Laue, Sören

13 publications

NeurIPS 2025 Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model Guanlue Li, Xufeng Zhao, Fang Wu, Sören Laue

NeurIPS 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

AAAI 2023 Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue

NeurIPS 2022 Convexity Certificates from Hessians Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen

AAAI 2022 Optimization for Classical Machine Learning Problems on the GPU Sören Laue, Mark Blacher, Joachim Giesen

IJCAI 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

AAAI 2020 A Simple and Efficient Tensor Calculus Sören Laue, Matthias Mitterreiter, Joachim Giesen

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

IJCAI 2019 Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints Joachim Giesen, Sören Laue

ECML-PKDD 2019 MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions Sören Laue, Matthias Mitterreiter, Joachim Giesen

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

AISTATS 2014 Sketching the Support of a Probability Measure Joachim Giesen, Sören Laue, Lars Kuehne

ICML 2012 A Hybrid Algorithm for Convex Semidefinite Optimization Sören Laue