Hermina Petric Maretic

According to our database, Hermina Petric Maretic authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework.

Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

2022

Wasserstein-Based Graph Alignment.

Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2022

Dynamics of functional network organization through graph mixture learning.

Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville

NeuroImage, 2022

fGOT: Graph Distances Based on Filters and Optimal Transport.

Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Representing graphs through data with learning and optimal transport.

Hermina Petric Maretic

PhD thesis, 2021

2020

Graph Laplacian Mixture Model.

Hermina Petric Maretic, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2020

Forward-Backward Splitting for Optimal Transport Based Problems.

Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

CDOT: Continuous Domain Adaptation using Optimal Transport.

Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard

CoRR, 2019

GOT: An Optimal Transport framework for Graph comparison.

Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Supervised Linear Regression for Graph Learning from Graph Signals.

Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee, Pascal Frossard

CoRR, 2018

Online Graph Learning from Sequential Data.

Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Graph Heat Mixture Model Learning.

Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Graph learning under sparsity priors.

Hermina Petric Maretic, Dorina Thanou, Pascal Frossard

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

A heuristics approach to Hamiltonian completion problem (HCP).

Hermina Petric Maretic, Ante Grbic

Proceedings of the 38th International Convention on Information and Communication Technology, 2015