Maria Chiara Angelini

Orcid: 0000-0002-6277-359X

According to our database1, Maria Chiara Angelini authored at least 9 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set.
Nat. Mac. Intell., January, 2023

Stochastic Gradient Descent-like relaxation is equivalent to Glauber dynamics in discrete optimization and inference problems.
CoRR, 2023

2022
Cracking nuts with a sledgehammer: when modern graph neural networks do worse than classical greedy algorithms.
CoRR, 2022

A theory explaining the limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems.
CoRR, 2022

2021
Mismatching as a tool to enhance algorithmic performances of Monte Carlo methods for the planted clique model.
CoRR, 2021

2019
Monte Carlo algorithms are very effective in finding the largest independent set in sparse random graphs.
CoRR, 2019

2018
Parallel Tempering for the planted clique problem.
CoRR, 2018

2015
Spectral detection on sparse hypergraphs.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2012
Compressed sensing with sparse, structured matrices.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012


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