Joachim Giesen

According to our database, Joachim Giesen authored at least 117 papers between 1999 and 2024.

Collaborative distances:

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

2024

The whole and its parts: Visualizing Gaussian mixture models.

Joachim Giesen, Philipp Lucas, Linda Pfeiffer, Laines Schmalwasser, Kai Lawonn

Vis. Informatics, 2024

Improved Cut Strategy for Tensor Network Contraction Orders.

Christoph Staudt, Mark Blacher, Julien Klaus, Farin Lippmann, Joachim Giesen

Proceedings of the 22nd International Symposium on Experimental Algorithms, 2024

Convexity Certificates for Symbolic Tensor Expressions.

Paul Gerhardt Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Scaling Up Unbiased Search-based Symbolic Regression.

Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Model Counting and Sampling via Semiring Extensions.

Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A visual analytics workflow for probabilistic modeling.

Julien Klaus, Mark Blacher, Andreas Goral, Philipp Lucas, Joachim Giesen

Vis. Informatics, June, 2023

Mixed membership Gaussians.

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

J. Multivar. Anal., May, 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

Efficient and Portable Einstein Summation in SQL.

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

Proc. ACM Manag. Data, 2023

Compiling Tensor Expressions into Einsum.

Julien Klaus, Mark Blacher, Joachim Giesen

Proceedings of the Computational Science - ICCS 2023, 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

Identifying the skeptics and the undecided through visual cluster analysis of local network geometry.

Shenghui Cheng, Joachim Giesen, Tianyi Huang, Philipp Lucas, Klaus Mueller

Vis. Informatics, 2022

Vectorized and performance-portable quicksort.

Jan Wassenberg, Mark Blacher, Joachim Giesen, Peter Sanders

Softw. Pract. Exp., 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

Leveraging the Wikipedia Graph for Evaluating Word Embeddings.

Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Compiling Linear Algebra Expressions into Efficient Code.

Julien Klaus, Mark Blacher, Joachim Giesen, Paul Gerhardt Rump, Konstantin Wiedom

Proceedings of the Computational Science - ICCS 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

Lumen: A software for the interactive visualization of probabilistic models together with data.

Philipp Lucas, Joachim Giesen

J. Open Source Softw., 2021

Fast and Robust Vectorized In-Place Sorting of Primitive Types.

Mark Blacher, Joachim Giesen, Lars Kuehne

Proceedings of the 19th International Symposium on Experimental Algorithms, 2021

Robust principal component analysis for generalized multi-view models.

Frank Nussbaum, Joachim Giesen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 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

Pairwise sparse + low-rank models for variables of mixed type.

Frank Nussbaum, Joachim Giesen

J. Multivar. Anal., 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

Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models.

Frank Nussbaum, Joachim Giesen

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

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

Joachim Giesen, Julien Klaus, Sören Laue, Ferdinand Schreck

Comput. Graph. Forum, 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

Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization.

Joachim Giesen, Frank Nussbaum, Christopher Schneider

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

Ising Models with Latent Conditional Gaussian Variables.

Frank Nussbaum, Joachim Giesen

Proceedings of the Algorithmic Learning Theory, 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

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

Sclow Plots: Visualizing Empty Space.

Joachim Giesen, Lars Kuehne, P. Lucas

Comput. Graph. Forum, 2017

2016

Distributed Convex Optimization with Many Convex Constraints.

Joachim Giesen, Sören Laue

CoRR, 2016

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

2013

Parallel Data Analysis (Dagstuhl Seminar 13251).

Artur Andrzejak, Joachim Giesen, Raghu Ramakrishnan, Ion Stoica

Dagstuhl Reports, 2013

A parallel algorithm for computing the flow complex.

Joachim Giesen, Lars Kuehne

Proceedings of the Symposium on Computational Geometry 2013, 2013

2012

A Data-Driven Approach to Hue-Preserving Color-Blending.

Lars Kuehne, Joachim Giesen, Zhiyuan Zhang, Sungsoo Ha, Klaus Mueller

IEEE Trans. Vis. Comput. Graph., 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

The medial axis of the union of inner Voronoi balls in the plane.

