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ORCIDHermina Petric Maretic
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2020 – today
- 2024
[i9]Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada:
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework. CoRR abs/2407.10793 (2024)- 2022
- [j3]Ilaria Ricchi, Anjali Tarun, Hermina Petric Maretic, Pascal Frossard, Dimitri Van De Ville:
Dynamics of functional network organization through graph mixture learning. NeuroImage 252: 119037 (2022) - [j2]Hermina Petric Maretic
, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8: 353-363 (2022) - [c7]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI 2022: 7710-7718 - 2021
- [b1]Hermina Petric Maretic:
Representing graphs through data with learning and optimal transport. EPFL, Switzerland, 2021 - [i8]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR abs/2109.04442 (2021) - 2020
- [j1]Hermina Petric Maretic, Pascal Frossard:
Graph Laplacian Mixture Model. IEEE Trans. Signal Inf. Process. over Networks 6: 261-270 (2020) - [c6]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP 2020: 5405-5409 - [i7]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-based Graph Alignment. CoRR abs/2003.06048 (2020)
2010 – 2019
- 2019
- [c5]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. NeurIPS 2019: 13876-13887 - [i6]Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard:
Graph heat mixture model learning. CoRR abs/1901.08585 (2019) - [i5]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. CoRR abs/1906.02085 (2019) - [i4]Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR abs/1909.11448 (2019) - 2018
- [c4]Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard:
Graph Heat Mixture Model Learning. ACSSC 2018: 1003-1007 - [c3]Stefan Vlaski, Hermina Petric Maretic, Roula Nassif, Pascal Frossard, Ali H. Sayed:
Online Graph Learning from Sequential Data. DSW 2018: 190-194 - [i3]Hermina Petric Maretic, Pascal Frossard:
Graph Laplacian mixture model. CoRR abs/1810.10053 (2018) - [i2]Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee, Pascal Frossard:
Supervised Linear Regression for Graph Learning from Graph Signals. CoRR abs/1811.01586 (2018) - 2017
- [c2]Hermina Petric Maretic, Dorina Thanou, Pascal Frossard:
Graph learning under sparsity priors. ICASSP 2017: 6523-6527 - [i1]Hermina Petric Maretic, Dorina Thanou, Pascal Frossard:
Graph learning under sparsity priors. CoRR abs/1707.05587 (2017) - 2015
- [c1]Hermina Petric Maretic, Ante Grbic:
A heuristics approach to Hamiltonian completion problem (HCP). MIPRO 2015: 1607-1612
Coauthor Index
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