Stebėti
Mihai Cucuringu
Mihai Cucuringu
Professor of Mathematics, UCLA; Department of Statistics, University of Oxford
Patvirtintas el. paštas math.ucla.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Sensor network localization by eigenvector synchronization over the Euclidean group
M Cucuringu, Y Lipman, A Singer
ACM Transactions on Sensor Networks (TOSN) 8 (3), 19, 2012
1562012
Uniqueness of low-rank matrix completion by rigidity theory
A Singer, M Cucuringu
SIAM Journal on Matrix Analysis and Applications 31 (4), 1621-1641, 2010
1492010
Anomaly Detection in Networks with Application to Financial Transaction Networks
A Elliott, M Cucuringu, MM Luaces, P Reidy, G Reinert
arXiv preprint arXiv:1901.00402, 2019
116*2019
Detection of Core-Periphery Structure in Networks Using Spectral Methods and Geodesic Paths
M Cucuringu, MP Rombach, SH Lee, MA Porter
European Journal of Applied Mathematics, Vol. 27, No. 6: 846-887 (2016), 2016
1092016
Density-based and transport-based core-periphery structures in networks
SH Lee, M Cucuringu, MA Porter
Physical Review E 89 (3), 032810, 2014
982014
Sync-Rank: Robust ranking, constrained ranking and rank aggregation via eigenvector and SDP synchronization
M Cucuringu
IEEE Transactions on Network Science and Engineering 3 (1), 58-79, 2016
912016
Eigenvector synchronization, graph rigidity and the molecule problem
M Cucuringu, A Singer, D Cowburn
Information and Inference: A Journal of the IMA 1 (1), 21-67, 2012
902012
SPONGE: A generalized eigenproblem for clustering signed networks
M Cucuringu, P Davies, A Glielmo, H Tyagi
AISTATS 2019, 2019
832019
Simple and Scalable Constrained Clustering: A Generalized Spectral Method
RP M. Cucuringu, I. Koutis, S. Chawla, G. Miller
AISTATS 2016 (Artificial Intelligence and Statistics Conference), 2016
71*2016
Hermitian matrices for clustering directed graphs: insights and applications
M Cucuringu, H Li, H Sun, L Zanetti
International Conference on Artificial Intelligence and Statistics, 983-992, 2020
572020
Fin-GAN: Forecasting and classifying financial time series via generative adversarial networks
M Vuletić, F Prenzel, M Cucuringu
Quantitative Finance, 1-25, 2024
532024
Modeling outcomes of soccer matches
A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ...
Machine Learning 108, 77-95, 2019
512019
Core–periphery structure in directed networks
A Elliott, A Chiu, M Bazzi, G Reinert, M Cucuringu
Proceedings of the Royal Society A 476 (2241), 20190783, 2020
452020
Synchronization over Z_2 and community detection in signed multiplex networks with constraints
M Cucuringu
Journal of Complex Networks 3 (3), 469-506, 2015
442015
Volatility forecasting with machine learning and intraday commonality
C Zhang, Y Zhang, M Cucuringu, Z Qian
Journal of Financial Econometrics 22 (2), 492-530, 2024
432024
Pytorch geometric signed directed: a software package on graph neural networks for signed and directed graphs
Y He, X Zhang, J Huang, B Rozemberczki, M Cucuringu, G Reinert
Learning on Graphs Conference, 12: 1-12: 27, 2024
382024
SSSNET: Semi-Supervised Signed Network Clustering
Y He, G Reinert, S Wang, M Cucuringu
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
382022
Tail-GAN: Learning to Simulate Tail Risk Scenarios
R Cont, M Cucuringu, R Xu, C Zhang
Available at SSRN 3812973, 2022
37*2022
Cross-Impact of Order Flow Imbalance in Equity Markets
R Cont, M Cucuringu, C Zhang
Quantitative Finance (forthcoming); Available at SSRN 3993561, 2022
36*2022
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Y He, Q Gan, D Wipf, GD Reinert, J Yan, M Cucuringu
International Conference on Machine Learning, 8581-8612, 2022
362022
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Straipsniai 1–20