Publications
Also on Google Scholar. Author names in bold are mine.
2026
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
Published as: Advances in Information Retrieval – 48th ECIR 2026, Part I, LNCS 16483, pp. 115–130 arXiv code
BibTeX
@misc{moslonka2025learnedhallucinationdetectionblackbox,
title={Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate},
author={Charles Moslonka and Hicham Randrianarivo and Arthur Garnier and Emmanuel Malherbe},
year={2025},
eprint={2509.04492},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2509.04492},
note={Published as: Advances in Information Retrieval -- 48th ECIR 2026, Part I, LNCS 16483, pp. 115--130},
sortyear={2026},
code={https://github.com/artefactory/artefactual}
}LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction
Accepted at CIKM 2026, Resource Track arXiv code
BibTeX
@misc{moslonka2026ledger,
title={LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction},
author={Charles Moslonka and Amaury de Vitry and Arthur Garnier and Hicham Randrianarivo and Emmanuel Malherbe},
year={2026},
eprint={2606.13100},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2606.13100},
note={Accepted at CIKM 2026, Resource Track},
code={https://github.com/artefactory/LEDGER}
}2021
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
ECML-PKDD 3rd Workshop on Graph Embedding and Mining (GEM) arXiv DOI
BibTeX
@inproceedings{dang2021web,
title={Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree},
author={Dang, Chen and Randrianarivo, Hicham and Fournier-S'Niehotta, Rapha{\"e}l and Audebert, Nicolas},
booktitle={Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021},
series={Communications in Computer and Information Science},
volume={1524},
pages={258--267},
publisher={Springer},
year={2021},
doi={10.1007/978-3-030-93736-2_20},
eprint={2108.11629},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2108.11629},
note={ECML-PKDD 3rd Workshop on Graph Embedding and Mining (GEM)}
}2020
Graphcore C2 Card performance for image-based deep learning application: A Report
arXiv preprint, 2020 arXiv
BibTeX
@misc{kacher2020graphcore,
title={Graphcore C2 Card performance for image-based deep learning application: A Report},
author={Ilyes Kacher and Maxime Portaz and Hicham Randrianarivo and Sylvain Peyronnet},
year={2020},
eprint={2002.11670},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2002.11670}
}QISS: An Open Source Image Similarity Search Engine
Advances in Information Retrieval, Springer International Publishing, 12036, 2020, pp. 486–490 DOI
BibTeX
@inproceedings{portaz2020qiss,
title={QISS: An Open Source Image Similarity Search Engine},
author={Portaz, Maxime and Nivaggioli, Adrien and Randrianarivo, Hicham and Kacher, Ilyes and Peyronnet, Sylvain},
booktitle={Advances in Information Retrieval},
series={Lecture Notes in Computer Science},
volume={12036},
address={Lisbon, Portugal},
month=apr,
pages={486--490},
year={2020},
publisher={Springer International Publishing},
doi={10.1007/978-3-030-45442-5_63}
}2019
Christchurch Aerial Semantic Dataset
Dataset, December 2019 DOI
BibTeX
@misc{le_saux_bertrand_2019_3566005,
author = {Le Saux, Bertrand and
Randrianarivo, Hicham and
Audebert, Nicolas},
title = {Christchurch Aerial Semantic Dataset},
month = dec,
year = 2019,
doi = {10.5281/zenodo.3566005},
url = {https://doi.org/10.5281/zenodo.3566005}
}Image search using multilingual texts: a cross-modal learning approach between image and text
arXiv preprint, 2019 arXiv
BibTeX
@misc{portaz2019image,
title={Image search using multilingual texts: a cross-modal learning approach between image and text},
author={Maxime Portaz and Hicham Randrianarivo and Adrien Nivaggioli and Estelle Maudet and Christophe Servan and Sylvain Peyronnet},
year={2019},
eprint={1903.11299},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/1903.11299}
}Weakly supervised semantic segmentation of satellite images
2019 Joint urban remote sensing event (JURSE), IEEE, 2019, pp. 1–4 arXiv DOI
BibTeX
@inproceedings{nivaggioli2019weakly,
title={Weakly supervised semantic segmentation of satellite images},
author={Nivaggioli, Adrien and Randrianarivo, Hicham},
booktitle={2019 Joint urban remote sensing event (JURSE)},
address={Vannes, France},
month=may,
pages={1--4},
year={2019},
organization={IEEE},
doi={10.1109/JURSE.2019.8809060},
eprint={1904.03983},
archivePrefix={arXiv},
url={https://arxiv.org/abs/1904.03983}
}2017
Deep learning for urban remote sensing
2017 Joint Urban Remote Sensing Event (JURSE), IEEE, 2017, pp. 1–4 DOI
BibTeX
@inproceedings{audebert2017deep,
title={Deep learning for urban remote sensing},
author={Audebert, Nicolas and Boulch, Alexandre and Randrianarivo, Hicham and Le Saux, Bertrand and Ferecatu, Marin and Lef{\`e}vre, S{\'e}bastien and Marlet, Renaud},
booktitle={2017 Joint Urban Remote Sensing Event (JURSE)},
address={Dubai, UAE},
month=mar,
pages={1--4},
