What is Problem Mining? This is a tool based on data of arXiv.org which periodically scans packets of full texts of papers hosted on arXiv and available through arXiv's bulk data access policy, with the aim to automatically detect papers containing discussions on open problems or conjectures. It then creates a list from the detected papers putting together papers' descriptive data and some short snippets extracted from the full texts displaying an information on open problems or conjectures presented in the paper. The papers appearing on this list are only references to the arXiv's versions and we do NOT store the actual papers (TeX sources or PDFs) on our servers. To read any of the papers in this list one needs to follow the arXiv link displayed on the papers' blocks.

You can search within the list using keywords, author names, and subject area. By a simple click of the Interesting button, you may anonymously indicate your interest in the problem. If you think the automatic extraction resulted in incorrect data, you may click on the False positive button instead. The Stats section shows the worldwide interest by our users on a specific problem.

  • Heat flow of Yang-Mills-Higgs functionals in dimension two


    year of publication: 2016 arXiv

    • Analysis of PDEs
  • A functorial Dowker theorem and persistent homology of asymmetric networks


    year of publication: 2016 arXiv

    • Algebraic Topology
  • Links between the Logarithmic Sobolev Inequality and the convolution inequalities for Entropy and Fisher Information


    year of publication: 2016 arXiv

    • Information Theory
  • Some remarks on nodal geometry in the smooth setting


    year of publication: 2016 arXiv

    • Analysis of PDEs
    • Differential Geometry
    • Spectral Theory
  • Binary Constraint Satisfaction Problems Defined by Excluded Topological Minors


    year of publication: 2016 arXiv

    • Computational Complexity
  • Ergodic attractors and almost-everywhere asymptotics of scalar semilinear parabolic differential equations


    year of publication: 2016 arXiv

    • Analysis of PDEs

    MSC 2010: 35B40 35B41 35K15 37L30 37L40

  • We Can "See" You via Wi-Fi - WiFi Action Recognition via Vision-based Methods


    year of publication: 2016 arXiv

    • Computer Vision and Pattern Recognition
  • Motivic invariants of moduli spaces of rank 2 Bradlow - Higgs triples


    year of publication: 2016 arXiv

    • Algebraic Geometry
  • A Survey on Routing in Anonymous Communication Protocols


    year of publication: 2016 arXiv

    • Cryptography and Security
  • Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking


    year of publication: 2016 arXiv

    • Machine Learning
    • Networking and Internet Architecture
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