% MM team publications — auto-harvested from HAL on 2026-05-25
% Filters: docType in ['ART', 'COMM', 'COUV', 'OUV', 'THESE', 'HDR'], year 2021–2026, affiliation matches /T[eé]l[eé]com\s*Paris/.
% Source: scripts/harvest-publications.py — review before publishing.

@article{tartaglione:hal-04205645,
  TITLE = {{Disentangling private classes through regularization}},
  AUTHOR = {Tartaglione, Enzo and Gennari, Francesca and Qu{\'e}tu, Victor and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-04205645},
  JOURNAL = {{Neurocomputing}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {554},
  PAGES = {126612},
  YEAR = {2023},
  MONTH = Oct,
  DOI = {10.1016/j.neucom.2023.126612},
  KEYWORDS = {Deep learning ; GDPR ; Regularization ; Disentangling ; Artificial neural networks ; Private classes},
  PDF = {https://telecom-paris.hal.science/hal-04205645v1/file/1-s2.0-S092523122300735X-main.pdf},
  HAL_ID = {hal-04205645},
  HAL_VERSION = {v1},
}

@article{tartaglione:hal-03767830,
  TITLE = {{LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks}},
  AUTHOR = {Tartaglione, Enzo and Bragagnolo, Andrea and Fiandrotti, Attilio and Grangetto, Marco},
  URL = {https://hal.science/hal-03767830},
  JOURNAL = {{Neural Networks}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {146},
  PAGES = {230-237},
  YEAR = {2022},
  MONTH = Feb,
  DOI = {10.1016/j.neunet.2021.11.029},
  PDF = {https://hal.science/hal-03767830v1/file/S0893608021004706.pdf},
  HAL_ID = {hal-03767830},
  HAL_VERSION = {v1},
}

@article{tartaglione:hal-03335988,
  TITLE = {{HEMP: High-order entropy minimization for neural network compression}},
  AUTHOR = {Tartaglione, Enzo and Lathuili{\`e}re, St{\'e}phane and Fiandrotti, Attilio and Cagnazzo, Marco and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-03335988},
  JOURNAL = {{Neurocomputing}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {461},
  PAGES = {244-253},
  YEAR = {2021},
  MONTH = Oct,
  DOI = {10.1016/j.neucom.2021.07.022},
  KEYWORDS = {Deep learning ; Compression ; Entropy ; Neural networks ; Regularization},
  PDF = {https://telecom-paris.hal.science/hal-03335988v1/file/2107.05298v1.pdf},
  HAL_ID = {hal-03335988},
  HAL_VERSION = {v1},
}

@inproceedings{presta:hal-04253744,
  TITLE = {{A Differentiable Entropy Model for~Learned Image Compression}},
  AUTHOR = {Presta, Alberto and Fiandrotti, Attilio and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://hal.science/hal-04253744},
  BOOKTITLE = {{International Conference on Image Analysis and Processing -- ICIAP 2023}},
  ADDRESS = {Udine, Italy},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {14233},
  PAGES = {328-339},
  YEAR = {2023},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-43148-7\_28},
  KEYWORDS = {Learned image coding ; entropy estimation ; differentiable entropy ; autoencoder ; Image compression},
  HAL_ID = {hal-04253744},
  HAL_VERSION = {v1},
}

@inproceedings{quetu:hal-05016935,
  TITLE = {{The Simpler The Better: An Entropy-Based Importance Metric to~Reduce Neural Networks' Depth}},
  AUTHOR = {Qu{\'e}tu, Victor and Liao, Zhu and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05016935},
  BOOKTITLE = {{Joint European Conference on Machine Learning and Knowledge Discovery in Databases}},
  ADDRESS = {Vilnius (Lituanie), Lithuania},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {14946},
  PAGES = {92-108},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-70365-2\_6},
  KEYWORDS = {Compression ; Efficiency ; Deep Learning},
  HAL_ID = {hal-05016935},
  HAL_VERSION = {v1},
}

@inproceedings{almuhammadalali:hal-05208876,
  TITLE = {{Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning}},
  AUTHOR = {Almuhammad Alali, Salman and Qamar, Maryam and Bae, Sung-Ho and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05208876},
  BOOKTITLE = {{British Machine Vision Conference 2024}},
  ADDRESS = {Glasgow (Ecosse), United Kingdom},
  YEAR = {2024},
  MONTH = Nov,
  HAL_ID = {hal-05208876},
  HAL_VERSION = {v1},
}