Joachim Giesen, Balint Miklos, Mark Pauly

Comput. Geom., 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

Optimizing over the Growing Spectrahedron.

Joachim Giesen, Martin Jaggi, Sören Laue

Proceedings of the Algorithms - ESA 2012, 2012

2011

Image Fusion for optimizing Gamut Mapping.

Peter Zolliker, Zofia Baranczuk, Joachim Giesen

Proceedings of the 19th Color and Imaging Conference, 2011

2010

Discrete scale axis representations for 3D geometry.

Balint Miklos, Joachim Giesen, Mark Pauly

ACM Trans. Graph., 2010

Conjoint Analysis for Evaluating Parameterized Gamut Mapping Algorithms.

Peter Zolliker, Zofia Baranczuk, Iris Sprow, Joachim Giesen

IEEE Trans. Image Process., 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

Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010

Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models.

Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker

Proceedings of the Preference Learning., 2010

2009

Approximate Sorting.

Joachim Giesen, Eva Schuberth, Milos Stojakovic

Fundam. Informaticae, 2009

A Combinatorial Algorithm to Compute Regularization Paths

Bernd Gärtner, Joachim Giesen, Martin Jaggi, Torsten Welsch

CoRR, 2009

An Exponential Lower Bound on the Complexity of Regularization Paths

Bernd Gärtner, Joachim Giesen, Martin Jaggi

CoRR, 2009

Image Quality Measures for Evaluating Gamut Mapping.

Zofia Baranczuk, Peter Zolliker, Joachim Giesen

Proceedings of the 17th Color and Imaging Conference, 2009

Minimizing Absolute Gaussian Curvature Locally.

Joachim Giesen, Madhusudan Manjunath

Proceedings of the Computational Geometry, 08.03. - 13.03.2009, 2009

The scale axis transform.

Joachim Giesen, Balint Miklos, Mark Pauly, Camille Wormser

Proceedings of the 25th ACM Symposium on Computational Geometry, 2009

The scale axis picture show.

Joachim Giesen, Balint Miklos, Mark Pauly, Camille Wormser

Proceedings of the 25th ACM Symposium on Computational Geometry, 2009

2008

Color Design for Illustrative Visualization.

Lujin Wang, Joachim Giesen, Kevin T. McDonnell, Peter Zolliker, Klaus Mueller

IEEE Trans. Vis. Comput. Graph., 2008

Medial Axis Approximation and Unstable Flow Complex.

Joachim Giesen, Edgar A. Ramos, Bardia Sadri

Int. J. Comput. Geom. Appl., 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

The flow complex: A data structure for geometric modeling.

Joachim Giesen, Matthias John

Comput. Geom., 2008

Recursive geometry of the flow complex and topology of the flow complex filtration.

Kevin Buchin, Tamal K. Dey, Joachim Giesen, Matthias John

Comput. Geom., 2008

Conjoint Analysis of Parametrized Gamut Mapping Algorithms.

Zofia Baranczuk, Iris Sprow, Peter Zolliker, Joachim Giesen

Proceedings of the 16th Color and Imaging Conference, 2008

The Solution Path of the Slab Support Vector Machine.

Joachim Giesen, Madhusudan Manjunath, Michael Eigensatz

Proceedings of the 20th Annual Canadian Conference on Computational Geometry, 2008

2007

Conjoint Analysis to Measure the Perceived Quality in Volume Rendering.

Joachim Giesen, Klaus Mueller, Eva Schuberth, Lujin Wang, Peter Zolliker

IEEE Trans. Vis. Comput. Graph., 2007

Image-Dependent Gamut Mapping as Optimization Problem.

Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker, Oliver Zweifel

IEEE Trans. Image Process., 2007

Delaunay triangulations approximate anchor hulls.

Tamal K. Dey, Joachim Giesen, Samrat Goswami

Comput. Geom., 2007

Medial axis approximation from inner Voronoi balls: a demo of the Mesecina tool.

