Mihai Cucuringu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 74

Top Topics

Rank Aggregation

Pairwise Comparison

Top Venues

Publications

Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong
Graph similarity learning for change-point detection in dynamic networks. Mach. Learn. 113 (1) (2024)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
A linear transportation Lp distance for pattern recognition. Pattern Recognit. 147 (2024)
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
Robust Angular Synchronization via Directed Graph Neural Networks. ICLR (2024)
Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR (2024)
Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert
Split Conformal Prediction under Data Contamination. CoRR (2024)
Ernesto Araya Valdivia, Mihai Cucuringu, Hemant Tyagi
Dynamic angular synchronization under smoothness constraints. CoRR (2024)
Mihai Cucuringu, Xiaowen Dong, Ning Zhang
Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering. CoRR (2024)
Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models. CoRR (2023)
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
Robust Angular Synchronization via Directed Graph Neural Networks. CoRR (2023)
Nikolas Michael, Mihai Cucuringu, Sam Howison
OFTER: An Online Pipeline for Time Series Forecasting. CoRR (2023)
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG (2023)
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu
Local2Global: a distributed approach for scaling representation learning on graphs. Mach. Learn. 112 (5) (2023)
Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. AAAI (2023)
Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos, Gesine Reinert
The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights. J. Complex Networks 11 (6) (2023)
Danni Shi, Jan-Peter Calliess, Mihai Cucuringu
Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. ICAIF (2023)
Bogdan Sitaru, Anisoara Calinescu, Mihai Cucuringu
Order Flow Decomposition for Price Impact Analysis in Equity Limit Order Books. ICAIF (2023)
Chao Zhang, Xingyue Pu, Mihai Cucuringu, Xiaowen Dong
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. CoRR (2023)
Emmanuel Djanga, Mihai Cucuringu, Chao Zhang
Cryptocurrency volatility forecasting using commonality in intraday volatility. ICAIF (2023)
Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. COMPLEX NETWORKS (1) (2023)
Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren
Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models. ICAIF (2023)
Qi Jin, Mihai Cucuringu, Álvaro Cartea
Correlation Matrix Clustering for Statistical Arbitrage Portfolios. ICAIF (2023)
Edward Turner, Mihai Cucuringu
Graph Denoising Networks: A Deep Learning Framework for Equity Portfolio Construction. ICAIF (2023)
Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR (2023)
Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic
Spectral Ranking with Covariates. ECML/PKDD (5) (2022)
Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG (2022)
Felix Prenzel, Rama Cont, Mihai Cucuringu, Jonathan Kochems
Dynamic Calibration of Order Flow Models with Generative Adversarial Networks. ICAIF (2022)
Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong
Graph similarity learning for change-point detection in dynamic networks. CoRR (2022)
Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. Mach. Learn. 111 (12) (2022)
Yixuan He, Michael Permultter, Gesine Reinert, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR (2022)
Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG (2022)
Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR (2022)
Yixuan He, Gesine Reinert, Mihai Cucuringu
DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG (2022)
Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR (2022)
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu
Local2Global: A distributed approach for scaling representation learning on graphs. CoRR (2022)
Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models. CoRR (2022)
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
SSSNET: Semi-Supervised Signed Network Clustering. SDM (2022)
Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML (2022)
Stefanos Bennett, Mihai Cucuringu, Gesine Reinert
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market. CoRR (2022)
Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR (2022)
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
SSSNET: Semi-Supervised Signed Network Clustering. CoRR (2021)
Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu
Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. ICAIF (2021)
Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray
DUKweb: Diachronic word representations from the UK Web Archive corpus. CoRR (2021)
Yixuan He, Gesine Reinert, Mihai Cucuringu
DIGRAC: Digraph Clustering with Flow Imbalance. CoRR (2021)
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
Ranking and synchronization from pairwise measurements via SVD. J. Mach. Learn. Res. 22 (2021)
Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36 (3) (2021)
Stéphane Chrétien, Mihai Cucuringu, Guillaume Lecué, Lucie Neirac
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature. J. Mach. Learn. Res. 22 (2021)
Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
Regularized spectral methods for clustering signed networks. J. Mach. Learn. Res. 22 (2021)
