Matthias Mitterreiter

According to our database, Matthias Mitterreiter authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Mixed membership Gaussians.

Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt

J. Multivar. Anal., May, 2023

GRay: Ray Casting for Visualization and Interactive Data Exploration of Gaussian Mixture Models.

Kai Lawonn, Monique Meuschke, Pepe Eulzer, Matthias Mitterreiter, Joachim Giesen, Tobias Günther

IEEE Trans. Vis. Comput. Graph., 2023

Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption.

Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Method of Moments for Topic Models with Mixed Discrete and Continuous Features.

Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Optimization frameworks for machine learning: Examples and case study.

Joachim Giesen, Sören Laue, Matthias Mitterreiter

it Inf. Technol., 2020

A Simple and Efficient Tensor Calculus for Machine Learning.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Fundam. Informaticae, 2020

Fast Entity Resolution With Mock Labels and Sorted Integer Sets.

Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Matthias Mitterreiter

Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020

A Simple and Efficient Tensor Calculus.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GENO - Optimization for Classical Machine Learning Made Fast and Easy.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

GENO - GENeric Optimization for Classical Machine Learning.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

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

2018

Computing Higher Order Derivatives of Matrix and Tensor Expressions.

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018