Balint Miklos, Joachim Giesen, Mark Pauly

Proceedings of the 23rd ACM Symposium on Computational Geometry, 2007

Medial Axis Approximation of Planar Shapes from Union of Balls: A Simpler and more Robust Algorithm.

Joachim Giesen, Balint Miklos, Mark Pauly

Proceedings of the 19th Annual Canadian Conference on Computational Geometry, 2007

Collaborative Ranking: An Aggregation Algorithm for Individuals' Preference Estimation.

Joachim Giesen, Dieter Mitsche, Eva Schuberth

Proceedings of the Algorithmic Aspects in Information and Management, 2007

2006

The conformal alpha shape filtration.

Joachim Giesen, Frédéric Cazals, Mark Pauly, Afra Zomorodian

Vis. Comput., 2006

Probabilistic fingerprints for shapes.

Niloy J. Mitra, Leonidas J. Guibas, Joachim Giesen, Mark Pauly

Proceedings of the Fourth Eurographics Symposium on Geometry Processing, Cagliari, 2006

A kernel approach to gamut boundary computation.

Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker

Proceedings of the 14th European Signal Processing Conference, 2006

A framework for image-dependent gamut mapping.

Joachim Giesen, Eva Schuberth, Klaus Simon, Daniel Zeiter, Peter Zolliker

Proceedings of the Color Imaging XI: Processing, Hardcopy, and Applications, San Jose, 2006

2005

Bounding the Misclassification Error in Spectral Partitioning in the Planted Partition Model.

Joachim Giesen, Dieter Mitsche

Proceedings of the Graph-Theoretic Concepts in Computer Science, 2005

Conformal Alpha Shapes.

Frédéric Cazals, Joachim Giesen, Mark Pauly, Afra Zomorodian

Proceedings of the 2nd Symposium on Point Based Graphics, 2005

Example-Based 3D Scan Completion.

Mark Pauly, Niloy J. Mitra, Joachim Giesen, Markus H. Gross, Leonidas J. Guibas

Proceedings of the Third Eurographics Symposium on Geometry Processing, 2005

Boosting Spectral Partitioning by Sampling and Iteration.

Joachim Giesen, Dieter Mitsche

Proceedings of the Algorithms and Computation, 16th International Symposium, 2005

Reconstructing Many Partitions Using Spectral Techniques.

Joachim Giesen, Dieter Mitsche

Proceedings of the Fundamentals of Computation Theory, 15th International Symposium, 2005

Toward image-dependent gamut mapping: fast and accurate gamut boundary determination.

Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker

Proceedings of the Color Imaging X: Processing, Hardcopy, and Applications, San Jose, 2005

Flow Complex: General Structure and Algorithm.

Kevin Buchin, Joachim Giesen

Proceedings of the 17th Canadian Conference on Computational Geometry, 2005

Minimizing the Total Absolute Gaussian Curvature in a Terrain is Hard.

Maike Buchin, Joachim Giesen

Proceedings of the 17th Canadian Conference on Computational Geometry, 2005

2004

Shape Dimension and Intrinsic Metric from Samples of Manifolds.

Joachim Giesen, Uli Wagner

Discret. Comput. Geom., 2004

Shape Segmentation and Matching from Noisy Point Clouds.

Tamal K. Dey, Joachim Giesen, Samrat Goswami

Proceedings of the 1st Symposium on Point Based Graphics, 2004

Bounds on the k-Neighborhood for Locally Uniformly Sampled Surfaces.

Mattias Andersson, Joachim Giesen, Mark Pauly, Bettina Speckmann

Proceedings of the 1st Symposium on Point Based Graphics, 2004

Kernel Methods for Implicit Surface Modeling.

Bernhard Schölkopf, Joachim Giesen, Simon Spalinger

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Meshless surface reconstruction by kernel clustering.

Joachim Giesen, Simon Spalinger

Proceedings of the 16th Canadian Conference on Computational Geometry, 2004

2003

Symmetry of Flow Diagrams Derived from Weighted Points in the Plane.

