Sören Laue - RankMe

71 papers A* 14A 8B 5Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Residual-Aware Theory of Position Bias in Transformers. CoRR Hanna Herasimchyk, Robin Labryga, Tomislav Prusina, Sören Laue
2026	J	`jnl`	LLMs Explain't: A Post-Mortem on Semantic Interpretability in Transformer Models. CoRR Alhassan Abdelhalim, Janick Edinger, Sören Laue, Michaela Regneri
2025	—	`conf`	Information Preserving Line Search via Bayesian Optimization. LION (1) Robin Labryga, Tomislav Prusina, Sören Laue
2025	J	`jnl`	Information Preserving Line Search via Bayesian Optimization. CoRR Robin Labryga, Tomislav Prusina, Sören Laue
2025	J	`jnl`	Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model. CoRR Guanlue Li, Xufeng Zhao, Fang Wu, Sören Laue
2025	A	`conf`	Prediction Is Not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings. ECAI Hanna Herasimchyk, Alhassan Abdelhalim, Sören Laue, Michaela Regneri
2025	J	`jnl`	Prediction is not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings. CoRR Hanna Herasimchyk, Alhassan Abdelhalim, Sören Laue, Michaela Regneri
2024	—	`conf`	Detecting Conceptual Abstraction in LLMs. LREC/COLING Michaela Regneri, Alhassan Abdelhalim, Sören Laue
2024	J	`jnl`	Detecting Conceptual Abstraction in LLMs. CoRR Michaela Regneri, Alhassan Abdelhalim, Sören Laue
2024	—	`conf`	Efficient Line Search Method Based on Regression and Uncertainty Quantification. LION Tomislav Prusina, Sören Laue
2024	J	`jnl`	Efficient Line Search Method Based on Regression and Uncertainty Quantification. CoRR Sören Laue, Tomislav Prusina
2024	A*	`conf`	Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines. NeurIPS Mark Blacher, Christoph Staudt, Julien Klaus, Maurice Wenig, Niklas Merk, Alexander Breuer, Max Engel, Sören Laue, Joachim Giesen
2024	J	`jnl`	Metric multidimensional scaling for large single-cell datasets using neural networks. Algorithms Mol. Biol. Stefan Canzar, Van Hoan Do, Slobodan Jelic, Sören Laue, Domagoj Matijevic, Tomislav Prusina
2023	J	`jnl`	Efficient and Portable Einstein Summation in SQL. Proc. ACM Manag. Data Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen
2023	J	`jnl`	Mixed membership Gaussians. J. Multivar. Anal. Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt
2023	A*	`conf`	Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. AAAI Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue
2023	J	`jnl`	Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. CoRR Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue
2022	A*	`conf`	Convexity Certificates from Hessians. NeurIPS Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen
2022	J	`jnl`	Convexity Certificates from Hessians. CoRR Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen
2022	A	`conf`	Machine Learning, Linear Algebra, and More: Is SQL All You Need? CIDR Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis
2022	A*	`conf`	Optimization for Classical Machine Learning Problems on the GPU. AAAI Sören Laue, Mark Blacher, Joachim Giesen
2022	J	`jnl`	Optimization for Classical Machine Learning Problems on the GPU. CoRR Sören Laue, Mark Blacher, Joachim Giesen
2022	—	`ch.`	The GENO Software Stack. Algorithms for Big Data Joachim Giesen, Lars Kuehne, Sören Laue
2021	A*	`conf`	Method of Moments for Topic Models with Mixed Discrete and Continuous Features. IJCAI Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß
2020	J	`jnl`	A Simple and Efficient Tensor Calculus for Machine Learning. CoRR Sören Laue, Matthias Mitterreiter, Joachim Giesen
2020	J	`jnl`	A Simple and Efficient Tensor Calculus for Machine Learning. Fundam. Informaticae Sören Laue, Matthias Mitterreiter, Joachim Giesen
2020	A*	`conf`	A Simple and Efficient Tensor Calculus. AAAI Sören Laue, Matthias Mitterreiter, Joachim Giesen
2020	—	`conf`	Fast Entity Resolution With Mock Labels and Sorted Integer Sets. DI2KG@VLDB Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Matthias Mitterreiter
2020	A*	`conf`	GENO - Optimization for Classical Machine Learning Made Fast and Easy. AAAI Sören Laue, Matthias Mitterreiter, Joachim Giesen
2020	J	`jnl`	Optimization frameworks for machine learning: Examples and case study. it Inf. Technol. Joachim Giesen, Sören Laue, Matthias Mitterreiter
2019	A*	`conf`	Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. IJCAI Joachim Giesen, Sören Laue
2019	B	`conf`	Dynamic Pseudo-time Warping of Complex Single-Cell Trajectories. RECOMB Van Hoan Do, Mislav Blazevic, Pablo Monteagudo, Luka Borozan, Khaled M. Elbassioni, Sören Laue, Francisca Rojas Ringeling, Domagoj Matijevic, Stefan Canzar
2019	A*	`conf`	GENO - GENeric Optimization for Classical Machine Learning. NeurIPS Sören Laue, Matthias Mitterreiter, Joachim Giesen
2019	J	`jnl`	GENO - GENeric Optimization for Classical Machine Learning. CoRR Sören Laue, Matthias Mitterreiter, Joachim Giesen
