Roxana Pamfil (Feier)
Roxana Pamfil (Feier)
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Dynotears: Structure learning from time-series data
R Pamfil, N Sriwattanaworachai, S Desai, P Pilgerstorfer, K Georgatzis, ...
International Conference on Artificial Intelligence and Statistics, 1595-1605, 2020
Relating modularity maximization and stochastic block models in multilayer networks
AR Pamfil, SD Howison, R Lambiotte, MA Porter
SIAM Journal on Mathematics of Data Science 1 (4), 667-698, 2019
Methods of proof in random matrix theory
AR Feier
Harvard University, 2012
Global air transport complex network: multi-scale analysis
W Guo, B Toader, R Feier, G Mosquera, F Ying, SW Oh, M Price-Williams, ...
SN Applied Sciences 1, 1-14, 2019
Inference of edge correlations in multilayer networks
AR Pamfil, SD Howison, MA Porter
Physical Review E 102 (6), 062307, 2020
Communities in annotated, multilayer, and correlated networks
A Pamfil
University of Oxford, 2018
Represent the Degree of Mimicry between Prosodic Behaviour of Speech Between Two or More People
M Arran, R Assier, G Benham, B Deka, L Dempsey, E Dubrovina, N Fadai, ...
EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling
AR Pamfil
SUPPLEMENTARY MATERIALS: Relating Modularity Maximization and Stochastic Block Models in Multilayer Networks
AR Pamfil, SD Howison, R Lambiotte, MA Porter
Supplementary Materials for DYNOTEARS: Structure Learning from Time-Series Data
R Pamfil, N Sriwattanaworachai, S Desai11, P Pilgerstorfer, P Beaumont, ...
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