ML Anthology

Cucuringu, Mihai

24 publications

JMLR 2025 Dynamic Angular Synchronization Under Smoothness Constraints Ernesto Araya, Mihai Cucuringu, Hemant Tyagi
NeurIPS 2025 On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong
MLJ 2024 Graph Similarity Learning for Change-Point Detection in Dynamic Networks Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong
ICLR 2024 Robust Angular Synchronization via Directed Graph Neural Networks Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
MLJ 2023 Local2Global: A Distributed Approach for Scaling Representation Learning on Graphs Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu
LoG 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
AAAI 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
LoG 2022 DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
LoG 2022 DIGRAC: Digraph Clustering Based on Flow Imbalance Yixuan He, Gesine Reinert, Mihai Cucuringu
ICML 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
MLJ 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
LoG 2022 MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
NeurIPSW 2022 Random Walk Based Conditional Generative Model for Temporal Networks with Attributes Stratis Limnios, Andrew Elliott, Mihai Cucuringu, Gesine Reinert
ECML-PKDD 2022 Spectral Ranking with Covariates Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic
JMLR 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
JMLR 2021 Ranking and Synchronization from Pairwise Measurements via SVD Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
JMLR 2021 Regularized Spectral Methods for Clustering Signed Networks Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
AISTATS 2020 Hermitian Matrices for Clustering Directed Graphs: Insights and Applications Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti
JMLR 2020 Provably Robust Estimation of Modulo 1 Samples of a Smooth Function with Applications to Phase Unwrapping Mihai Cucuringu, Hemant Tyagi
MLJ 2019 Correction to: Modeling Outcomes of Soccer Matches Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
MLJ 2019 Modeling Outcomes of Soccer Matches Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király
AISTATS 2019 SPONGE: A Generalized Eigenproblem for Clustering Signed Networks Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
AISTATS 2018 On Denoising Modulo 1 Samples of a Function Mihai Cucuringu, Hemant Tyagi
AISTATS 2016 Simple and Scalable Constrained Clustering: A Generalized Spectral Method Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng