A Faster Algorithm for Two-Variable Integer Programming. - Friedrich Eisenbrand; Sören Laue (ISAAC, 2003)

A linear algorithm for integer programming in the plane. - Friedrich Eisenbrand; Sören Laue (Math. Program., 2005)

Power Assignment Problems in Wireless Communication - Stefan Funke; Sören Laue; Zvi Lotker; Rouven Naujoks (CoRR, 2006)

Minimum-Energy Broadcast with Few Senders. - Stefan Funke; Sören Laue; Rouven Naujoks (DCOSS, 2007)

Bounded-Hop Energy-Efficient Broadcast in Low-Dimensional Metrics Via Coresets. - Stefan Funke; Sören Laue (STACS, 2007)

Geometric Set Cover and Hitting Sets for Polytopes in R3. - Sören Laue (STACS, 2008)

Geometric Set Cover and Hitting Sets for Polytopes in $R^3$ - Sören Laue (CoRR, 2008)

Approximating k-hop minimum spanning trees in Euclidean metrics. - Sören Laue; Domagoj Matijevic (Inf. Process. Lett., 2008)

Approximation algorithms for geometric optimization problems. - Sören Laue (2008)

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)

Optimizing over the Growing Spectrahedron. - Joachim Giesen; Martin Jaggi; Sören Laue (ESA, 2012)

A Hybrid Algorithm for Convex Semidefinite Optimization. - Sören Laue (ICML, 2012)

A comparison of models of word meaning in context. - Georgiana Dinu; Stefan Thater; Sören Laue (HLT-NAACL, 2012)

Approximating Concavely Parameterized Optimization Problems. - Joachim Giesen; Jens K. Müller; Sören Laue; Sascha Swiercy (NIPS, 2012)

Regularization Paths with Guarantees for Convex Semidefinite Optimization. - Joachim Giesen; Martin Jaggi; Sören Laue (AISTATS, 2012)

Approximating parameterized convex optimization problems. - Joachim Giesen; Martin Jaggi; Sören Laue (ACM Trans. Algorithms, 2012)

Sketching the Support of a Probability Measure. - Joachim Giesen; Sören Laue; Lars Kuehne (AISTATS, 2014)

Robust and Efficient Kernel Hyperparameter Paths with Guarantees. - Joachim Giesen; Sören Laue; Patrick Wieschollek (ICML, 2014)

Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains. - Katharina Blechschmidt; Joachim Giesen; Sören Laue (ICML, 2015)

Reconstructing a Sparse Solution from a Compressed Support Vector Machine. - Joachim Giesen; Sören Laue; Jens K. Müller (MACIS, 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)

Deducing individual driving preferences for user-aware navigation. - Stefan Funke; Sören Laue; Sabine Storandt (SIGSPATIAL/GIS, 2016)

Generating massive complex networks with hyperbolic geometry faster in practice. - Moritz von Looz; Mustafa Safa Özdayi; Sören Laue; Henning Meyerhenke (HPEC, 2016)

Distributed Convex Optimization with Many Convex Constraints. - Joachim Giesen; Sören Laue (CoRR, 2016)

Personal Routes with High-Dimensional Costs and Dynamic Approximation Guarantees. - Stefan Funke; Sören Laue; Sabine Storandt (SEA, 2017)

Computing Higher Order Derivatives of Matrix and Tensor Expressions. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (NeurIPS, 2018)

Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane. - Thomas Bläsius; Tobias Friedrich 001; Anton Krohmer; Sören Laue (IEEE/ACM Trans. Netw., 2018)

Using Benson's Algorithm for Regularization Parameter Tracking. - Joachim Giesen; Sören Laue; Andreas Löhne; Christopher Schneider (AAAI, 2019)

Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. - Joachim Giesen; Sören Laue (IJCAI, 2019)

GENO - GENeric Optimization for Classical Machine Learning. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (NeurIPS, 2019)

MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (ECML/PKDD (3), 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 (RECOMB, 2019)

Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study. - Joachim Giesen; Julien Klaus; Sören Laue; Ferdinand Schreck (Comput. Graph. Forum, 2019)

On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation. - Sören Laue (CoRR, 2019)

GENO - Optimization for Classical Machine Learning Made Fast and Easy. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (AAAI, 2020)

A Simple and Efficient Tensor Calculus. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (AAAI, 2020)

Fast Entity Resolution With Mock Labels and Sorted Integer Sets. - Mark Blacher; Joachim Giesen; Sören Laue; Julien Klaus; Matthias Mitterreiter (DI2KG@VLDB, 2020)

A Simple and Efficient Tensor Calculus for Machine Learning. - Sören Laue; Matthias Mitterreiter; Joachim Giesen (Fundam. Informaticae, 2020)

Optimization frameworks for machine learning: Examples and case study. - Joachim Giesen; Sören Laue; Matthias Mitterreiter (it Inf. Technol., 2020)

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 (IJCAI, 2021)

The GENO Software Stack. - Joachim Giesen; Lars Kuehne; Sören Laue (Algorithms for Big Data, 2022)

Optimization for Classical Machine Learning Problems on the GPU. - Sören Laue; Mark Blacher; Joachim Giesen (AAAI, 2022)

Machine Learning, Linear Algebra, and More: Is SQL All You Need? - Mark Blacher; Joachim Giesen; Sören Laue; Julien Klaus; Viktor Leis (CIDR, 2022)

Convexity Certificates from Hessians. - Julien Klaus; Niklas Merk; Konstantin Wiedom; Sören Laue; Joachim Giesen (NeurIPS, 2022)

Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. - Matthias Mitterreiter; Marcel Koch; Joachim Giesen; Sören Laue (AAAI, 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)

Mixed membership Gaussians. - Joachim Giesen; Paul Kahlmeyer; Sören Laue; Matthias Mitterreiter; Frank Nussbaum; Christoph Staudt (J. Multivar. Anal., 2023)

Detecting Conceptual Abstraction in LLMs. - Michaela Regneri; Alhassan Abdelhalim; Sören Laue (LREC/COLING, 2024)

Efficient Line Search Method Based on Regression and Uncertainty Quantification. - Tomislav Prusina; Sören Laue (LION, 2024)

Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines. - Mark Blacher; Christoph Staudt; Julien Klaus; Maurice Wenig; Niklas Merk; Alexander Breuer; Max Engel; Sören Laue; Joachim Giesen (NeurIPS, 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., 2024)

Information Preserving Line Search via Bayesian Optimization. - Robin Labryga; Tomislav Prusina; Sören Laue (CoRR, 2025)

Prediction is not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings. - Hanna Herasimchyk; Alhassan Abdelhalim; Sören Laue; Michaela Regneri (CoRR, 2025)