Curve Reconstruction in Arbitrary Dimension and the Traveling Salesman Problem. - Joachim Giesen (DGCI, 1999)

The Lambda-Complex and Surface Reconstruction. - Udo Adamy; Joachim Giesen; Matthias John 003 (EuroCG, 2000)

New techniques for topologically correct surface reconstruction. - Udo Adamy; Joachim Giesen; Matthias John 003 (IEEE Visualization, 2000)

Curve Reconstruction, the Traveling Salesman Problem, and Menger's Theorem on Length. - Joachim Giesen (Discret. Comput. Geom., 2000)

Decimating samples for mesh simplification. - Tamal K. Dey; Joachim Giesen; James Hudson (CCCG, 2001)

Detecting undersampling in surface reconstruction. - Tamal K. Dey; Joachim Giesen (SCG, 2001)

Robustness Issues in Surface Reconstruction. - Tamal K. Dey; Joachim Giesen; Wulue Zhao (International Conference on Computational Science (1), 2001)

Sample Shuffling For Quality Hierarchic Surface Meshing. - Tamal K. Dey; Joachim Giesen; James Hudson (IMR, 2001)

Delaunay based shape reconstruction from large data. - Tamal K. Dey; Joachim Giesen; James Hudson (IEEE Symposium on Parallel and Large-Data Visualization and Graphics, 2001)

Undersampling and Oversampling in Sample Based Shape Modeling. - Tamal K. Dey; Joachim Giesen; Samrat Goswami; James Hudson; Rephael Wenger; Wulue Zhao (IEEE Visualization, 2001)

The complexity of flow diagrams in the plane. - Joachim Giesen; Matthias John 003 (CCCG, 2002)

Duality in Disk Induced Flows. - Joachim Giesen; Matthias John 003 (International Conference on Computational Science (3), 2002)

Requirements Interdependencies and Stakeholders Preferences. - Joachim Giesen; Axel Völker (RE, 2002)

Towards a Theory of Peer-to-Peer Computability. - Joachim Giesen; Roger Wattenhofer; Aaron Zollinger (SIROCCO, 2002)

A New Diagram from Disks in the Plane. - Joachim Giesen; Matthias John 003 (STACS, 2002)

Surface reconstruction based on a dynamical system. - Joachim Giesen; Matthias John 003 (Comput. Graph. Forum, 2002)

Surface reconstruction using umbrella filters. - Udo Adamy; Joachim Giesen; Matthias John 003 (Comput. Geom., 2002)

Shape dimension and intrinsic metric from samples of manifolds with high co-dimension. - Joachim Giesen; Uli Wagner 001 (SCG, 2003)

Alpha-shapes and flow shapes are homotopy equivalent. - Tamal K. Dey; Joachim Giesen; Matthias John 003 (STOC, 2003)

Computing the Weighted Flow Complex. - Joachim Giesen; Matthias John 003 (VMV, 2003)

Shape Segmentation and Matching with Flow Discretization. - Tamal K. Dey; Joachim Giesen; Samrat Goswami (WADS, 2003)

Shape Dimension and Approximation from Samples. - Tamal K. Dey; Joachim Giesen; Samrat Goswami; Wulue Zhao (Discret. Comput. Geom., 2003)

Symmetry of Flow Diagrams Derived from Weighted Points in the Plane. - Joachim Giesen; Matthias John 003; Michel Stöcklin (Int. J. Comput. Geom. Appl., 2003)

Meshless surface reconstruction by kernel clustering. - Joachim Giesen; Simon Spalinger (CCCG, 2004)

Kernel Methods for Implicit Surface Modeling. - Bernhard Schölkopf; Joachim Giesen; Simon Spalinger (NIPS, 2004)

Bounds on the k-Neighborhood for Locally Uniformly Sampled Surfaces. - Mattias Andersson 002; Joachim Giesen; Mark Pauly; Bettina Speckmann (PBG, 2004)