@inproceedings{barbano:hal-03993128,
  TITLE = {{Unbiased Supervised Contrastive Learning}},
  AUTHOR = {Barbano, Carlo Alberto and Dufumier, Benoit and Tartaglione, Enzo and Grangetto, Marco and Gori, Pietro},
  URL = {https://telecom-paris.hal.science/hal-03993128},
  BOOKTITLE = {{ICLR}},
  ADDRESS = {Kigali, Rwanda},
  YEAR = {2023},
  MONTH = May,
  PDF = {https://telecom-paris.hal.science/hal-03993128v1/file/ICLR_2023___Unbiased_Supervised_Contrastive_Learning.pdf},
  HAL_ID = {hal-03993128},
  HAL_VERSION = {v1},
}

@inproceedings{milovanovic:hal-04205625,
  TITLE = {{Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis}},
  AUTHOR = {Milovanovi{\'c}, Marta and Tartaglione, Enzo and Cagnazzo, Marco and Henry, F{\'e}lix},
  URL = {https://telecom-paris.hal.science/hal-04205625},
  BOOKTITLE = {{2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Brisbane, Australia, 2023, pp. 158-163}},
  ADDRESS = {Brisbane, Australia},
  PUBLISHER = {{IEEE}},
  PAGES = {158-163},
  YEAR = {2023},
  MONTH = Jul,
  DOI = {10.1109/ICMEW59549.2023.00034},
  HAL_ID = {hal-04205625},
  HAL_VERSION = {v1},
}

@article{renzulli:hal-05191060,
  TITLE = {{Capsule networks do not need to model everything}},
  AUTHOR = {Renzulli, Riccardo and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05191060},
  JOURNAL = {{Pattern Recognition}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {171, Part A},
  PAGES = {112119 (1-11)},
  YEAR = {2026},
  MONTH = Mar,
  DOI = {10.1016/j.patcog.2025.112119},
  KEYWORDS = {Deep learing ; Capsule networks ; Routing ; Parse trees},
  HAL_ID = {hal-05191060},
  HAL_VERSION = {v1},
}

@inproceedings{rami:hal-04541703,
  TITLE = {{Source-Guided Similarity Preservation for Online Person Re-Identification}},
  AUTHOR = {Rami, Hamza and Giraldo, Jhony H. and Winckler, Nicolas and Lathuili{\`e}re, St{\'e}phane},
  URL = {https://hal.science/hal-04541703},
  BOOKTITLE = {{2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Waikoloa, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {1700-1709},
  YEAR = {2024},
  MONTH = Jan,
  DOI = {10.1109/WACV57701.2024.00173},
  KEYWORDS = {Online unsupervised domain adaptation ; Person Re-Identification ; Adaptation models ; Data privacy ; Computer vision ; Streaming media ; Benchmark testing ; Feature extraction ; Regulation},
  PDF = {https://hal.science/hal-04541703v1/file/WACV_2024.pdf},
  HAL_ID = {hal-04541703},
  HAL_VERSION = {v1},
}

@article{presta:hal-05017027,
  TITLE = {{STanH : Parametric Quantization for Variable Rate Learned Image Compression}},
  AUTHOR = {Presta, Alberto and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05017027},
  JOURNAL = {{IEEE Transactions on Image Processing}},
  PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
  VOLUME = {34},
  PAGES = {639-651},
  YEAR = {2025},
  MONTH = Jan,
  DOI = {10.1109/TIP.2025.3527883},
  KEYWORDS = {Training ; Quantizer annealing ; Differentiable quantization ; Variable rate image coding ; Learned image compression ; Annealing ; Context modeling ; Entropy ; Noise ; Bit rate ; Decoding ; Adaptation models ; Image coding ; Quantization (signal)},
  HAL_ID = {hal-05017027},
  HAL_VERSION = {v1},
}

