Sören Laue

According to our database, Sören Laue authored at least 50 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Metric multidimensional scaling for large single-cell datasets using neural networks.

Stefan Canzar, Van Hoan Do, Slobodan Jelic, Sören Laue, Domagoj Matijevic, Tomislav Prusina

Algorithms Mol. Biol., December, 2024

Efficient Line Search Method Based on Regression and Uncertainty Quantification.

Sören Laue, Tomislav Prusina

CoRR, 2024

Detecting Conceptual Abstraction in LLMs.

Michaela Regneri, Alhassan Abdelhalim, Sören Laue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Mixed membership Gaussians.

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

J. Multivar. Anal., May, 2023

Efficient and Portable Einstein Summation in SQL.

Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen

Proc. ACM Manag. Data, 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

2022

Convexity Certificates from Hessians.

Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Machine Learning, Linear Algebra, and More: Is SQL All You Need?

Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Optimization for Classical Machine Learning Problems on the GPU.

Sören Laue, Mark Blacher, Joachim Giesen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

The GENO Software Stack.

Joachim Giesen, Lars Kuehne, Sören Laue

Proceedings of the Algorithms for Big Data - DFG Priority Program 1736, 2022

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

On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation.

Sören Laue

CoRR, 2019

Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study.

Joachim Giesen, Julien Klaus, Sören Laue, Ferdinand Schreck

Comput. Graph. Forum, 2019

Dynamic Pseudo-time Warping of Complex Single-Cell Trajectories.

Van Hoan Do, Mislav Blazevic, Pablo Monteagudo, Luka Borozan, Khaled M. Elbassioni, Sören Laue, Francisca Rojas Ringeling, Domagoj Matijevic, Stefan Canzar

Proceedings of the Research in Computational Molecular Biology, 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

Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints.

Joachim Giesen, Sören Laue

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Using Benson's Algorithm for Regularization Parameter Tracking.

Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane.

Thomas Bläsius, Tobias Friedrich, Anton Krohmer, Sören Laue

IEEE/ACM Trans. Netw., 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

2017

Personal Routes with High-Dimensional Costs and Dynamic Approximation Guarantees.

Stefan Funke, Sören Laue, Sabine Storandt

Proceedings of the 16th International Symposium on Experimental Algorithms, 2017

2016

Distributed Convex Optimization with Many Convex Constraints.

Joachim Giesen, Sören Laue

CoRR, 2016

Generating massive complex networks with hyperbolic geometry faster in practice.

Moritz von Looz, Mustafa Safa Özdayi, Sören Laue, Henning Meyerhenke

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Deducing individual driving preferences for user-aware navigation.

Stefan Funke, Sören Laue, Sabine Storandt

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015

A Fast Parallel Implementation of a PTAS for Fractional Packing and Covering Linear Programs.

Slobodan Jelic, Sören Laue, Domagoj Matijevic, Patrick Wijerama

Int. J. Parallel Program., 2015

Reconstructing a Sparse Solution from a Compressed Support Vector Machine.

Joachim Giesen, Sören Laue, Jens K. Müller

Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2015

Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains.

Katharina Blechschmidt, Joachim Giesen, Sören Laue

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Robust and Efficient Kernel Hyperparameter Paths with Guarantees.

Joachim Giesen, Sören Laue, Patrick Wieschollek

Proceedings of the 31th International Conference on Machine Learning, 2014

Sketching the Support of a Probability Measure.

Joachim Giesen, Sören Laue, Lars Kuehne

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012

Approximating parameterized convex optimization problems.

Joachim Giesen, Martin Jaggi, Sören Laue

ACM Trans. Algorithms, 2012

Regularization Paths with Guarantees for Convex Semidefinite Optimization.

Joachim Giesen, Martin Jaggi, Sören Laue

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Approximating Concavely Parameterized Optimization Problems.

Joachim Giesen, Jens K. Müller, Sören Laue, Sascha Swiercy

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A comparison of models of word meaning in context.

Georgiana Dinu, Stefan Thater, Sören Laue

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

A Hybrid Algorithm for Convex Semidefinite Optimization.

Sören Laue

Proceedings of the 29th International Conference on Machine Learning, 2012

Optimizing over the Growing Spectrahedron.

Joachim Giesen, Martin Jaggi, Sören Laue

Proceedings of the Algorithms - ESA 2012, 2012

2011

Power assignment problems in wireless communication: Covering points by disks, reaching few receivers quickly, and energy-efficient travelling salesman tours.

Stefan Funke, Sören Laue, Zvi Lotker, Rouven Naujoks

Ad Hoc Networks, 2011

2008

Approximation algorithms for geometric optimization problems.

Sören Laue

PhD thesis, 2008

Approximating k-hop minimum spanning trees in Euclidean metrics.

Sören Laue, Domagoj Matijevic

Inf. Process. Lett., 2008

Geometric Set Cover and Hitting Sets for Polytopes in $R^3$

Sören Laue

CoRR, 2008

Geometric Set Cover and Hitting Sets for Polytopes in R³.

Sören Laue

Proceedings of the STACS 2008, 2008

2007

Bounded-Hop Energy-Efficient Broadcast in Low-Dimensional Metrics Via Coresets.

Stefan Funke, Sören Laue

Proceedings of the STACS 2007, 2007

Minimum-Energy Broadcast with Few Senders.

Stefan Funke, Sören Laue, Rouven Naujoks

Proceedings of the Distributed Computing in Sensor Systems, 2007

2006

Power Assignment Problems in Wireless Communication

Stefan Funke, Sören Laue, Zvi Lotker, Rouven Naujoks

CoRR, 2006

2005

A linear algorithm for integer programming in the plane.

Friedrich Eisenbrand, Sören Laue

Math. Program., 2005

2003

A Faster Algorithm for Two-Variable Integer Programming.

Friedrich Eisenbrand, Sören Laue

Proceedings of the Algorithms and Computation, 14th International Symposium, 2003