year={2017},
organization={IEEE},
doi={10.1109/JURSE.2017.7924536}
}2016
Apprentissage statistique de classes sémantiques pour l’interprétation d’images aériennes
PhD thesis, Conservatoire national des arts et métiers, Paris, France, 2016
BibTeX
@phdthesis{randrianarivo2016apprentissage,
title={Apprentissage statistique de classes s{\'e}mantiques pour l'interpr{\'e}tation d'images a{\'e}riennes},
author={Randrianarivo, Hicham},
year={2016},
school={Conservatoire national des arts et m{\'e}tiers, Paris, France},
note={PhD thesis},
url={https://tel.archives-ouvertes.fr/tel-01482119}
}Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest – part A: 2-D contest
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(12), 2016, pp. 5547–5559 DOI
BibTeX
@article{campos2016processing,
title={Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest -- part A: 2-D contest},
author={Campos-Taberner, Manuel and Romero-Soriano, Adriana and Gatta, Carlo and Camps-Valls, Gustau and Lagrange, Adrien and Le Saux, Bertrand and Beaup{\`e}re, Anne and Boulch, Alexandre and Chan-Hon-Tong, Adrien and Herbin, St{\'e}phane and others},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume={9},
number={12},
pages={5547--5559},
year={2016},
doi={10.1109/JSTARS.2016.2569162}
}Structural classifiers for contextual semantic labeling of aerial images
ESA Big Data from Space (BiDS’16), 2016
BibTeX
@inproceedings{randrianarivo2016structural,
title={Structural classifiers for contextual semantic labeling of aerial images},
author={Randrianarivo, Hicham and Le Saux, Bertrand and Audebert, Nicolas and Crucianu, Michel and Ferecatu, Marin},
booktitle={ESA Big Data from Space (BiDS'16)},
address={Santa Cruz de Tenerife, Spain},
month=mar,
year={2016}
}2015
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2015, pp. 4173–4176 DOI
BibTeX
@inproceedings{lagrange2015benchmarking,
title={Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks},
author={Lagrange, Adrien and Le Saux, Bertrand and Beaup{\`e}re, Anne and Boulch, Alexandre and Chan-Hon-Tong, Adrien and Herbin, St{\'e}phane and Randrianarivo, Hicham and Ferecatu, Marin},
booktitle={2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
address={Milan, Italy},
month=jul,
pages={4173--4176},
year={2015},
organization={IEEE},
doi={10.1109/IGARSS.2015.7326745}
}Discriminatively-trained model mixture for object detection in aerial images
Image Information Mining, Bucharest, Romania, 2015
BibTeX
@article{randrianarivo2015discriminatively,
title={Discriminatively-trained model mixture for object detection in aerial images},
author={Randrianarivo, Hicham and Le Saux, Bertrand and Crucianu, Michel and Ferecatu, Marin},
journal={Image Information Mining, Bucharest, Romania},
address={Bucharest, Romania},
month=oct,
year={2015}
}Détection de véhicules en imagerie aérienne par mélange de modèles discriminatifs
25e Colloque GRETSI, 2015
BibTeX
@inproceedings{randrianarivo2015vehicules,
title={D{\'e}tection de v{\'e}hicules en imagerie a{\'e}rienne par m{\'e}lange de mod{\`e}les discriminatifs},
author={Randrianarivo, Hicham and Le Saux, Bertrand and Ferecatu, Marin},
booktitle={25e Colloque GRETSI},
address={Lyon, France},
month=sep,
year={2015},
url={https://www.gretsi.fr/data/colloque/pdf/2015_lesaux74.pdf}
}2014
Multimodal classification with deformable part-based models for urban cartography
2014 IEEE Geoscience and Remote Sensing Symposium, IEEE, 2014, pp. 203–206 DOI
BibTeX
@inproceedings{randrianarivo2014multimodal,
title={Multimodal classification with deformable part-based models for urban cartography},
author={Randrianarivo, Hicham and Le Saux, Bertrand and Ferecatu, Marin},
booktitle={2014 IEEE Geoscience and Remote Sensing Symposium},
address={Quebec City, QC, Canada},
month=jul,
pages={203--206},
year={2014},
organization={IEEE},
doi={10.1109/IGARSS.2014.6946392}
}2013
Urban change detection in SAR images by interactive learning
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, IEEE, 2013, pp. 3990–3993 DOI
BibTeX
@inproceedings{le2013urban,
title={Urban change detection in SAR images by interactive learning},
author={Le Saux, Bertrand and Randrianarivo, Hicham},
booktitle={2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS},
address={Melbourne, Australia},
month=jul,
pages={3990--3993},
year={2013},
organization={IEEE},
doi={10.1109/IGARSS.2013.6723707}
}Urban structure detection with deformable part-based models
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, IEEE, 2013, pp. 200–203 DOI
BibTeX
@inproceedings{randrianarivo2013urban,
title={Urban structure detection with deformable part-based models},
author={Randrianarivo, Hicham and Le Saux, Bertrand and Ferecatu, Marin},
booktitle={2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS},
address={Melbourne, Australia},
month=jul,
pages={200--203},
year={2013},
organization={IEEE},
doi={10.1109/IGARSS.2013.6721126}
}