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2020 – today
- 2024
[j20]Déborah Sulem
, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong:
Graph similarity learning for change-point detection in dynamic networks. Mach. Learn. 113(1): 1-44 (2024)- [j19]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: 110080 (2024) - [c28]Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott:
SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. ECAI 2024: 2950-2957 - [c27]Nail Khelifa, Jérôme Allier, Mihai Cucuringu:
Cluster-driven Hierarchical Representation of Large Asset Universes for Optimal Portfolio Construction. ICAIF 2024: 177-185 - [c26]Kang Li, Mihai Cucuringu, Leandro Sánchez-Betancourt, Timon Willi:
Mixtures of Experts for Scaling up Neural Networks in Order Execution. ICAIF 2024: 669-676 - [c25]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. ICLR 2024 - [i44]Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert:
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders. CoRR abs/2402.01614 (2024) - [i43]Mihai Cucuringu, Xiaowen Dong, Ning Zhang:
Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering. CoRR abs/2403.19516 (2024) - [i42]Ernesto Araya Valdivia, Mihai Cucuringu, Hemant Tyagi:
Dynamic angular synchronization under smoothness constraints. CoRR abs/2406.04071 (2024) - [i41]Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert:
Split Conformal Prediction under Data Contamination. CoRR abs/2407.07700 (2024) - 2023
- [j18]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) - [j17]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): 1663-1692 (2023) - [c24]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: 10361-10369 - [c23]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: 400-412 - [c22]Edward Turner, Mihai Cucuringu:
Graph Denoising Networks: A Deep Learning Framework for Equity Portfolio Construction. ICAIF 2023: 193-201 - [c21]Emmanuel Djanga, Mihai Cucuringu, Chao Zhang:
Cryptocurrency volatility forecasting using commonality in intraday volatility. ICAIF 2023: 436-444 - [c20]Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren:
Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models. ICAIF 2023: 454-462 - [c19]Danni Shi, Jan-Peter Calliess, Mihai Cucuringu:
Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. ICAIF 2023: 507-515 - [c18]Qi Jin, Mihai Cucuringu, Álvaro Cartea:
Correlation Matrix Clustering for Statistical Arbitrage Portfolios. ICAIF 2023: 557-564 - [c17]Bogdan Sitaru, Anisoara Calinescu, Mihai Cucuringu:
Order Flow Decomposition for Price Impact Analysis in Equity Limit Order Books. ICAIF 2023: 637-645 - [c16]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: 12 - [i40]Nikolas Michael, Mihai Cucuringu, Sam Howison:
OFTER: An Online Pipeline for Time Series Forecasting. CoRR abs/2304.03877 (2023) - [i39]Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff, Stefan Zohren:
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models. CoRR abs/2305.06704 (2023) - [i38]Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott:
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. CoRR abs/2306.16827 (2023) - [i37]Chao Zhang, Xingyue Pu, Mihai Cucuringu, Xiaowen Dong:
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. CoRR abs/2308.01419 (2023) - [i36]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. CoRR abs/2310.05842 (2023) - 2022
- [j16]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): 4497-4538 (2022) - [c15]Felix Prenzel, Rama Cont, Mihai Cucuringu, Jonathan Kochems:
Dynamic Calibration of Order Flow Models with Generative Adversarial Networks. ICAIF 2022: 446-453 - [c14]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: 8581-8612 - [c13]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG 2022: 21 - [c12]Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert:
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. LoG 2022: 23 - [c11]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG 2022: 40 - [c10]Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic:
Spectral Ranking with Covariates. ECML/PKDD (5) 2022: 70-86 - [c9]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. SDM 2022: 244-252 - [i35]Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: A distributed approach for scaling representation learning on graphs. CoRR abs/2201.04729 (2022) - [i34]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 abs/2201.08283 (2022) - [i33]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 abs/2202.00211 (2022) - [i32]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 abs/2202.10793 (2022) - [i31]Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert:
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series. CoRR abs/2203.15009 (2022) - [i30]Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong:
Graph similarity learning for change-point detection in dynamic networks. CoRR abs/2203.15470 (2022) - [i29]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR abs/2209.00546 (2022) - [i28]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 abs/2212.00852 (2022) - 2021
- [j15]Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j14]Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi:
Ranking and synchronization from pairwise measurements via SVD. J. Mach. Learn. Res. 22: 19:1-19:63 (2021) - [j13]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: 230:1-230:64 (2021) - [j12]Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi:
Regularized spectral methods for clustering signed networks. J. Mach. Learn. Res. 22: 264:1-264:79 (2021) - [c8]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: 44:1-44:9 - [i27]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering with Flow Imbalance. CoRR abs/2106.05194 (2021) - [i26]Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray:
DUKweb: Diachronic word representations from the UK Web Archive corpus. CoRR abs/2107.01076 (2021) - [i25]Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: Scaling global representation learning on graphs via local training. CoRR abs/2107.12224 (2021) - [i24]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. CoRR abs/2110.06623 (2021) - 2020
