Mihai Cucuringu
12 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Machine Learning
(12)
Core Methods
(9)
Optimization & Theory
(7)
Mathematics & Optimization
(6)
Mathematics
(4)
Optimization
(4)
Computer Science
(3)
Data Science & Analytics
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Deep Learning
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Artificial Intelligence
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Keywords
spectral clustering
(3)
stochastic block model
(3)
angular synchronization
(3)
smooth function
(2)
signed graph
(2)
directed graph
(2)
pairwise measurement
(2)
graph clustering
(2)
graph neural network
(2)
ensemble learning
(1)
matrix perturbation
(1)
community detection
(1)
sensor networks
(1)
graph embedding
(1)
graph laplacian
(1)
non-convex optimization
(1)
distributed learning
(1)
constrained clustering
(1)
function approximation
(1)
semidefinite programming
(1)
Papers
Dynamic angular synchronization under smoothness constraints
JMLR 2025
Robust Angular Synchronization via Directed Graph Neural Networks
ICLR 2024
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models
AAAI 2023
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
ICML 2022
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature
JMLR 2021
Ranking and synchronization from pairwise measurements via SVD
JMLR 2021
Regularized spectral methods for clustering signed networks
JMLR 2021
Hermitian matrices for clustering directed graphs: insights and applications
AISTATS 2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping
JMLR 2020
SPONGE: A generalized eigenproblem for clustering signed networks
AISTATS 2019
On denoising modulo 1 samples of a function
AISTATS 2018
Simple and Scalable Constrained Clustering: a Generalized Spectral Method
AISTATS 2016