Gunnar E. Carlsson

75 papers A* 3B 3C 1Misc 4Journal 55Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Data science for graphs. J. Appl. Comput. Topol. Gunnar E. Carlsson, Santiago Segarra
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	J	`jnl`	Proceedings of ATMCS10. J. Appl. Comput. Topol. Ulrike Tillmann, Gunnar E. Carlsson
2023	—	`conf`	Current Topological and Machine Learning Applications for Bias Detection in Text. ICSPIS Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar E. Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalls, Wathiq Mansoor
2023	J	`jnl`	Current Topological and Machine Learning Applications for Bias Detection in Text. CoRR Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar E. Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalls, Wathiq Mansoor
2023	J	`jnl`	Topological Convolutional Layers for Deep Learning. J. Mach. Learn. Res. Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson
2021	A*	`conf`	Evaluating the Disentanglement of Deep Generative Models through Manifold Topology. ICLR Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Gunnar E. Carlsson, Stefano Ermon
2021	J	`jnl`	Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. CoRR Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra
2021	J	`jnl`	Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. SIAM J. Appl. Algebra Geom. Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra
2021	J	`jnl`	Topological Deep Learning. CoRR Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson
2020	J	`jnl`	Fibers of Failure: Classifying Errors in Predictive Processes. Algorithms Leo Carlsson, Mikael Vejdemo-Johansson, Gunnar E. Carlsson, Pär G. Jönsson
2020	J	`jnl`	The space of sections of a smooth function. CoRR Gunnar E. Carlsson, Benjamin Filippenko
2019	J	`jnl`	A Topology Layer for Machine Learning. CoRR Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson
2019	C	`conf`	Exposition and Interpretation of the Topology of Neural Networks. ICMLA Rickard Brüel Gabrielsson, Gunnar E. Carlsson
2019	J	`jnl`	Persistent and Zigzag Homology: A Matrix Factorization Viewpoint. CoRR Gunnar E. Carlsson, Anjan Dwaraknath, Bradley J. Nelson
2019	J	`jnl`	Persistent homology of the sum metric. CoRR Gunnar E. Carlsson, Benjamin Filippenko
2018	J	`jnl`	A look at the topology of convolutional neural networks. CoRR Rickard Brüel Gabrielsson, Gunnar E. Carlsson
2018	J	`jnl`	Fibres of Failure: Classifying errors in predictive processes. CoRR Leo Carlsson, Gunnar E. Carlsson, Mikael Vejdemo-Johansson
2018	J	`jnl`	Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2018	J	`jnl`	Topological Approaches to Deep Learning. CoRR Gunnar E. Carlsson, Rickard Brüel Gabrielsson
2017	J	`jnl`	Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2017	J	`jnl`	Numeric invariants from multidimensional persistence. J. Appl. Comput. Topol. Jacek Skryzalin, Gunnar E. Carlsson
2016	J	`jnl`	Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	J	`jnl`	Excisive Hierarchical Clustering Methods for Network Data. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	J	`jnl`	Hierarchical Clustering of Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2016	J	`jnl`	On modules over infinite group rings. Int. J. Algebra Comput. Gunnar E. Carlsson, Boris Goldfarb
2015	J	`jnl`	Evasion paths in mobile sensor networks. Int. J. Robotics Res. Henry Adams, Gunnar E. Carlsson
2014	J	`jnl`	A Klein-Bottle-Based Dictionary for Texture Representation. Int. J. Comput. Vis. Jose A. Perea, Gunnar E. Carlsson
2014	J	`jnl`	Classification of hepatic lesions using the matching metric. Comput. Vis. Image Underst. Aaron Adcock, Daniel L. Rubin, Gunnar E. Carlsson
2014	A*	`conf`	Hierarchical Quasi-Clustering Methods for Asymmetric Networks. ICML Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2014	J	`jnl`	Hierarchical Quasi-Clustering Methods for Asymmetric Networks. CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2014	J	`jnl`	Numeric Invariants from Multidimensional Persistence. CoRR Jacek Skryzalin, Gunnar E. Carlsson
2014	J	`jnl`	Topological pattern recognition for point cloud data. Acta Numer. Gunnar E. Carlsson
2013	—	`conf`	Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. GlobalSIP Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	J	`jnl`	Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks CoRR Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	Misc	`conf`	Axiomatic construction of hierarchical clustering in asymmetric networks. ICASSP Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2013	J	`jnl`	Building Markov state models with solvent dynamics. BMC Bioinform. Chen Gu, Huang-Wei Chang, Lutz Maibaum, Vijay S. Pande, Gunnar E. Carlsson, Leonidas J. Guibas