- [j11]William George Underwood, Andrew Elliott, Mihai Cucuringu:
Motif-based spectral clustering of weighted directed networks. Appl. Netw. Sci. 5(1): 62 (2020) - [j10]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: 32:1-32:77 (2020) - [c7]Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti:
Hermitian matrices for clustering directed graphs: insights and applications. AISTATS 2020: i - [i23]William George Underwood, Andrew Elliott, Mihai Cucuringu:
Motif-Based Spectral Clustering of Weighted Directed Networks. CoRR abs/2004.01293 (2020) - [i22]Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic:
Spectral Ranking with Covariates. CoRR abs/2005.04035 (2020) - [i21]Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
A Linear Transportation Lp Distance for Pattern Recognition. CoRR abs/2009.11262 (2020) - [i20]Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi:
Regularized spectral methods for clustering signed networks. CoRR abs/2011.01737 (2020) - [i19]Mihai Cucuringu, Hemant Tyagi:
An extension of the angular synchronization problem to the heterogeneous setting. CoRR abs/2012.14932 (2020)
2010 – 2019
- 2019
- [j9]Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király:
Modeling outcomes of soccer matches. Mach. Learn. 108(1): 77-95 (2019) - [j8]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): 377-378 (2019) - [c6]Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi:
SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS 2019: 1088-1098 - [c5]Adam Tsakalidis, Marya Bazzi, Mihai Cucuringu, Pierpaolo Basile, Barbara McGillivray:
Mining the UK Web Archive for Semantic Change Detection. RANLP 2019: 1212-1221 - [i18]Andrew Elliott, Mihai Cucuringu, Milton Martinez Luaces, Paul Reidy, Gesine Reinert:
Anomaly Detection in Networks with Application to Financial Transaction Networks. CoRR abs/1901.00402 (2019) - [i17]Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip:
An MBO scheme for clustering and semi-supervised clustering of signed networks. CoRR abs/1901.03091 (2019) - [i16]Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi:
SPONGE: A generalized eigenproblem for clustering signed networks. CoRR abs/1904.08575 (2019) - [i15]Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi:
Ranking and synchronization from pairwise measurements via SVD. CoRR abs/1906.02746 (2019) - [i14]Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti:
Hermitian matrices for clustering directed graphs: insights and applications. CoRR abs/1908.02096 (2019) - [i13]Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu:
A Deep Learning Framework for Pricing Financial Instruments. CoRR abs/1909.04497 (2019) - [i12]Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu:
Core-Periphery Structure in Directed Networks. CoRR abs/1912.00984 (2019) - 2018
- [c4]Mihai Cucuringu, Hemant Tyagi:
On denoising modulo 1 samples of a function. AISTATS 2018: 1868-1876 - 2017
- [j7]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) - [c3]Mihai Cucuringu, Charles Z. Marshak, Dillon Montag, M. Puck Rombach:
Rank Aggregation for Course Sequence Discovery. COMPLEX NETWORKS 2017: 139-150 - 2016
- [j6]Mihai Cucuringu:
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and SDP Synchronization. IEEE Trans. Netw. Sci. Eng. 3(1): 58-79 (2016) - [c2]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Simple and Scalable Constrained Clustering: a Generalized Spectral Method. AISTATS 2016: 445-454 - [i11]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Scalable Constrained Clustering: A Generalized Spectral Method. CoRR abs/1601.04746 (2016) - [i10]Mihai Cucuringu, Charlie Z. Marshak, Dillon Montag, M. Puck Rombach:
Rank Aggregation for Course Sequence Discovery. CoRR abs/1603.02695 (2016) - 2015
- [j5]Mihai Cucuringu:
Synchronization over Z2 and community detection in signed multiplex networks with constraints. J. Complex Networks 3(3): 469-506 (2015) - [c1]Mihai Cucuringu, Joseph Woodworth:
Ordinal embedding of unweighted kNN graphs via synchronization. MLSP 2015: 1-6 - [i9]Mihai Cucuringu:
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and Semidefinite Programming Synchronization. CoRR abs/1504.01070 (2015) - [i8]Mihai Cucuringu, Radek Erban:
ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data. CoRR abs/1504.01786 (2015) - [i7]Mihai Cucuringu:
Synchronization over Z2 and community detection in multiplex signed networks with constraints. CoRR abs/1504.04061 (2015) - 2014
- [i6]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 abs/1410.6572 (2014) - 2013
- [p1]Mihai Cucuringu:
ASAP: An Eigenvector Synchronization Algorithm for the Graph Realization Problem. Distance Geometry 2013: 177-195 - [i5]Sang Hoon Lee, Mihai Cucuringu, Mason A. Porter:
Density-Based and Transport-Based Core-Periphery Structures in Networks. CoRR abs/1310.8387 (2013) - 2012
- [j4]Mihai Cucuringu, Yaron Lipman, Amit Singer:
Sensor network localization by eigenvector synchronization over the euclidean group. ACM Trans. Sens. Networks 8(3): 19:1-19:42 (2012) - 2011
- [j3]Emily Allen, Francine Blanchet-Sadri, Cameron Byrum, Mihai Cucuringu, Robert Mercas:
Counting Bordered Partial Words by Critical Positions. Electron. J. Comb. 18(1) (2011) - [i4]Mihai Cucuringu, Michael W. Mahoney:
Localization on low-order eigenvectors of data matrices. CoRR abs/1109.1355 (2011) - [i3]Mihai Cucuringu, Vincent D. Blondel, Paul Van Dooren:
Extracting spatial information from networks with low-order eigenvectors. CoRR abs/1111.0920 (2011) - [i2]Mihai Cucuringu, Amit Singer, David Cowburn:
Eigenvector Synchronization, Graph Rigidity and the Molecule Problem. CoRR abs/1111.3304 (2011) - 2010
- [j2]Francine Blanchet-Sadri, Mihai Cucuringu:
Counting Primitive Partial Words. J. Autom. Lang. Comb. 15(3/4): 199-227 (2010) - [j1]Amit Singer, Mihai Cucuringu:
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory. SIAM J. Matrix Anal. Appl. 31(4): 1621-1641 (2010)
2000 – 2009
- 2009
- [i1]Amit Singer, Mihai Cucuringu:
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory. CoRR abs/0902.3846 (2009)
Coauthor Index
Gesine Reinert
aka: Gesine D. Reinert
aka: Gesine D. Reinert
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