Shape Segmentation and Matching from Noisy Point Clouds. - Tamal K. Dey; Joachim Giesen; Samrat Goswami (PBG, 2004)

Shape Dimension and Intrinsic Metric from Samples of Manifolds. - Joachim Giesen; Uli Wagner 001 (Discret. Comput. Geom., 2004)

Minimizing the Total Absolute Gaussian Curvature in a Terrain is Hard. - Maike Buchin; Joachim Giesen (CCCG, 2005)

Flow Complex: General Structure and Algorithm. - Kevin Buchin; Joachim Giesen (CCCG, 2005)

Toward image-dependent gamut mapping: fast and accurate gamut boundary determination. - Joachim Giesen; Eva Schuberth; Klaus Simon; Peter Zolliker (Color Imaging: Processing, Hardcopy, and Applications, 2005)

Reconstructing Many Partitions Using Spectral Techniques. - Joachim Giesen; Dieter Mitsche (FCT, 2005)

Boosting Spectral Partitioning by Sampling and Iteration. - Joachim Giesen; Dieter Mitsche (ISAAC, 2005)

Example-Based 3D Scan Completion. - Mark Pauly; Niloy J. Mitra; Joachim Giesen; Markus H. Gross; Leonidas J. Guibas (Symposium on Geometry Processing, 2005)

Conformal Alpha Shapes. - Frédéric Cazals; Joachim Giesen; Mark Pauly; Afra Zomorodian (PBG, 2005)

Bounding the Misclassification Error in Spectral Partitioning in the Planted Partition Model. - Joachim Giesen; Dieter Mitsche (WG, 2005)

A framework for image-dependent gamut mapping. - Joachim Giesen; Eva Schuberth; Klaus Simon; Daniel Zeiter; Peter Zolliker (Color Imaging: Processing, Hardcopy, and Applications, 2006)

A kernel approach to gamut boundary computation. - Joachim Giesen; Eva Schuberth; Klaus Simon; Peter Zolliker (EUSIPCO, 2006)

Probabilistic fingerprints for shapes. - Niloy J. Mitra; Leonidas J. Guibas; Joachim Giesen; Mark Pauly (Symposium on Geometry Processing, 2006)

The conformal alpha shape filtration. - Joachim Giesen; Frédéric Cazals; Mark Pauly; Afra Zomorodian (Vis. Comput., 2006)

Collaborative Ranking: An Aggregation Algorithm for Individuals' Preference Estimation. - Joachim Giesen; Dieter Mitsche; Eva Schuberth (AAIM, 2007)

Medial Axis Approximation of Planar Shapes from Union of Balls: A Simpler and more Robust Algorithm. - Joachim Giesen; Balint Miklos; Mark Pauly (CCCG, 2007)

Medial axis approximation from inner Voronoi balls: a demo of the Mesecina tool. - Balint Miklos; Joachim Giesen; Mark Pauly (SCG, 2007)

Delaunay triangulations approximate anchor hulls. - Tamal K. Dey; Joachim Giesen; Samrat Goswami (Comput. Geom., 2007)

Image-Dependent Gamut Mapping as Optimization Problem. - Joachim Giesen; Eva Schuberth; Klaus Simon; Peter Zolliker; Oliver Zweifel (IEEE Trans. Image Process., 2007)

Conjoint Analysis to Measure the Perceived Quality in Volume Rendering. - Joachim Giesen; Klaus Mueller 001; Eva Schuberth; Lujin Wang; Peter Zolliker (IEEE Trans. Vis. Comput. Graph., 2007)

The Solution Path of the Slab Support Vector Machine. - Joachim Giesen; Madhusudan Manjunath; Michael Eigensatz (CCCG, 2008)

Conjoint Analysis of Parametrized Gamut Mapping Algorithms. - Zofia Baranczuk; Iris Sprow; Peter Zolliker; Joachim Giesen (CIC, 2008)

