäfer

Mathieu Desbrun

ACM Trans. Graph., July, 2024

Fast macroscopic forcing method.

[BibT_eX]

[DOI]

Spencer H. Bryngelson

Jessie Liu

Ali Mani

J. Comput. Phys., February, 2024

Sparse Recovery of Elliptic Solvers from Matrix-Vector Products.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2024

2023

A framework for AI-based self-adaptive cyber-physical process systems.

[BibT_eX]

[DOI]

Stephanie C. Rodermund

Matthias Vette-Steinkamp

Benjamin Weyers

it Inf. Technol., June, 2023

Information geometric regularization of the barotropic Euler equation.

[BibT_eX]

[DOI]

Ruijia Cao

CoRR, 2023

Sparse Cholesky factorization by greedy conditional selection.

[BibT_eX]

[DOI]

CoRR, 2023

InRank: Incremental Low-Rank Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes.

[BibT_eX]

[DOI]

Yifan Chen

CoRR, 2023

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Competitive Physics Informed Networks.

[BibT_eX]

[DOI]

Qi Zeng

Yash Kothari

Spencer H. Bryngelson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Benchmark Dataset for the Paper "A Hybrid Optimization Method Combining Network Expansion Planning and Switching State Optimization".

[BibT_eX]

[DOI]

Dataset, May, 2022

ZerO Initialization: Initializing Neural Networks with only Zeros and Ones.

[BibT_eX]

[DOI]

Jiawei Zhao

Trans. Mach. Learn. Res., 2022

Competitive Physics Informed Networks.

[BibT_eX]

[DOI]

Qi Zeng

Spencer H. Bryngelson

CoRR, 2022

2021

Multiscale cholesky preconditioning for ill-conditioned problems.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Sparse Cholesky Factorization by Kullback-Leibler Minimization.

[BibT_eX]

[DOI]

Matthias Katzfuss

SIAM J. Sci. Comput., 2021

Compression, Inversion, and Approximate PCA of Dense Kernel Matrices at Near-Linear Computational Complexity.

[BibT_eX]

[DOI]

Timothy John Sullivan

Multiscale Model. Simul., 2021

Polymatrix Competitive Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2021

ZerO Initialization: Initializing Residual Networks with only Zeros and Ones.

[BibT_eX]

[DOI]

Jiawei Zhao

CoRR, 2021

Robust Reinforcement Learning: A Constrained Game-theoretic Approach.

[BibT_eX]

[DOI]

Jing Yu

Clement Gehring

Animashree Anandkumar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Evaluating Machine Learning Models for the Fast Identification of Contingency Cases.

[BibT_eX]

[DOI]

CoRR, 2020

Competitive Mirror Descent.

[BibT_eX]

[DOI]

CoRR, 2020

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Implicit competitive regularization in GANs.

[BibT_eX]

[DOI]

Hongkai Zheng

Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multiresolution operator decomposition for flow simulation in fractured porous media.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

A simplified and efficient particle swarm optimization algorithm considering particle diversity.

[BibT_eX]

[DOI]

Clust. Comput., 2019

Competitive Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications.

[BibT_eX]

[DOI]

Alexander Effland

Martin Rumpf

SIAM J. Imaging Sci., 2018

Contingency Analysis of Power Systems with Artificial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Performing a Virtual Field Test of a New Monitoring Method for Smart Power Grids.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

An efficient open-source implementation to compute the jacobian matrix for the Newton-Raphson power flow algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

2017

Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems.

[BibT_eX]

[DOI]

CoRR, 2017

Time Discrete Extrapolation in a Riemannian Space of Images.

[BibT_eX]

[DOI]

Alexander Effland

Martin Rumpf

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents.

[BibT_eX]

[DOI]

Viktor Botev

Kaloyan Marinov

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

2013

HEAP: A Highly Efficient Adaptive multi-Processor framework.

[BibT_eX]

[DOI]

Luciano Lavagno

Mihai T. Lazarescu

Ioannis Papaefstathiou

Microprocess. Microsystems, 2013

2012

FASTCUDA: Open Source FPGA Accelerator & Hardware-Software Codesign Toolset for CUDA Kernels.

[BibT_eX]

[DOI]

Iakovos Mavroidis

Ioannis Mavroidis

Ioannis Papaefstathiou

Proceedings of the 15th Euromicro Conference on Digital System Design, 2012

2009

The Causative Alternation.

[BibT_eX]

[DOI]

Lang. Linguistics Compass, 2009

Reuse of a HW/SW coverification environment during the refinement process of a functional C model down to an executable HW/SW specification.

[BibT_eX]

[DOI]

Markus Winterholer