Joachim Giesen

143 papers A* 28A 9B 11C 2Misc 2Journal 50Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Proof Systems for Tensor-based Model Counting. AAAI Olaf Beyersdorff, Joachim Giesen, Andreas Goral, Tim Hoffmann, Kaspar Kasche, Christoph Staudt
2025	J	`jnl`	Analyzing Generalization in Pre-Trained Symbolic Regression. CoRR Henrik Voigt, Paul Kahlmeyer, Kai Lawonn, Michael Habeck, Joachim Giesen
2025	A*	`conf`	Dimension Reduction for Symbolic Regression. AAAI Paul Kahlmeyer, Markus Fischer, Joachim Giesen
2025	J	`jnl`	Dimension Reduction for Symbolic Regression. CoRR Paul Kahlmeyer, Markus Fischer, Joachim Giesen
2025	A*	`conf`	Discovering Symmetries of ODEs by Symbolic Regression. AAAI Paul Kahlmeyer, Niklas Merk, Joachim Giesen
2025	J	`jnl`	Discovering Symmetries of ODEs by Symbolic Regression. CoRR Paul Kahlmeyer, Niklas Merk, Joachim Giesen
2025	—	`conf`	Einsum Trees: An Abstraction for Optimizing the Execution of Tensor Expressions. ASPLOS (2) Alexander Breuer, Mark Blacher, Max Engel, Joachim Giesen, Alexander Heinecke, Julien Klaus, Stefan Remke
2025	J	`jnl`	Scaling Up Unbiased Search-based Symbolic Regression. CoRR Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt
2025	J	`jnl`	The Syntax and Semantics of einsum. CoRR Maurice Wenig, Paul Gerhardt Rump, Mark Blacher, Joachim Giesen
2024	A*	`conf`	Convexity Certificates for Symbolic Tensor Expressions. IJCAI Paul Gerhardt Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen
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	B	`conf`	Improved Cut Strategy for Tensor Network Contraction Orders. SEA Christoph Staudt, Mark Blacher, Julien Klaus, Farin Lippmann, Joachim Giesen
2024	A*	`conf`	Model Counting and Sampling via Semiring Extensions. AAAI Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus
2024	A*	`conf`	Scaling Up Unbiased Search-based Symbolic Regression. IJCAI Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt
2024	—	`conf`	Serving MPE Queries on Tensor Networks by Computing Derivatives. PGM Maurice Wenig, Hanno Barschel, Joachim Giesen, Andreas Goral, Mark Blacher
2024	J	`jnl`	The whole and its parts: Visualizing Gaussian mixture models. Vis. Informatics Joachim Giesen, Philipp Lucas, Linda Pfeiffer, Laines Schmalwasser, Kai Lawonn
2023	J	`jnl`	A visual analytics workflow for probabilistic modeling. Vis. Informatics Julien Klaus, Mark Blacher, Andreas Goral, Philipp Lucas, Joachim Giesen
2023	—	`conf`	Compiling Tensor Expressions into Einsum. ICCS (2) Julien Klaus, Mark Blacher, Joachim Giesen
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`	GRay: Ray Casting for Visualization and Interactive Data Exploration of Gaussian Mixture Models. IEEE Trans. Vis. Comput. Graph. Kai Lawonn, Monique Meuschke, Pepe Eulzer, Matthias Mitterreiter, Joachim Giesen, Tobias Günther
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	—	`conf`	Compiling Linear Algebra Expressions into Efficient Code. ICCS (1) Julien Klaus, Mark Blacher, Joachim Giesen, Paul Gerhardt Rump, Konstantin Wiedom
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	J	`jnl`	Identifying the skeptics and the undecided through visual cluster analysis of local network geometry. Vis. Informatics Shenghui Cheng, Joachim Giesen, Tianyi Huang, Philipp Lucas, Klaus Mueller
2022	A*	`conf`	Leveraging the Wikipedia Graph for Evaluating Word Embeddings. IJCAI Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß
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
2022	J	`jnl`	Vectorized and performance-portable Quicksort. CoRR Mark Blacher, Joachim Giesen, Peter Sanders, Jan Wassenberg
2022	J	`jnl`	Vectorized and performance-portable quicksort. Softw. Pract. Exp. Jan Wassenberg, Mark Blacher, Joachim Giesen, Peter Sanders
2021	B	`conf`	Fast and Robust Vectorized In-Place Sorting of Primitive Types. SEA Mark Blacher, Joachim Giesen, Lars Kuehne
2021	J	`jnl`	Lumen: A software for the interactive visualization of probabilistic models together with data. J. Open Source Softw. Philipp Lucas, Joachim Giesen