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu
Local2Global: Scaling global representation learning on graphs via local training. CoRR (2021)
Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic
Spectral Ranking with Covariates. CoRR (2020)
Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
Regularized spectral methods for clustering signed networks. CoRR (2020)
William George Underwood, Andrew Elliott, Mihai Cucuringu
Motif-based spectral clustering of weighted directed networks. Appl. Netw. Sci. 5 (1) (2020)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
Distance for Pattern Recognition. CoRR (2020)
Mihai Cucuringu, Hemant Tyagi
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. J. Mach. Learn. Res. 21 (2020)
Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti
Hermitian matrices for clustering directed graphs: insights and applications. AISTATS (2020)
William George Underwood, Andrew Elliott, Mihai Cucuringu
Motif-Based Spectral Clustering of Weighted Directed Networks. CoRR (2020)
Mihai Cucuringu, Hemant Tyagi
An extension of the angular synchronization problem to the heterogeneous setting. CoRR (2020)
Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS (2019)
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
Correction to: Modeling outcomes of soccer matches. Mach. Learn. 108 (2) (2019)
Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti
Hermitian matrices for clustering directed graphs: insights and applications. CoRR (2019)
Adam Tsakalidis, Marya Bazzi, Mihai Cucuringu, Pierpaolo Basile, Barbara McGillivray
Mining the UK Web Archive for Semantic Change Detection. RANLP (2019)
Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu
A Deep Learning Framework for Pricing Financial Instruments. CoRR (2019)
Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert
Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR (2019)
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
Ranking and synchronization from pairwise measurements via SVD. CoRR (2019)
Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
SPONGE: A generalized eigenproblem for clustering signed networks. CoRR (2019)
Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip
An MBO scheme for clustering and semi-supervised clustering of signed networks. CoRR (2019)
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
Modeling outcomes of soccer matches. Mach. Learn. 108 (1) (2019)
Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
Core-Periphery Structure in Directed Networks. CoRR (2019)
Mihai Cucuringu, Hemant Tyagi
On denoising modulo 1 samples of a function. AISTATS (2018)
Mihai Cucuringu, Charles Z. Marshak, Dillon Montag, M. Puck Rombach
Rank Aggregation for Course Sequence Discovery. COMPLEX NETWORKS (2017)
Mihai Cucuringu, Radek Erban
ADM-CLE Approach for Detecting Slow Variables in Continuous Time Markov Chains and Dynamic Data. SIAM J. Sci. Comput. 39 (1) (2017)
Mihai Cucuringu, Charlie Z. Marshak, Dillon Montag, M. Puck Rombach
Rank Aggregation for Course Sequence Discovery. CoRR (2016)
Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng
Simple and Scalable Constrained Clustering: a Generalized Spectral Method. AISTATS (2016)
Mihai Cucuringu
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and SDP Synchronization. IEEE Trans. Netw. Sci. Eng. 3 (1) (2016)
Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng
Scalable Constrained Clustering: A Generalized Spectral Method. CoRR (2016)
Mihai Cucuringu
Synchronization over Z2 and community detection in signed multiplex networks with constraints. J. Complex Networks 3 (3) (2015)
Mihai Cucuringu
and community detection in multiplex signed networks with constraints. CoRR (2015)
Mihai Cucuringu, Joseph Woodworth
Ordinal embedding of unweighted kNN graphs via synchronization. MLSP (2015)
Mihai Cucuringu
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and Semidefinite Programming Synchronization. CoRR (2015)
Mihai Cucuringu, Radek Erban
ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data. CoRR (2015)
Mihai Cucuringu, M. Puck Rombach, Sang Hoon Lee, Mason A. Porter
Detection of Core-Periphery Structure in Networks Using Spectral Methods and Geodesic Paths. CoRR (2014)
Sang Hoon Lee, Mihai Cucuringu, Mason A. Porter
Density-Based and Transport-Based Core-Periphery Structures in Networks. CoRR (2013)
Mihai Cucuringu, Yaron Lipman, Amit Singer
Sensor network localization by eigenvector synchronization over the euclidean group. ACM Trans. Sens. Networks 8 (3) (2012)
Mihai Cucuringu, Michael W. Mahoney
Localization on low-order eigenvectors of data matrices CoRR (2011)
Mihai Cucuringu, Vincent D. Blondel, Paul Van Dooren
Extracting spatial information from networks with low-order eigenvectors CoRR (2011)
Mihai Cucuringu, Amit Singer, David Cowburn
Eigenvector Synchronization, Graph Rigidity and the Molecule Problem CoRR (2011)
Emily Allen, Francine Blanchet-Sadri, Cameron Byrum, Mihai Cucuringu, Robert Mercas
Counting Bordered Partial Words by Critical Positions. Electron. J. Comb. 18 (1) (2011)
Amit Singer, Mihai Cucuringu
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory. SIAM J. Matrix Anal. Appl. 31 (4) (2010)
Francine Blanchet-Sadri, Mihai Cucuringu
Counting Primitive Partial Words. J. Autom. Lang. Comb. 15 (3/4) (2010)
Amit Singer, Mihai Cucuringu
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory CoRR (2009)