Joachim Giesen, Matthias John, Michel Stöcklin

Int. J. Comput. Geom. Appl., 2003

Shape Dimension and Approximation from Samples.

Tamal K. Dey, Joachim Giesen, Samrat Goswami, Wulue Zhao

Discret. Comput. Geom., 2003

Shape Segmentation and Matching with Flow Discretization.

Tamal K. Dey, Joachim Giesen, Samrat Goswami

Proceedings of the Algorithms and Data Structures, 8th International Workshop, 2003

Computing the Weighted Flow Complex.

Joachim Giesen, Matthias John

Proceedings of the 8th International Fall Workshop on Vision, Modeling, and Visualization, 2003

Alpha-shapes and flow shapes are homotopy equivalent.

Tamal K. Dey, Joachim Giesen, Matthias John

Proceedings of the 35th Annual ACM Symposium on Theory of Computing, 2003

Shape dimension and intrinsic metric from samples of manifolds with high co-dimension.

Joachim Giesen, Uli Wagner

Proceedings of the 19th ACM Symposium on Computational Geometry, 2003

2002

Surface reconstruction using umbrella filters.

Udo Adamy, Joachim Giesen, Matthias John

Comput. Geom., 2002

Surface reconstruction based on a dynamical system.

Joachim Giesen, Matthias John

Comput. Graph. Forum, 2002

A New Diagram from Disks in the Plane.

Joachim Giesen, Matthias John

Proceedings of the STACS 2002, 19th Annual Symposium on Theoretical Aspects of Computer Science, Antibes, 2002

Towards a Theory of Peer-to-Peer Computability.

Joachim Giesen, Roger Wattenhofer, Aaron Zollinger

Proceedings of the SIROCCO 9, 2002

Requirements Interdependencies and Stakeholders Preferences.

Joachim Giesen, Axel Völker

Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering (RE 2002), 2002

Duality in Disk Induced Flows.

Joachim Giesen, Matthias John

Proceedings of the Computational Science - ICCS 2002, 2002

The complexity of flow diagrams in the plane.

Joachim Giesen, Matthias John

Proceedings of the 14th Canadian Conference on Computational Geometry, 2002

2001

Undersampling and Oversampling in Sample Based Shape Modeling.

Tamal K. Dey, Joachim Giesen, Samrat Goswami, James Hudson, Rephael Wenger, Wulue Zhao

Proceedings of the 12th IEEE Visualization Conference, 2001

Delaunay based shape reconstruction from large data.

Tamal K. Dey, Joachim Giesen, James Hudson

Proceedings of the IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics, 2001

Sample Shuffling For Quality Hierarchic Surface Meshing.

Tamal K. Dey, Joachim Giesen, James Hudson

Proceedings of the 10th International Meshing Roundtable, 2001

Robustness Issues in Surface Reconstruction.

Tamal K. Dey, Joachim Giesen, Wulue Zhao

Proceedings of the Computational Science - ICCS 2001, 2001

Detecting undersampling in surface reconstruction.

Tamal K. Dey, Joachim Giesen

Proceedings of the Seventeenth Annual Symposium on Computational Geometry, 2001

Decimating samples for mesh simplification.

Tamal K. Dey, Joachim Giesen, James Hudson

Proceedings of the 13th Canadian Conference on Computational Geometry, 2001

2000

Curve Reconstruction, the Traveling Salesman Problem, and Menger's Theorem on Length.

Joachim Giesen

Discret. Comput. Geom., 2000

New techniques for topologically correct surface reconstruction.

Udo Adamy, Joachim Giesen, Matthias John

Proceedings of the 11th IEEE Visualization Conference, 2000

The Lambda-Complex and Surface Reconstruction.

Udo Adamy, Joachim Giesen, Matthias John

EuroCG, 2000

1999

Curve Reconstruction in Arbitrary Dimension and the Traveling Salesman Problem.

Joachim Giesen

Proceedings of the Discrete Geometry for Computer Imagery, 1999