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
2021	A	`conf`	Robust principal component analysis for generalized multi-view models. UAI Frank Nussbaum, Joachim Giesen
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	A*	`conf`	Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. IJCAI Frank Nussbaum, 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
2020	J	`jnl`	Pairwise sparse + low-rank models for variables of mixed type. J. Multivar. Anal. Frank Nussbaum, Joachim Giesen
2019	A*	`conf`	Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. IJCAI Joachim Giesen, Sören Laue
2019	A*	`conf`	Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. IJCAI Joachim Giesen, Frank Nussbaum, Christopher Schneider
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	B	`conf`	Ising Models with Latent Conditional Gaussian Variables. ALT Frank Nussbaum, Joachim Giesen
2019	J	`jnl`	Ising Models with Latent Conditional Gaussian Variables. CoRR Frank Nussbaum, Joachim Giesen
2019	—	`conf`	MatrixCalculus.org - Computing Derivatives of Matrix and Tensor Expressions. ECML/PKDD (3) Sören Laue, Matthias Mitterreiter, Joachim Giesen
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
2017	J	`jnl`	Sclow Plots: Visualizing Empty Space. Comput. Graph. Forum Joachim Giesen, Lars Kuehne, P. Lucas
2016	J	`jnl`	Distributed Convex Optimization with Many Convex Constraints. CoRR Joachim Giesen, Sören Laue
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
2013	A*	`conf`	A parallel algorithm for computing the flow complex. SoCG Joachim Giesen, Lars Kuehne
2013	J	`jnl`	Parallel Data Analysis (Dagstuhl Seminar 13251). Dagstuhl Reports Artur Andrzejak, Joachim Giesen, Raghu Ramakrishnan, Ion Stoica
2012	J	`jnl`	A Data-Driven Approach to Hue-Preserving Color-Blending. IEEE Trans. Vis. Comput. Graph. Lars Kuehne, Joachim Giesen, Zhiyuan Zhang, Sungsoo Ha, Klaus Mueller
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
2012	J	`jnl`	The medial axis of the union of inner Voronoi balls in the plane. Comput. Geom. Joachim Giesen, Balint Miklos, Mark Pauly
2011	—	`conf`	Image Fusion for optimizing Gamut Mapping. CIC Peter Zolliker, Zofia Baranczuk, Joachim Giesen
2010	—	`conf`	Approximating Parameterized Convex Optimization Problems. ESA (1) Joachim Giesen, Martin Jaggi, Sören Laue
2010	—	`ch.`	Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. Preference Learning Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker
2010	J	`jnl`	Conjoint Analysis for Evaluating Parameterized Gamut Mapping Algorithms. IEEE Trans. Image Process. Peter Zolliker, Zofia Baranczuk, Iris Sprow, Joachim Giesen
2010	J	`jnl`	Discrete scale axis representations for 3D geometry. ACM Trans. Graph. Balint Miklos, Joachim Giesen, Mark Pauly
2010	—	`conf`	SHREC'10 Track: Large Scale Retrieval. 3DOR@Eurographics Remco C. Veltkamp, Geert-Jan Giezeman, Hannah Bast, Thomas Baumbach, Takahiko Furuya, Joachim Giesen, Afzal Godil, Zhouhui Lian, Ryutarou Ohbuchi, Waqar Saleem
2009	J	`jnl`	A Combinatorial Algorithm to Compute Regularization Paths CoRR Bernd Gärtner, Joachim Giesen, Martin Jaggi, Torsten Welsch
2009	J	`jnl`	An Exponential Lower Bound on the Complexity of Regularization Paths CoRR Bernd Gärtner, Joachim Giesen, Martin Jaggi
2009	J	`jnl`	Approximate Sorting. Fundam. Informaticae Joachim Giesen, Eva Schuberth, Milos Stojakovic
2009	—	`conf`	Image Quality Measures for Evaluating Gamut Mapping. CIC Zofia Baranczuk, Peter Zolliker, Joachim Giesen
2009	A*	`conf`	Minimizing Absolute Gaussian Curvature Locally. Computational Geometry Joachim Giesen, Madhusudan Manjunath
2009	—	`conf`	The scale axis picture show. SCG Joachim Giesen, Balint Miklos, Mark Pauly, Camille Wormser
2009	—	`conf`	The scale axis transform. SCG Joachim Giesen, Balint Miklos, Mark Pauly, Camille Wormser
2008	J	`jnl`	Color Design for Illustrative Visualization. IEEE Trans. Vis. Comput. Graph. Lujin Wang, Joachim Giesen, Kevin T. McDonnell, Peter Zolliker, Klaus Mueller