@inproceedings{spadaro:hal-05160415,
  TITLE = {{Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates}},
  AUTHOR = {Spadaro, Gabriele and Presta, Alberto and Giraldo Zuluaga, Jhony Heriberto and Grangetto, Marco and Hu, Wei and Valenzise, Giuseppe and Fiandrotti, Attilio and Tartaglione, Enzo},
  URL = {https://centralesupelec.hal.science/hal-05160415},
  BOOKTITLE = {{Proceedings of ICME 2025}},
  ADDRESS = {Nantes, France},
  YEAR = {2025},
  MONTH = Jun,
  KEYWORDS = {Learnable Vector Quantizer ; Denoising Diffusion Probabilistic Models ; Geometry Point Cloud Compression ; Geometry Point Cloud Compression Denoising Diffusion Probabilistic Models Learnable Vector Quantizer},
  PDF = {https://centralesupelec.hal.science/hal-05160415v1/file/CameraReady%203866.pdf},
  HAL_ID = {hal-05160415},
  HAL_VERSION = {v1},
}

@article{martirosyan:hal-05167505,
  TITLE = {{Piecewise Constant Spectral Graph Neural Network}},
  AUTHOR = {Martirosyan, Vahan and Giraldo, Jhony H and Malliaros, Fragkiskos D},
  URL = {https://hal.science/hal-05167505},
  JOURNAL = {{Transactions on Machine Learning Research Journal}},
  PUBLISHER = {{[Amherst Massachusetts]: OpenReview.net, 2022}},
  YEAR = {2025},
  MONTH = Apr,
  KEYWORDS = {Graph neural network ; Spectral graph neural network},
  PDF = {https://hal.science/hal-05167505v1/file/4155_Piecewise_Constant_Spectr.pdf},
  HAL_ID = {hal-05167505},
  HAL_VERSION = {v1},
}

@article{giraldo:hal-04801077,
  TITLE = {{Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks}},
  AUTHOR = {Giraldo, Jhony and Einizade, Aref and Todorovic, Andjela and Castro-Correa, Jhon and Badiey, Mohsen and Bouwmans, Thierry and Malliaros, Fragkiskos D.},
  URL = {https://hal.science/hal-04801077},
  JOURNAL = {{IEEE Transactions on Signal and Information Processing over Networks}},
  PUBLISHER = {{IEEE}},
  VOLUME = {11},
  PAGES = {11-22},
  YEAR = {2024},
  MONTH = Nov,
  DOI = {10.1109/TSIPN.2024.3503416},
  KEYWORDS = {Laplace equations ; Sparse matrices ; Graph neural networks ; Convolution ; Computational modeling ; Information processing ; Vectors ; Symmetric matrices ; Attention mechanisms ; Transformers},
  PDF = {https://hal.science/hal-04801077v1/file/2411.04570v1.pdf},
  HAL_ID = {hal-04801077},
  HAL_VERSION = {v1},
}

@inproceedings{rami:hal-04794154,
  TITLE = {{Privacy-Preserving Adaptive Re-Identification without Image Transfer}},
  AUTHOR = {Rami, Hamza and Giraldo, Jhony H. and Winckler, Nicolas and Lathuili{\`e}re, St{\'e}phane},
  URL = {https://hal.science/hal-04794154},
  NOTE = {ECCV 2024},
  BOOKTITLE = {{18th European Conference on Computer Vision ECCV 2024}},
  ADDRESS = {Milan, Italy},
  PUBLISHER = {{Springer, Cham}},
  VOLUME = {15110},
  PAGES = {95-111},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-72943-0\_6},
  KEYWORDS = {Person Re-ID ; Unsupervised Domain Adaptation ; Federated Learning},
  PDF = {https://hal.science/hal-04794154v1/file/2407.12589v1.pdf},
  HAL_ID = {hal-04794154},
  HAL_VERSION = {v1},
}

@inproceedings{giraldo:hal-04368752,
  TITLE = {{Higher-order Sparse Convolutions in Graph Neural Networks}},
  AUTHOR = {Giraldo, Jhony H. and Javed, Sajid and Mahmood, Arif and Malliaros, Fragkiskos D. and Bouwmans, Thierry},
  URL = {https://hal.science/hal-04368752},
  BOOKTITLE = {{ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing}},
  ADDRESS = {Rhodes Island, Greece},
  PUBLISHER = {{IEEE}},
  PAGES = {1-5},
  YEAR = {2023},
  MONTH = Jun,
  DOI = {10.1109/ICASSP49357.2023.10096494},
  KEYWORDS = {Graph neural networks ; sparse convolutions ; Sobolev norm ; Maximum likelihood detection ; Convolution ; Filtering ; Nonlinear filters ; Semisupervised learning ; Error correction codes},
  PDF = {https://hal.science/hal-04368752v1/file/2302.10505.pdf},
  HAL_ID = {hal-04368752},
  HAL_VERSION = {v1},
}

