Mark Donahue

MIT Lincoln Laboratory

Papers

3

Total Citations

13

H-Index

2

About

No biography available yet.

Research Focus

Computer science3 · 13 citations
Machine learning3 · 13 citations
Artificial intelligence3 · 13 citations
Theoretical computer science2 · 8 citations
Automaton2 · 8 citations
Interpretability2 · 8 citations
Bayesian probability1 · 6 citations
Function (biology)1 · 5 citations
Data mining1 · 5 citations
Real-time computing1 · 5 citations
Event (particle physics)1 · 5 citations
Inference1 · 2 citations

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
6 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: MIT Lincoln Laboratory

Top Papers

  1. 1
    Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
    6 citations · 2020
  2. 2
    Persistent Surveillance of Events with Unknown Rate Statistics
    5 citations · 2020
  3. 3
    Learning and planning with logical automata
    2 citations · 2021

Key Collaborators

DRDaniela Rus3 shared papersCVCristian-Ioan Vasile2 shared papersKVKiran Vodrahalli2 shared papersBABrandon Araki2 shared papersTLThomas Leech2 shared papersGRGuy Rosman1 shared papersKKKyle Kotowick1 shared papersCBCenk Baykal1 shared papers
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