Recursive geometry of the flow complex and topology of the flow complex filtration. - Kevin Buchin; Tamal K. Dey; Joachim Giesen; Matthias John 003 (Comput. Geom., 2008)

The flow complex: A data structure for geometric modeling. - Joachim Giesen; Matthias John 003 (Comput. Geom., 2008)

Critical Points of Distance to an epsilon-Sampling of a Surface and Flow-Complex-Based Surface Reconstruction. - Tamal K. Dey; Joachim Giesen; Edgar A. Ramos; Bardia Sadri (Int. J. Comput. Geom. Appl., 2008)

Medial Axis Approximation and Unstable Flow Complex. - Joachim Giesen; Edgar A. Ramos; Bardia Sadri (Int. J. Comput. Geom. Appl., 2008)

Color Design for Illustrative Visualization. - Lujin Wang; Joachim Giesen; Kevin T. McDonnell; Peter Zolliker; Klaus Mueller 001 (IEEE Trans. Vis. Comput. Graph., 2008)

The scale axis picture show. - Joachim Giesen; Balint Miklos; Mark Pauly; Camille Wormser (SCG, 2009)

The scale axis transform. - Joachim Giesen; Balint Miklos; Mark Pauly; Camille Wormser (SCG, 2009)

Minimizing Absolute Gaussian Curvature Locally. - Joachim Giesen; Madhusudan Manjunath (Computational Geometry, 2009)

Image Quality Measures for Evaluating Gamut Mapping. - Zofia Baranczuk; Peter Zolliker; Joachim Giesen (CIC, 2009)

An Exponential Lower Bound on the Complexity of Regularization Paths - Bernd Gärtner; Joachim Giesen; Martin Jaggi (CoRR, 2009)

A Combinatorial Algorithm to Compute Regularization Paths - Bernd Gärtner; Joachim Giesen; Martin Jaggi; Torsten Welsch (CoRR, 2009)

Approximate Sorting. - Joachim Giesen; Eva Schuberth; Milos Stojakovic (Fundam. Informaticae, 2009)

Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. - Joachim Giesen; Klaus Mueller 001; Bilyana Taneva; Peter Zolliker (Preference Learning, 2010)

SHREC'10 Track: Large Scale Retrieval. - Remco C. Veltkamp; Geert-Jan Giezeman; Hannah Bast; Thomas Baumbach; Takahiko Furuya; Joachim Giesen; Afzal Godil; Zhouhui Lian; Ryutarou Ohbuchi; Waqar Saleem (3DOR@Eurographics, 2010)

Conjoint Analysis for Evaluating Parameterized Gamut Mapping Algorithms. - Peter Zolliker; Zofia Baranczuk; Iris Sprow; Joachim Giesen (IEEE Trans. Image Process., 2010)

Discrete scale axis representations for 3D geometry. - Balint Miklos; Joachim Giesen; Mark Pauly (ACM Trans. Graph., 2010)

Image Fusion for optimizing Gamut Mapping. - Peter Zolliker; Zofia Baranczuk; Joachim Giesen (CIC, 2011)

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

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

The medial axis of the union of inner Voronoi balls in the plane. - Joachim Giesen; Balint Miklos; Mark Pauly (Comput. Geom., 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)

A Data-Driven Approach to Hue-Preserving Color-Blending. - Lars Kuehne; Joachim Giesen; Zhiyuan Zhang 006; Sungsoo Ha; Klaus Mueller 001 (IEEE Trans. Vis. Comput. Graph., 2012)

A parallel algorithm for computing the flow complex. - Joachim Giesen; Lars Kuehne (SoCG, 2013)

Parallel Data Analysis (Dagstuhl Seminar 13251). - Artur Andrzejak 001; Joachim Giesen; Raghu Ramakrishnan 001; Ion Stoica (Dagstuhl Reports, 2013)

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)

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

Sclow Plots: Visualizing Empty Space. - Joachim Giesen; Lars Kuehne; P. Lucas (Comput. Graph. Forum, 2017)

