• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 101 matches

• 2024
• 
  Gunnar E. Carlsson, Santiago Segarra:
  Data science for graphs. J. Appl. Comput. Topol. 8(5): 1099-1100 (2024)
• 
  Ulrike Tillmann, Gunnar E. Carlsson:
  Proceedings of ATMCS10. J. Appl. Comput. Topol. 8(3): 443-445 (2024)
• 
  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:
  Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024
• 
  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:
  Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024)
• 2023
• 
  Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson:
  Topological Convolutional Layers for Deep Learning. J. Mach. Learn. Res. 24: 59:1-59:35 (2023)
• 
  Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar E. Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalls, Wathiq Mansoor:
  Current Topological and Machine Learning Applications for Bias Detection in Text. ICSPIS 2023: 190-195
• 
  Erik Gunnar Carlsson, John Carlsson:
  Computing the alpha complex using dual active set methods. CoRR abs/2310.00536 (2023)
• 
  Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway, Gunnar E. Carlsson, Ashok Choudhary, Rahul Paul, Gianfranco Doretto, Yassine Himeur, Shadi Atalla, Wathiq Mansoor:
  Current Topological and Machine Learning Applications for Bias Detection in Text. CoRR abs/2311.13495 (2023)
• 2022
• 
  Erik Carlsson, John Gunnar Carlsson:
  Topology and Local Optima in Computer Vision. SN Comput. Sci. 3(2): 138 (2022)
• 2021
• 
  Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
  Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. SIAM J. Appl. Algebra Geom. 5(4): 675-700 (2021)
• 
  Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Gunnar E. Carlsson, Stefano Ermon:
  Evaluating the Disentanglement of Deep Generative Models through Manifold Topology. ICLR 2021
• 
  Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson:
  Topological Deep Learning. CoRR abs/2101.05778 (2021)
• 
  Gunnar E. Carlsson, Facundo Mémoli, Santiago Segarra:
  Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach. CoRR abs/2108.07247 (2021)
• 2020
• 
  Leo Carlsson, Mikael Vejdemo-Johansson, Gunnar E. Carlsson, Pär G. Jönsson:
  Fibers of Failure: Classifying Errors in Predictive Processes. Algorithms 13(6): 150 (2020)
• 
  Gunnar E. Carlsson, Benjamin Filippenko:
  The space of sections of a smooth function. CoRR abs/2006.12023 (2020)
• 2019
• 
  Rickard Brüel Gabrielsson, Gunnar E. Carlsson:
  Exposition and Interpretation of the Topology of Neural Networks. ICMLA 2019: 1069-1076
• 
  Gunnar E. Carlsson, Benjamin Filippenko:
  Persistent homology of the sum metric. CoRR abs/1905.04383 (2019)
• 
  Rickard Brüel Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar E. Carlsson:
  A Topology Layer for Machine Learning. CoRR abs/1905.12200 (2019)
• 
  Gunnar E. Carlsson, Anjan Dwaraknath, Bradley J. Nelson:
  Persistent and Zigzag Homology: A Matrix Factorization Viewpoint. CoRR abs/1911.10693 (2019)
• 2018
• 
  Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
  Hierarchical clustering of asymmetric networks. Adv. Data Anal. Classif. 12(1): 65-105 (2018)
• 
  Leo Carlsson, Gunnar E. Carlsson, Mikael Vejdemo-Johansson:
  Fibres of Failure: Classifying errors in predictive processes. CoRR abs/1803.00384 (2018)
• 
  Rickard Brüel Gabrielsson, Gunnar E. Carlsson:
  A look at the topology of convolutional neural networks. CoRR abs/1810.03234 (2018)
• 
  Gunnar E. Carlsson, Rickard Brüel Gabrielsson:
  Topological Approaches to Deep Learning. CoRR abs/1811.01122 (2018)
• 2017
• 
  Jacek Skryzalin, Gunnar E. Carlsson:
  Numeric invariants from multidimensional persistence. J. Appl. Comput. Topol. 1(1): 89-119 (2017)
• 
  Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
  Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. IEEE Trans. Signal Inf. Process. over Networks 3(4): 711-727 (2017)
• 
  Elena Dubrova, Mats Näslund, Gunnar Carlsson, John Fornehed, Ben J. M. Smeets:
  Two Countermeasures Against Hardware Trojans Exploiting Non-Zero Aliasing Probability of BIST. J. Signal Process. Syst. 87(3): 371-381 (2017)
• 2016
• 
  Gunnar E. Carlsson, Boris Goldfarb:
  On modules over infinite group rings. Int. J. Algebra Comput. 26(3): 451-466 (2016)
• 
  Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
  Hierarchical Clustering of Asymmetric Networks. CoRR abs/1607.06294 (2016)
• 
  Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
  Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. CoRR abs/1607.06335 (2016)
• 
  Gunnar E. Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra:
  Excisive Hierarchical Clustering Methods for Network Data. CoRR abs/1607.06339 (2016)

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