2008	—	`conf`	Conjoint Analysis of Parametrized Gamut Mapping Algorithms. CIC Zofia Baranczuk, Iris Sprow, Peter Zolliker, Joachim Giesen
2008	J	`jnl`	Critical Points of Distance to an epsilon-Sampling of a Surface and Flow-Complex-Based Surface Reconstruction. Int. J. Comput. Geom. Appl. Tamal K. Dey, Joachim Giesen, Edgar A. Ramos, Bardia Sadri
2008	J	`jnl`	Medial Axis Approximation and Unstable Flow Complex. Int. J. Comput. Geom. Appl. Joachim Giesen, Edgar A. Ramos, Bardia Sadri
2008	J	`jnl`	Recursive geometry of the flow complex and topology of the flow complex filtration. Comput. Geom. Kevin Buchin, Tamal K. Dey, Joachim Giesen, Matthias John
2008	—	`conf`	The Solution Path of the Slab Support Vector Machine. CCCG Joachim Giesen, Madhusudan Manjunath, Michael Eigensatz
2008	J	`jnl`	The flow complex: A data structure for geometric modeling. Comput. Geom. Joachim Giesen, Matthias John
2007	C	`conf`	Collaborative Ranking: An Aggregation Algorithm for Individuals' Preference Estimation. AAIM Joachim Giesen, Dieter Mitsche, Eva Schuberth
2007	J	`jnl`	Conjoint Analysis to Measure the Perceived Quality in Volume Rendering. IEEE Trans. Vis. Comput. Graph. Joachim Giesen, Klaus Mueller, Eva Schuberth, Lujin Wang, Peter Zolliker
2007	J	`jnl`	Delaunay triangulations approximate anchor hulls. Comput. Geom. Tamal K. Dey, Joachim Giesen, Samrat Goswami
2007	J	`jnl`	Image-Dependent Gamut Mapping as Optimization Problem. IEEE Trans. Image Process. Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker, Oliver Zweifel
2007	—	`conf`	Medial Axis Approximation of Planar Shapes from Union of Balls: A Simpler and more Robust Algorithm. CCCG Joachim Giesen, Balint Miklos, Mark Pauly
2007	—	`conf`	Medial axis approximation from inner Voronoi balls: a demo of the Mesecina tool. SCG Balint Miklos, Joachim Giesen, Mark Pauly
2006	—	`conf`	A framework for image-dependent gamut mapping. Color Imaging: Processing, Hardcopy, and Applications Joachim Giesen, Eva Schuberth, Klaus Simon, Daniel Zeiter, Peter Zolliker
2006	—	`conf`	A kernel approach to gamut boundary computation. EUSIPCO Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker
2006	B	`conf`	Approximate Sorting. LATIN Joachim Giesen, Eva Schuberth, Milos Stojakovic
2006	—	`conf`	Medial axis approximation and unstable flow complex. SCG Joachim Giesen, Edgar A. Ramos, Bardia Sadri
2006	B	`conf`	Probabilistic fingerprints for shapes. Symposium on Geometry Processing Niloy J. Mitra, Leonidas J. Guibas, Joachim Giesen, Mark Pauly
2006	J	`jnl`	The conformal alpha shape filtration. Vis. Comput. Joachim Giesen, Frédéric Cazals, Mark Pauly, Afra Zomorodian
2005	B	`conf`	Boosting Spectral Partitioning by Sampling and Iteration. ISAAC Joachim Giesen, Dieter Mitsche
2005	B	`conf`	Bounding the Misclassification Error in Spectral Partitioning in the Planted Partition Model. WG Joachim Giesen, Dieter Mitsche
2005	—	`conf`	Conformal Alpha Shapes. PBG Frédéric Cazals, Joachim Giesen, Mark Pauly, Afra Zomorodian
2005	—	`conf`	Critical points of the distance to an epsilon-sampling of a surface and flow-complex-based surface reconstruction. SCG Tamal K. Dey, Joachim Giesen, Edgar A. Ramos, Bardia Sadri
2005	A*	`conf`	Delaunay triangulations approximate anchor hulls. SODA Tamal K. Dey, Joachim Giesen, Samrat Goswami
2005	B	`conf`	Example-Based 3D Scan Completion. Symposium on Geometry Processing Mark Pauly, Niloy J. Mitra, Joachim Giesen, Markus H. Gross, Leonidas J. Guibas
2005	—	`conf`	Flow Complex: General Structure and Algorithm. CCCG Kevin Buchin, Joachim Giesen
2005	—	`conf`	Minimizing the Total Absolute Gaussian Curvature in a Terrain is Hard. CCCG Maike Buchin, Joachim Giesen
2005	B	`conf`	Reconstructing Many Partitions Using Spectral Techniques. FCT Joachim Giesen, Dieter Mitsche