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

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

Ising Models with Latent Conditional Gaussian Variables. - Frank Nussbaum; Joachim Giesen (ALT, 2019)

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

Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. - Joachim Giesen; Frank Nussbaum; Christopher Schneider (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)

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

Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. - Frank Nussbaum; Joachim Giesen (IJCAI, 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)

Pairwise sparse + low-rank models for variables of mixed type. - Frank Nussbaum; Joachim Giesen (J. Multivar. Anal., 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)

Robust principal component analysis for generalized multi-view models. - Frank Nussbaum; Joachim Giesen (UAI, 2021)

Fast and Robust Vectorized In-Place Sorting of Primitive Types. - Mark Blacher; Joachim Giesen; Lars Kuehne (SEA, 2021)

Lumen: A software for the interactive visualization of probabilistic models together with data. - Philipp Lucas 002; Joachim Giesen (J. Open Source Softw., 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)

Compiling Linear Algebra Expressions into Efficient Code. - Julien Klaus; Mark Blacher; Joachim Giesen; Paul Gerhardt Rump; Konstantin Wiedom (ICCS (1), 2022)

Leveraging the Wikipedia Graph for Evaluating Word Embeddings. - Joachim Giesen; Paul Kahlmeyer; Frank Nussbaum; Sina Zarrieß (IJCAI, 2022)

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

Vectorized and performance-portable quicksort. - Jan Wassenberg; Mark Blacher; Joachim Giesen; Peter Sanders 001 (Softw. Pract. Exp., 2022)

Identifying the skeptics and the undecided through visual cluster analysis of local network geometry. - Shenghui Cheng; Joachim Giesen; Tianyi Huang; Philipp Lucas 002; Klaus Mueller 001 (Vis. Informatics, 2022)

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

Compiling Tensor Expressions into Einsum. - Julien Klaus; Mark Blacher; Joachim Giesen (ICCS (2), 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)

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)

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

A visual analytics workflow for probabilistic modeling. - Julien Klaus; Mark Blacher; Andreas Goral; Philipp Lucas 002; Joachim Giesen (Vis. Informatics, 2023)

Model Counting and Sampling via Semiring Extensions. - Andreas Goral; Joachim Giesen; Mark Blacher; Christoph Staudt; Julien Klaus (AAAI, 2024)

Scaling Up Unbiased Search-based Symbolic Regression. - Paul Kahlmeyer; Joachim Giesen; Michael Habeck; Henrik Voigt (IJCAI, 2024)

Convexity Certificates for Symbolic Tensor Expressions. - Paul Gerhardt Rump; Niklas Merk; Julien Klaus; Maurice Wenig; Joachim Giesen (IJCAI, 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)

Serving MPE Queries on Tensor Networks by Computing Derivatives. - Maurice Wenig; Hanno Barschel; Joachim Giesen; Andreas Goral; Mark Blacher (PGM, 2024)

Improved Cut Strategy for Tensor Network Contraction Orders. - Christoph Staudt; Mark Blacher; Julien Klaus; Farin Lippmann; Joachim Giesen (SEA, 2024)

The whole and its parts: Visualizing Gaussian mixture models. - Joachim Giesen; Philipp Lucas 002; Linda Pfeiffer; Laines Schmalwasser; Kai Lawonn (Vis. Informatics, 2024)

Dimension Reduction for Symbolic Regression. - Paul Kahlmeyer; Markus Fischer 005; Joachim Giesen (AAAI, 2025)

Discovering Symmetries of ODEs by Symbolic Regression. - Paul Kahlmeyer; Niklas Merk; Joachim Giesen (AAAI, 2025)

Einsum Trees: An Abstraction for Optimizing the Execution of Tensor Expressions. - Alexander Breuer; Mark Blacher; Max Engel; Joachim Giesen; Alexander Heinecke; Julien Klaus; Stefan Remke (ASPLOS (2), 2025)