Randal Douc

The Institute of Statistical Mathematics, University of British Columbia, Bridge University, University of Melbourne

Papers

10

Total Citations

2,131

H-Index

9

About

No biography available yet.

Research Focus

Computer science10 · 2,131 citations
Artificial intelligence10 · 2,131 citations
Mathematics8 · 1,761 citations
Machine learning5 · 1,746 citations
Mathematical optimization6 · 1,721 citations
Statistics4 · 1,653 citations
Particle filter3 · 1,562 citations
Kalman filter3 · 1,562 citations
Algorithm3 · 1,562 citations
Class (philosophy)3 · 1,443 citations
Gaussian3 · 1,425 citations
Computer vision2 · 1,417 citations

Key Achievements

9
H-Index
10
Papers
2,131
Total Citations
213
Avg Citations/Paper
🏆 Most Cited Paper
A Tutorial on Particle Filtering and Smoothing: Fifteen years later
1,407 citations · 2008
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: The Institute of Statistical Mathematics, University of British Columbia, Bridge University, University of Melbourne

Top Papers

  1. 1
    A Tutorial on Particle Filtering and Smoothing: Fifteen years later
    1,407 citations · 2008
  2. 2
    A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
    222 citations · 2009
  3. 3
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    148 citations · 2007
  4. 4
    Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
    145 citations · 2013
  5. 5
    Support vector regression for black-box system identification
    91 citations · 2002
  6. 6
    Simulation-based optimal sensor scheduling with application to observer trajectory planning
    58 citations · 2007
  7. 7
    Riemannian Score-Based Generative Modelling
    26 citations · 2022
  8. 8
    Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning
    16 citations · 2006
  9. 9
    Particle Filtering and Smoothing: Fifteen years later
    10 citations · 2008
  10. 10
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    8 citations · 2008

Key Collaborators

NDNando de Freitas4 shared papersRMRubén Martínez-Cantín3 shared papersRJRobin J. Evans2 shared papersAMAdam M. Johansen2 shared papersBVBa‐Ngu Vo2 shared papersJAJosé A. Castellanos2 shared papersSSSumeetpal S. Singh2 shared papersRHRalf Herbrich1 shared papersÉMÉmile Mathieu1 shared papersAGArthur Gretton1 shared papersJAJosé A. Castellanos1 shared papersNKNikolaos Kantas1 shared papersVDValentin De Bortoli1 shared papersJTJim Thornton1 shared papersBSBernhard Schölkopf1 shared papersSRStuart Russell1 shared papersKJKevin J. Murphy1 shared papersEBEric Brochu1 shared papersMHMichael Hutchinson1 shared papersPJP. J. Rayner1 shared papers
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