@article{barbano:hal-05017009,
  TITLE = {{Unsupervised Learning of Unbiased Visual Representations}},
  AUTHOR = {Barbano, Carlo Alberto and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05017009},
  JOURNAL = {{IEEE Transactions on Artificial Intelligence}},
  PUBLISHER = {{IEEE}},
  VOLUME = {6},
  NUMBER = {5},
  PAGES = {1171 - 1183},
  YEAR = {2024},
  MONTH = Dec,
  DOI = {10.1109/TAI.2024.3514554},
  KEYWORDS = {Predictive models ; Data models ; Biological system modeling ; Training ; Annotations ; Mathematical models ; Random variables ; Visualization ; Unsupervised learning ; Regularization ; Deep learning ; Bias ; Correlation},
  PDF = {https://telecom-paris.hal.science/hal-05017009v1/file/2204.12941v2.pdf},
  HAL_ID = {hal-05017009},
  HAL_VERSION = {v1},
}

@inproceedings{barbano:hal-03767903,
  TITLE = {{A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images}},
  AUTHOR = {Barbano, Carlo Alberto and Tartaglione, Enzo and Berzovini, Claudio and Calandri, Marco and Grangetto, Marco},
  URL = {https://hal.science/hal-03767903},
  BOOKTITLE = {{Image Analysis and Processing -- ICIAP 2022 : 21st International Conference, Lecce, Italy, May 23--27, 2022, Proceedings, Part I}},
  ADDRESS = {Lecce, Italy},
  EDITOR = {Stan Sclaroff and Cosimo Distante and Marco Leo and Giovanni M. Farinella and Federico Tombari},
  PUBLISHER = {{Springer, Cham}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {13231},
  PAGES = {173-184},
  YEAR = {2022},
  MONTH = May,
  DOI = {10.1007/978-3-031-06427-2\_15},
  KEYWORDS = {Deep Learning ; Chest x-ray ; Radiological findings ; Covid-19},
  PDF = {https://hal.science/hal-03767903v1/file/2101.10223v1.pdf},
  HAL_ID = {hal-03767903},
  HAL_VERSION = {v1},
}

@inproceedings{giraldo:hal-04263891,
  TITLE = {{On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks}},
  AUTHOR = {Giraldo, Jhony H and Skianis, Konstantinos and Bouwmans, Thierry and Malliaros, Fragkiskos D.},
  URL = {https://hal.science/hal-04263891},
  BOOKTITLE = {{CIKM 2023 - The 32nd ACM International Conference on Information and Knowledge Management}},
  ADDRESS = {Birmingham United Kingdom, United Kingdom},
  PUBLISHER = {{ACM}},
  PAGES = {566-576},
  YEAR = {2023},
  MONTH = Oct,
  DOI = {10.1145/3583780.3614997},
  KEYWORDS = {Graph neural networks ; over-smoothing ; over-squashing ; curvature},
  PDF = {https://hal.science/hal-04263891v1/file/CIKM_2023_Camera_Ready.pdf},
  HAL_ID = {hal-04263891},
  HAL_VERSION = {v1},
}

@article{einizade:hal-04541701,
  TITLE = {{Estimation of a causal directed acyclic graph process using non-gaussianity}},
  AUTHOR = {Einizade, Aref and Giraldo, Jhony H. and Malliaros, Fragkiskos D. and Hajipour Sardouie, Sepideh},
  URL = {https://hal.science/hal-04541701},
  JOURNAL = {{Digital Signal Processing}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {146},
  PAGES = {104400},
  YEAR = {2024},
  MONTH = Mar,
  DOI = {10.1016/j.dsp.2024.104400},
  KEYWORDS = {Causal discovery ; Graph Signal Processing (GSP) ; Causal Graph Process (CGP) ; