Counting Primitive Partial Words. - Francine Blanchet-Sadri; Mihai Cucuringu (J. Autom. Lang. Comb., 2010)

Uniqueness of Low-Rank Matrix Completion by Rigidity Theory. - Amit Singer; Mihai Cucuringu (SIAM J. Matrix Anal. Appl., 2010)

Counting Bordered Partial Words by Critical Positions. - Emily Allen; Francine Blanchet-Sadri; Cameron Byrum; Mihai Cucuringu; Robert Mercas (Electron. J. Comb., 2011)

Localization on low-order eigenvectors of data matrices - Mihai Cucuringu; Michael W. Mahoney (CoRR, 2011)

Extracting spatial information from networks with low-order eigenvectors - Mihai Cucuringu; Vincent D. Blondel; Paul Van Dooren (CoRR, 2011)

Eigenvector Synchronization, Graph Rigidity and the Molecule Problem - Mihai Cucuringu; Amit Singer; David Cowburn (CoRR, 2011)

Sensor network localization by eigenvector synchronization over the euclidean group. - Mihai Cucuringu; Yaron Lipman; Amit Singer (ACM Trans. Sens. Networks, 2012)

ASAP: An Eigenvector Synchronization Algorithm for the Graph Realization Problem. - Mihai Cucuringu (Distance Geometry, 2013)

Density-Based and Transport-Based Core-Periphery Structures in Networks. - Sang Hoon Lee; Mihai Cucuringu; Mason A. Porter (CoRR, 2013)

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)

Ordinal embedding of unweighted kNN graphs via synchronization. - Mihai Cucuringu; Joseph Woodworth (MLSP, 2015)

Synchronization over Z2 and community detection in signed multiplex networks with constraints. - Mihai Cucuringu (J. Complex Networks, 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 multiplex signed networks with constraints. - Mihai Cucuringu (CoRR, 2015)

Simple and Scalable Constrained Clustering: a Generalized Spectral Method. - Mihai Cucuringu; Ioannis Koutis; Sanjay Chawla; Gary L. Miller; Richard Peng (AISTATS, 2016)

Scalable Constrained Clustering: A Generalized Spectral Method. - Mihai Cucuringu; Ioannis Koutis; Sanjay Chawla; Gary L. Miller; Richard Peng (CoRR, 2016)

Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and SDP Synchronization. - Mihai Cucuringu (IEEE Trans. Netw. Sci. Eng., 2016)

Rank Aggregation for Course Sequence Discovery. - Mihai Cucuringu; Charles Z. Marshak; Dillon Montag; M. Puck Rombach (COMPLEX NETWORKS, 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)

On denoising modulo 1 samples of a function. - Mihai Cucuringu; Hemant Tyagi (AISTATS, 2018)

SPONGE: A generalized eigenproblem for clustering signed networks. - Mihai Cucuringu; Peter Davies 001; Aldo Glielmo; Hemant Tyagi (AISTATS, 2019)

Mining the UK Web Archive for Semantic Change Detection. - Adam Tsakalidis; Marya Bazzi; Mihai Cucuringu; Pierpaolo Basile; Barbara McGillivray (RANLP, 2019)

Anomaly Detection in Networks with Application to Financial Transaction Networks. - Andrew Elliott; Mihai Cucuringu; Milton Martinez Luaces; Paul Reidy; Gesine Reinert (CoRR, 2019)

An MBO scheme for clustering and semi-supervised clustering of signed networks. - Mihai Cucuringu; Andrea Pizzoferrato; Yves van Gennip (CoRR, 2019)

A Deep Learning Framework for Pricing Financial Instruments. - Qiong Wu 008; Zheng Zhang 018; Andrea Pizzoferrato; Mihai Cucuringu; Zhenming Liu (CoRR, 2019)

Core-Periphery Structure in Directed Networks. - Andrew Elliott; Angus Chiu; Marya Bazzi; Gesine Reinert; Mihai Cucuringu (CoRR, 2019)

Modeling outcomes of soccer matches. - Alkeos Tsokos; Santhosh Narayanan; Ioannis Kosmidis; Gianluca Baio; Mihai Cucuringu; Gavin Whitaker; Franz J. Király (Mach. Learn., 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)

Hermitian matrices for clustering directed graphs: insights and applications. - Mihai Cucuringu; Huan Li 002; He Sun 001; Luca Zanetti (AISTATS, 2020)

Motif-based spectral clustering of weighted directed networks. - William George Underwood; Andrew Elliott; Mihai Cucuringu (Appl. Netw. Sci., 2020)

A Linear Transportation Lp Distance for Pattern Recognition. - Oliver M. Crook; Mihai Cucuringu; Tim Hurst; Carola-Bibiane Schönlieb; Matthew Thorpe; Konstantinos C. Zygalakis (CoRR, 2020)

An extension of the angular synchronization problem to the heterogeneous setting. - Mihai Cucuringu; Hemant Tyagi (CoRR, 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)

Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. - Qiong Wu 008; Christopher G. Brinton; Zheng Zhang 018; Andrea Pizzoferrato; Zhenming Liu; Mihai Cucuringu (ICAIF, 2021)

DIGRAC: Digraph Clustering with Flow Imbalance. - Yixuan He; Gesine Reinert; 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)

Local2Global: Scaling global representation learning on graphs via local training. - Lucas G. S. Jeub; Giovanni Colavizza; Xiaowen Dong 001; Marya Bazzi; Mihai Cucuringu (CoRR, 2021)

Guest Editorial: Non-IID Outlier Detection in Complex Contexts. - Guansong Pang; Fabrizio Angiulli; Mihai Cucuringu; Huan Liu 001 (IEEE Intell. Syst., 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)

Regularized spectral methods for clustering signed networks. - Mihai Cucuringu; Apoorv Vikram Singh; Déborah Sulem; Hemant Tyagi (J. Mach. Learn. Res., 2021)

Ranking and synchronization from pairwise measurements via SVD. - Alexandre d'Aspremont; Mihai Cucuringu; Hemant Tyagi (J. Mach. Learn. Res., 2021)

Dynamic Calibration of Order Flow Models with Generative Adversarial Networks. - Felix Prenzel; Rama Cont; Mihai Cucuringu; Jonathan Kochems (ICAIF, 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 (ICML, 2022)

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. - Jase Clarkson; Mihai Cucuringu; Andrew Elliott; Gesine Reinert (LoG, 2022)

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. - Yixuan He; Michael Perlmutter; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

DIGRAC: Digraph Clustering Based on Flow Imbalance. - Yixuan He; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

Spectral Ranking with Covariates. - Siu Lun Chau; Mihai Cucuringu; Dino Sejdinovic (ECML/PKDD (5), 2022)

SSSNET: Semi-Supervised Signed Network Clustering. - Yixuan He; Gesine Reinert; Songchao Wang; Mihai Cucuringu (SDM, 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)

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)

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. - Qiong Wu 008; Jian Li; Zhenming Liu; Yanhua Li; Mihai Cucuringu (AAAI, 2023)

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. - Ruikang Ouyang; Andrew Elliott; Stratis Limnios; Mihai Cucuringu; Gesine Reinert (COMPLEX NETWORKS (1), 2023)

Cryptocurrency volatility forecasting using commonality in intraday volatility. - Emmanuel Djanga; Mihai Cucuringu; Chao Zhang (ICAIF, 2023)

Correlation Matrix Clustering for Statistical Arbitrage Portfolios. - Qi Jin; Mihai Cucuringu; Álvaro Cartea (ICAIF, 2023)

Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. - Danni Shi; Jan-Peter Calliess; Mihai Cucuringu (ICAIF, 2023)

Order Flow Decomposition for Price Impact Analysis in Equity Limit Order Books. - Bogdan Sitaru; Anisoara Calinescu; Mihai Cucuringu (ICAIF, 2023)

Graph Denoising Networks: A Deep Learning Framework for Equity Portfolio Construction. - Edward Turner; Mihai Cucuringu (ICAIF, 2023)

Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models. - Yichi Zhang; Mihai Cucuringu; Alexander Y. Shestopaloff; Stefan Zohren (ICAIF, 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 (LoG, 2023)

OFTER: An Online Pipeline for Time Series Forecasting. - Nikolas Michael; Mihai Cucuringu; Sam Howison (CoRR, 2023)

Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models. - Yichi Zhang; Mihai Cucuringu; Alexander Y. Shestopaloff; Stefan Zohren (CoRR, 2023)

Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. - Chao Zhang; Xingyue Pu; Mihai Cucuringu; Xiaowen Dong 001 (CoRR, 2023)

Local2Global: a distributed approach for scaling representation learning on graphs. - Lucas G. S. Jeub; Giovanni Colavizza; Xiaowen Dong 001; Marya Bazzi; Mihai Cucuringu (Mach. Learn., 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, 2023)

Split Conformal Prediction under Data Contamination. - Jason Clarkson; Wenkai Xu; Mihai Cucuringu; Gesine Reinert (COPA, 2024)

SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. - Stratis Limnios; Praveen Selvaraj; Mihai Cucuringu; Carsten Maple; Gesine Reinert; Andrew Elliott (ECAI, 2024)

Cluster-driven Hierarchical Representation of Large Asset Universes for Optimal Portfolio Construction. - Nail Khelifa; Jérôme Allier; Mihai Cucuringu (ICAIF, 2024)

Mixtures of Experts for Scaling up Neural Networks in Order Execution. - Kang Li; Mihai Cucuringu; Leandro Sánchez-Betancourt; Timon Willi (ICAIF, 2024)

Robust Angular Synchronization via Directed Graph Neural Networks. - Yixuan He; Gesine Reinert; David Wipf; Mihai Cucuringu (ICLR, 2024)

Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering. - Mihai Cucuringu; Xiaowen Dong 001; Ning Zhang (CoRR, 2024)

Dynamic angular synchronization under smoothness constraints. - Ernesto Araya Valdivia; Mihai Cucuringu; Hemant Tyagi (CoRR, 2024)

Graph similarity learning for change-point detection in dynamic networks. - Déborah Sulem; Henry Kenlay; Mihai Cucuringu; Xiaowen Dong 001 (Mach. Learn., 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., 2024)

Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions. - Yixuan He; Aaron Sandel; David Wipf; Mihai Cucuringu; John Mitani; Gesine Reinert (CoRR, 2025)

Generalized Factor Neural Network Model for High-dimensional Regression. - Zichuan Guo; Mihai Cucuringu; Alexander Y. Shestopaloff (CoRR, 2025)

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? - Weixian Waylon Li; Hyeonjun Kim; Mihai Cucuringu; Tiejun Ma (CoRR, 2025)

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective. - Ning Zhang; Henry Kenlay; Li Zhang 131; Mihai Cucuringu; Xiaowen Dong 001 (CoRR, 2025)