Emily Kamienski

Massachusetts Institute of Technology

Papers

3

Total Citations

10

H-Index

2

About

No biography available yet.

Research Focus

Computer science3 · 10 citations
Artificial intelligence3 · 10 citations
Mathematics2 · 8 citations
Nonlinear system1 · 6 citations
Monte Carlo method1 · 6 citations
Computation1 · 6 citations
Deep learning1 · 6 citations
Encoding (memory)1 · 6 citations
Maxima and minima1 · 6 citations
Artificial neural network1 · 6 citations
Algorithm1 · 6 citations
Observable1 · 6 citations

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables
6 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Massachusetts Institute of Technology

Top Papers

  1. 1
    A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables
    6 citations · 2024
  2. 2
    Model Free Method of Screening Training Data for Adversarial Datapoints Through Local Lipschitz Quotient Analysis
    2 citations · 2024
  3. 3
    Gear Ratio Optimization of a Multifunctional Walker Robot Using Dual-Motor Actuation
    2 citations · 2021

Key Collaborators

HHH. Harry Asada3 shared papersHIHirofumi Itagaki1 shared papersINItta Nozawa1 shared papersJBJohn Bell1 shared papersCOCormac O’Neill1 shared papersSTSeiichi Teshigawara1 shared papers
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