2019	—	`conf`	MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions. ECML/PKDD (3) Sören Laue, Matthias Mitterreiter, Joachim Giesen
2019	J	`jnl`	On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation. CoRR Sören Laue
2019	A*	`conf`	Using Benson's Algorithm for Regularization Parameter Tracking. AAAI Joachim Giesen, Sören Laue, Andreas Löhne, Christopher Schneider
2019	J	`jnl`	Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study. Comput. Graph. Forum Joachim Giesen, Julien Klaus, Sören Laue, Ferdinand Schreck
2018	A*	`conf`	Computing Higher Order Derivatives of Matrix and Tensor Expressions. NeurIPS Sören Laue, Matthias Mitterreiter, Joachim Giesen
2018	J	`jnl`	Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane. IEEE/ACM Trans. Netw. Thomas Bläsius, Tobias Friedrich, Anton Krohmer, Sören Laue
2017	B	`conf`	Personal Routes with High-Dimensional Costs and Dynamic Approximation Guarantees. SEA Stefan Funke, Sören Laue, Sabine Storandt
2016	—	`conf`	Deducing individual driving preferences for user-aware navigation. SIGSPATIAL/GIS Stefan Funke, Sören Laue, Sabine Storandt
2016	J	`jnl`	Distributed Convex Optimization with Many Convex Constraints. CoRR Joachim Giesen, Sören Laue
2016	A	`conf`	Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane. ESA Thomas Bläsius, Tobias Friedrich, Anton Krohmer, Sören Laue
2016	—	`conf`	Generating massive complex networks with hyperbolic geometry faster in practice. HPEC Moritz von Looz, Mustafa Safa Özdayi, Sören Laue, Henning Meyerhenke
2016	J	`jnl`	Generating massive complex networks with hyperbolic geometry faster in practice. CoRR Moritz von Looz, Mustafa Özdayi, Sören Laue, Henning Meyerhenke
2015	J	`jnl`	A Fast Parallel Implementation of a PTAS for Fractional Packing and Covering Linear Programs. Int. J. Parallel Program. Slobodan Jelic, Sören Laue, Domagoj Matijevic, Patrick Wijerama
2015	—	`conf`	Reconstructing a Sparse Solution from a Compressed Support Vector Machine. MACIS Joachim Giesen, Sören Laue, Jens K. Müller
2015	A*	`conf`	Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains. ICML Katharina Blechschmidt, Joachim Giesen, Sören Laue
2014	A*	`conf`	Robust and Efficient Kernel Hyperparameter Paths with Guarantees. ICML Joachim Giesen, Sören Laue, Patrick Wieschollek
2014	A	`conf`	Sketching the Support of a Probability Measure. AISTATS Joachim Giesen, Sören Laue, Lars Kuehne
2012	J	`jnl`	A Hybrid Algorithm for Convex Semidefinite Optimization CoRR Sören Laue
2012	A*	`conf`	A Hybrid Algorithm for Convex Semidefinite Optimization. ICML Sören Laue
2012	—	`conf`	A comparison of models of word meaning in context. HLT-NAACL Georgiana Dinu, Stefan Thater, Sören Laue
2012	—	`conf`	Approximating Concavely Parameterized Optimization Problems. NIPS Joachim Giesen, Jens K. Müller, Sören Laue, Sascha Swiercy
2012	J	`jnl`	Approximating parameterized convex optimization problems. ACM Trans. Algorithms Joachim Giesen, Martin Jaggi, Sören Laue
2012	A	`conf`	Optimizing over the Growing Spectrahedron. ESA Joachim Giesen, Martin Jaggi, Sören Laue
2012	A	`conf`	Regularization Paths with Guarantees for Convex Semidefinite Optimization. AISTATS Joachim Giesen, Martin Jaggi, Sören Laue
2011	J	`jnl`	Power assignment problems in wireless communication: Covering points by disks, reaching few receivers quickly, and energy-efficient travelling salesman tours. Ad Hoc Networks Stefan Funke, Sören Laue, Zvi Lotker, Rouven Naujoks
2010	—	`conf`	Approximating Parameterized Convex Optimization Problems. ESA (1) Joachim Giesen, Martin Jaggi, Sören Laue
2008	J	`jnl`	Approximating k-hop minimum spanning trees in Euclidean metrics. Inf. Process. Lett. Sören Laue, Domagoj Matijevic
2008	—	`—`	Approximation algorithms for geometric optimization problems. Sören Laue
2008	J	`jnl`	Geometric Set Cover and Hitting Sets for Polytopes in $R^3$ CoRR Sören Laue
2008	A	`conf`	Geometric Set Cover and Hitting Sets for Polytopes in R STACS Sören Laue
2008	B	`conf`	Power Assignment Problems in Wireless Communication: Covering Points by Disks, Reaching few Receivers Quickly, and Energy-Efficient Travelling Salesman Tours. DCOSS Stefan Funke, Sören Laue, Rouven Naujoks, Zvi Lotker
2007	—	`conf`	Approximating k-hop Minimum Spanning Trees in Euclidean Metrics. CCCG Sören Laue, Domagoj Matijevic
2007	A	`conf`	Bounded-Hop Energy-Efficient Broadcast in Low-Dimensional Metrics Via Coresets. STACS Stefan Funke, Sören Laue
2007	B	`conf`	Minimum-Energy Broadcast with Few Senders. DCOSS Stefan Funke, Sören Laue, Rouven Naujoks
2006	J	`jnl`	Power Assignment Problems in Wireless Communication CoRR Stefan Funke, Sören Laue, Zvi Lotker, Rouven Naujoks
2005	J	`jnl`	A linear algorithm for integer programming in the plane. Math. Program. Friedrich Eisenbrand, Sören Laue
2003	B	`conf`	A Faster Algorithm for Two-Variable Integer Programming. ISAAC Friedrich Eisenbrand, Sören Laue