Temporal Point Processes

Temporal Point Processes is a stochastic process that models the occurrence of discrete events in continuous time, distinguished by its focus on the timing and sequence of events along a one-dimensional temporal domain.

91

Publications

4K

Citations

213

Authors

118

Institutions

Publications per year

2017–2026

56

Variants

Temporal Point Process

Authors

213

  1. MG
    Manuel Gomez-Rodriguez

    Max Planck Institute for Software Systems, Germany

    15 publications · 1.3K citations

    14

    h-index

  2. LS
    Le Song

    Georgia Institute of Technology, United States

    11 publications · 1K citations

    11

    h-index

  3. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    9 publications · 381 citations

    9

    h-index

  4. MF
    Mehrdad Farajtabar

    Georgia Institute of Technology, United States

    9 publications · 459 citations

    9

    h-index

  5. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    8 publications · 265 citations

    8

    h-index

1–5 of 213

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 590 citations

    13

    h-index

  2. 3

    h-index

  3. Natural hazards and earth system sciences

    3 publications · 64 citations

    3

    h-index

  4. PLoS ONE

    2 publications · 46 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 57 citations

    2

    h-index

1–5