Mihai Cucuringu

According to our database, Mihai Cucuringu authored at least 73 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A linear transportation Lp distance for pattern recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

Pattern Recognit., March, 2024

Graph similarity learning for change-point detection in dynamic networks.

Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong

Mach. Learn., January, 2024

Split Conformal Prediction under Data Contamination.

Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert

CoRR, 2024

Dynamic angular synchronization under smoothness constraints.

Ernesto Araya Valdivia, Mihai Cucuringu, Hemant Tyagi

CoRR, 2024

Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering.

Mihai Cucuringu, Xiaowen Dong, Ning Zhang

CoRR, 2024

Robust Angular Synchronization via Directed Graph Neural Networks.

Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mixtures of Experts for Scaling up Neural Networks in Order Execution.

Kang Li, Mihai Cucuringu, Leandro Sánchez-Betancourt, Timon Willi

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Cluster-driven Hierarchical Representation of Large Asset Universes for Optimal Portfolio Construction.

Nail Khelifa, Jérôme Allier, Mihai Cucuringu

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation.

Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights.

Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos, Gesine Reinert

J. Complex Networks, November, 2023

Local2Global: a distributed approach for scaling representation learning on graphs.

Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu

Mach. Learn., May, 2023

Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects.

Chao Zhang, Xingyue Pu, Mihai Cucuringu, Xiaowen Dong

CoRR, 2023

Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models.

Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren

CoRR, 2023

OFTER: An Online Pipeline for Time Series Forecasting.

Nikolas Michael, Mihai Cucuringu, Sam Howison

CoRR, 2023

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models.

Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Graph Denoising Networks: A Deep Learning Framework for Equity Portfolio Construction.

Edward Turner, Mihai Cucuringu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Order Flow Decomposition for Price Impact Analysis in Equity Limit Order Books.

Bogdan Sitaru, Anisoara Calinescu, Mihai Cucuringu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading.

Danni Shi, Jan-Peter Calliess, Mihai Cucuringu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Correlation Matrix Clustering for Statistical Arbitrage Portfolios.

Qi Jin, Mihai Cucuringu, Álvaro Cartea

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Cryptocurrency volatility forecasting using commonality in intraday volatility.

Emmanuel Djanga, Mihai Cucuringu, Chao Zhang

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders.

Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert

Proceedings of the Complex Networks & Their Applications XII, 2023

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models.

Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Lead-lag detection and network clustering for multivariate time series with an application to the US equity market.

Stefanos Bennett, Mihai Cucuringu, Gesine Reinert

Mach. Learn., 2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert

CoRR, 2022

SSSNET: Semi-Supervised Signed Network Clustering.

Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Spectral Ranking with Covariates.

Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DIGRAC: Digraph Clustering Based on Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.

Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.

Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu

Proceedings of the International Conference on Machine Learning, 2022

Dynamic Calibration of Order Flow Models with Generative Adversarial Networks.

Felix Prenzel, Rama Cont, Mihai Cucuringu, Jonathan Kochems

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Ranking and synchronization from pairwise measurements via SVD.

Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi

J. Mach. Learn. Res., 2021

Regularized spectral methods for clustering signed networks.

Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi

J. Mach. Learn. Res., 2021

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature.

Stéphane Chrétien, Mihai Cucuringu, Guillaume Lecué, Lucie Neirac

J. Mach. Learn. Res., 2021

Guest Editorial: Non-IID Outlier Detection in Complex Contexts.

Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu

IEEE Intell. Syst., 2021

Local2Global: Scaling global representation learning on graphs via local training.

Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu

CoRR, 2021

DUKweb: Diachronic word representations from the UK Web Archive corpus.

Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray

CoRR, 2021

DIGRAC: Digraph Clustering with Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

CoRR, 2021

Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing.

Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping.

Mihai Cucuringu, Hemant Tyagi

J. Mach. Learn. Res., 2020

An extension of the angular synchronization problem to the heterogeneous setting.

Mihai Cucuringu, Hemant Tyagi

CoRR, 2020

A Linear Transportation L^p Distance for Pattern Recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

CoRR, 2020

Motif-based spectral clustering of weighted directed networks.

