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.

  • Random walks of infinite moment on free semigroups


    year of publication: 2017 arXiv

    • Dynamical Systems
    • Group Theory
    • Probability
  • NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization


    year of publication: 2017 arXiv

    • Machine Learning
    • Optimization and Control
  • Particle collisions near a three-dimensional warped AdS black hole


    year of publication: 2017 arXiv

  • Groups acting acylindrically on hyperbolic spaces


    year of publication: 2017 arXiv

    • Group Theory
  • On Hopf algebras over the unique $12$-dimensional Hopf algebra without the dual Chevalley property


    year of publication: 2017 arXiv

    • Quantum Algebra

    MSC 2010: 16T05

  • Continuity of Plurisubharmonic Envelopes in Non-Archimedean Geometry and Test Ideals (with an Appendix by José Ignacio Burgos Gil and Martín Sombra)


    year of publication: 2017 arXiv

    • Algebraic Geometry
    • Number Theory

    MSC 2010: 13A35 14G22 32P05 32U05

  • The balance of growth and risk in population dynamics


    year of publication: 2017 arXiv

    • Physics and Society
    • Populations and Evolution
    • Statistical Finance
    • Statistical Mechanics
  • Stimuli Thresholds for Isomerization-induced Molecular Motions in Azobenzene Containing Materials


    year of publication: 2017 arXiv

    • Soft Condensed Matter
  • Vprop: Variational Inference using RMSprop


    year of publication: 2017 arXiv

    • Machine Learning
  • Typical path components in tent map inverse limits


    year of publication: 2017 arXiv

    • Dynamical Systems

    MSC 2010: 37B45 37E05

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