2013	J	`jnl`	Classifying Clustering Schemes. Found. Comput. Math. Gunnar E. Carlsson, Facundo Mémoli
2013	Misc	`conf`	Hierarchical clustering methods and algorithms for asymmetric networks. ACSSC Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
2012	J	`jnl`	A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology. PLoS Comput. Biol. Yu. Dabaghian, Facundo Mémoli, Loren M. Frank, Gunnar E. Carlsson
2012	J	`jnl`	Classification of Hepatic Lesions using the Matching Metric CoRR Aaron Adcock, Daniel L. Rubin, Gunnar E. Carlsson
2011	J	`jnl`	Applications of Zigzag Persistence to Topological Data Analysis CoRR Andrew Tausz, Gunnar E. Carlsson
2011	J	`jnl`	Computational topology for configuration spaces of hard disks CoRR Gunnar E. Carlsson, Jackson Gorham, Matthew Kahle, Jeremy Mason
2011	J	`jnl`	Homological Coordinatization CoRR Andrew Tausz, Gunnar E. Carlsson
2010	J	`jnl`	Characterization, Stability and Convergence of Hierarchical Clustering Methods. J. Mach. Learn. Res. Gunnar E. Carlsson, Facundo Mémoli
2010	J	`jnl`	Classifying Clustering Schemes CoRR Gunnar E. Carlsson, Facundo Mémoli
2010	J	`jnl`	Computing Multidimensional Persistence. J. Comput. Geom. Gunnar E. Carlsson, Gurjeet Singh, Afra Zomorodian
2010	Misc	`conf`	Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. Pacific Symposium on Biocomputing Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar E. Carlsson, Vijay S. Pande
2010	J	`jnl`	Zigzag Persistence. Found. Comput. Math. Gunnar E. Carlsson, Vin de Silva
2009	B	`conf`	Computing Multidimensional Persistence. ISAAC Gunnar E. Carlsson, Gurjeet Singh, Afra Zomorodian
2009	J	`jnl`	On the Nonlinear Statistics of Range Image Patches. SIAM J. Imaging Sci. Henry Adams, Gunnar E. Carlsson
2009	J	`jnl`	The Theory of Multidimensional Persistence. Discret. Comput. Geom. Gunnar E. Carlsson, Afra Zomorodian
2009	—	`conf`	Zigzag persistent homology and real-valued functions. SCG Gunnar E. Carlsson, Vin de Silva, Dmitriy Morozov
2008	B	`conf`	A near optimal coder for image geometry with adaptive partitioning. ICIP Arian Maleki, Morteza Shahram, Gunnar E. Carlsson
2008	J	`jnl`	Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008 CoRR Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson
2008	J	`jnl`	Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008. SIGKDD Explor. Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson
2008	J	`jnl`	Localized homology. Comput. Geom. Afra Zomorodian, Gunnar E. Carlsson
2008	J	`jnl`	On the Local Behavior of Spaces of Natural Images. Int. J. Comput. Vis. Gunnar E. Carlsson, Tigran Ishkhanov, Vin de Silva, Afra Zomorodian
2008	J	`jnl`	Zigzag Persistence CoRR Gunnar E. Carlsson, Vin de Silva
2008	Misc	`conf`	ε-entropy of piecewise polynomial functions and tree partitioning compression. ICASSP Arian Maleki, Gunnar E. Carlsson
2007	—	`conf`	Localized Homology. Shape Modeling International Afra Zomorodian, Gunnar E. Carlsson
2007	—	`conf`	The theory of multidimensional persistence. SCG Gunnar E. Carlsson, Afra Zomorodian
2007	—	`conf`	Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition. PBG@Eurographics Gurjeet Singh, Facundo Mémoli, Gunnar E. Carlsson
2006	J	`jnl`	An Algebraic Topological Method for Feature Identification. Int. J. Comput. Geom. Appl. Erik Carlsson, Gunnar E. Carlsson, Vin de Silva
2005	J	`jnl`	Computing Persistent Homology. Discret. Comput. Geom. Afra Zomorodian, Gunnar E. Carlsson
2005	J	`jnl`	Persistence Barcodes for Shapes. Int. J. Shape Model. Gunnar E. Carlsson, Afra Zomorodian, Anne D. Collins, Leonidas J. Guibas
2004	—	`conf`	A Barcode Shape Descriptor for Curve Point Cloud Data. PBG Anne D. Collins, Afra Zomorodian, Gunnar E. Carlsson, Leonidas J. Guibas
2004	J	`jnl`	A barcode shape descriptor for curve point cloud data. Comput. Graph. Anne D. Collins, Afra Zomorodian, Gunnar E. Carlsson, Leonidas J. Guibas
2004	J	`jnl`	A geometric framework for sparse matrix problems. Adv. Appl. Math. Gunnar E. Carlsson, Vin de Silva
2004	—	`conf`	Computing persistent homology. SCG Afra Zomorodian, Gunnar E. Carlsson
2004	B	`conf`	Persistence Barcodes for Shapes. Symposium on Geometry Processing Gunnar E. Carlsson, Afra Zomorodian, Anne D. Collins, Leonidas J. Guibas
2004	—	`conf`	Topological estimation using witness complexes. PBG Vin de Silva, Gunnar E. Carlsson
1992	J	`jnl`	Small Diameter Symmetric Networks from Linear Groups. IEEE Trans. Computers Lowell Campbell, Gunnar E. Carlsson, Michael J. Dinneen, Vance Faber, Michael R. Fellows, Michael A. Langston, James W. Moore, Andrew P. Mullhaupt, Harlan B. Sexton
1985	J	`jnl`	Interconnection Networks Based on a Generalization of Cube-Connected Cycles. IEEE Trans. Computers Gunnar E. Carlsson, J. E. Cruthirds, Harlan B. Sexton, C. G. Wright