2005	—	`conf`	Toward image-dependent gamut mapping: fast and accurate gamut boundary determination. Color Imaging: Processing, Hardcopy, and Applications Joachim Giesen, Eva Schuberth, Klaus Simon, Peter Zolliker
2004	—	`conf`	Bounds on the k-Neighborhood for Locally Uniformly Sampled Surfaces. PBG Mattias Andersson, Joachim Giesen, Mark Pauly, Bettina Speckmann
2004	—	`conf`	Kernel Methods for Implicit Surface Modeling. NIPS Bernhard Schölkopf, Joachim Giesen, Simon Spalinger
2004	—	`conf`	Meshless surface reconstruction by kernel clustering. CCCG Joachim Giesen, Simon Spalinger
2004	J	`jnl`	Shape Dimension and Intrinsic Metric from Samples of Manifolds. Discret. Comput. Geom. Joachim Giesen, Uli Wagner
2004	—	`conf`	Shape Segmentation and Matching from Noisy Point Clouds. PBG Tamal K. Dey, Joachim Giesen, Samrat Goswami
2003	A*	`conf`	Alpha-shapes and flow shapes are homotopy equivalent. STOC Tamal K. Dey, Joachim Giesen, Matthias John
2003	—	`conf`	Computing the Weighted Flow Complex. VMV Joachim Giesen, Matthias John
2003	J	`jnl`	Shape Dimension and Approximation from Samples. Discret. Comput. Geom. Tamal K. Dey, Joachim Giesen, Samrat Goswami, Wulue Zhao
2003	B	`conf`	Shape Segmentation and Matching with Flow Discretization. WADS Tamal K. Dey, Joachim Giesen, Samrat Goswami
2003	—	`conf`	Shape dimension and intrinsic metric from samples of manifolds with high co-dimension. SCG Joachim Giesen, Uli Wagner
2003	J	`jnl`	Symmetry of Flow Diagrams Derived from Weighted Points in the Plane. Int. J. Comput. Geom. Appl. Joachim Giesen, Matthias John, Michel Stöcklin
2003	A*	`conf`	The flow complex: a data structure for geometric modeling. SODA Joachim Giesen, Matthias John
2002	A	`conf`	A New Diagram from Disks in the Plane. STACS Joachim Giesen, Matthias John
2002	Misc	`conf`	Duality in Disk Induced Flows. International Conference on Computational Science (3) Joachim Giesen, Matthias John
2002	A	`conf`	Requirements Interdependencies and Stakeholders Preferences. RE Joachim Giesen, Axel Völker
2002	A*	`conf`	Shape dimension and approximation from samples. SODA Tamal K. Dey, Joachim Giesen, Samrat Goswami, Wulue Zhao
2002	J	`jnl`	Surface reconstruction based on a dynamical system. Comput. Graph. Forum Joachim Giesen, Matthias John
2002	J	`jnl`	Surface reconstruction using umbrella filters. Comput. Geom. Udo Adamy, Joachim Giesen, Matthias John
2002	—	`conf`	The complexity of flow diagrams in the plane. CCCG Joachim Giesen, Matthias John
2002	B	`conf`	Towards a Theory of Peer-to-Peer Computability. SIROCCO Joachim Giesen, Roger Wattenhofer, Aaron Zollinger
2001	—	`conf`	Decimating samples for mesh simplification. CCCG Tamal K. Dey, Joachim Giesen, James Hudson
2001	—	`conf`	Delaunay based shape reconstruction from large data. IEEE Symposium on Parallel and Large-Data Visualization and Graphics Tamal K. Dey, Joachim Giesen, James Hudson
2001	—	`conf`	Detecting undersampling in surface reconstruction. SCG Tamal K. Dey, Joachim Giesen
2001	Misc	`conf`	Robustness Issues in Surface Reconstruction. International Conference on Computational Science (1) Tamal K. Dey, Joachim Giesen, Wulue Zhao
2001	—	`conf`	Sample Shuffling For Quality Hierarchic Surface Meshing. IMR Tamal K. Dey, Joachim Giesen, James Hudson
2001	A	`conf`	Undersampling and Oversampling in Sample Based Shape Modeling. IEEE Visualization Tamal K. Dey, Joachim Giesen, Samrat Goswami, James Hudson, Rephael Wenger, Wulue Zhao
2000	J	`jnl`	Curve Reconstruction, the Traveling Salesman Problem, and Menger's Theorem on Length. Discret. Comput. Geom. Joachim Giesen
2000	A	`conf`	New techniques for topologically correct surface reconstruction. IEEE Visualization Udo Adamy, Joachim Giesen, Matthias John
2000	C	`conf`	The Lambda-Complex and Surface Reconstruction. EuroCG Udo Adamy, Joachim Giesen, Matthias John
1999	—	`conf`	Curve Reconstruction in Arbitrary Dimension and the Traveling Salesman Problem. DGCI Joachim Giesen
1999	—	`conf`	Curve Reconstruction, the Traveling Salesman Problem and Menger's Theorem on Length. SCG Joachim Giesen