William George Underwood, Andrew Elliott, Mihai Cucuringu

Appl. Netw. Sci., 2020

Hermitian matrices for clustering directed graphs: insights and applications.

Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Correction to: Modeling outcomes of soccer matches.

Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király

Mach. Learn., 2019

Modeling outcomes of soccer matches.

Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király

Mach. Learn., 2019

Core-Periphery Structure in Directed Networks.

Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu

CoRR, 2019

A Deep Learning Framework for Pricing Financial Instruments.

Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu

CoRR, 2019

An MBO scheme for clustering and semi-supervised clustering of signed networks.

Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip

CoRR, 2019

Anomaly Detection in Networks with Application to Financial Transaction Networks.

Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert

CoRR, 2019

Mining the UK Web Archive for Semantic Change Detection.

Adam Tsakalidis, Marya Bazzi, Mihai Cucuringu, Pierpaolo Basile, Barbara McGillivray

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

SPONGE: A generalized eigenproblem for clustering signed networks.

Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On denoising modulo 1 samples of a function.

Mihai Cucuringu, Hemant Tyagi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

ADM-CLE Approach for Detecting Slow Variables in Continuous Time Markov Chains and Dynamic Data.

Mihai Cucuringu, Radek Erban

SIAM J. Sci. Comput., 2017

Rank Aggregation for Course Sequence Discovery.

Mihai Cucuringu, Charles Z. Marshak, Dillon Montag, M. Puck Rombach

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and SDP Synchronization.

Mihai Cucuringu

IEEE Trans. Netw. Sci. Eng., 2016

Scalable Constrained Clustering: A Generalized Spectral Method.

Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng

CoRR, 2016

Simple and Scalable Constrained Clustering: a Generalized Spectral Method.

Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Synchronization over Z₂ and community detection in multiplex signed networks with constraints.

Mihai Cucuringu

CoRR, 2015

Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and Semidefinite Programming Synchronization.

Mihai Cucuringu

CoRR, 2015

Synchronization over Z2 and community detection in signed multiplex networks with constraints.

Mihai Cucuringu

J. Complex Networks, 2015

Ordinal embedding of unweighted kNN graphs via synchronization.

Mihai Cucuringu, Joseph Woodworth

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Detection of Core-Periphery Structure in Networks Using Spectral Methods and Geodesic Paths.

Mihai Cucuringu, M. Puck Rombach, Sang Hoon Lee, Mason A. Porter

CoRR, 2014

2013

Density-Based and Transport-Based Core-Periphery Structures in Networks.

Sang Hoon Lee, Mihai Cucuringu, Mason A. Porter

CoRR, 2013

ASAP: An Eigenvector Synchronization Algorithm for the Graph Realization Problem.

Mihai Cucuringu

Proceedings of the Distance Geometry: Theory, Methods, and Applications, 2013

2012

Sensor network localization by eigenvector synchronization over the euclidean group.

Mihai Cucuringu, Yaron Lipman, Amit Singer

ACM Trans. Sens. Networks, 2012

2011

Eigenvector Synchronization, Graph Rigidity and the Molecule Problem

Mihai Cucuringu, Amit Singer, David Cowburn

CoRR, 2011

Extracting spatial information from networks with low-order eigenvectors

Mihai Cucuringu, Vincent D. Blondel, Paul Van Dooren

CoRR, 2011

Localization on low-order eigenvectors of data matrices

Mihai Cucuringu, Michael W. Mahoney

CoRR, 2011

Counting Bordered Partial Words by Critical Positions.

Emily Allen, Francine Blanchet-Sadri, Cameron Byrum, Mihai Cucuringu, Robert Mercas

Electron. J. Comb., 2011

2010

Uniqueness of Low-Rank Matrix Completion by Rigidity Theory.

Amit Singer, Mihai Cucuringu

SIAM J. Matrix Anal. Appl., 2010

Counting Primitive Partial Words.

Francine Blanchet-Sadri, Mihai Cucuringu

J. Autom. Lang. Comb., 2010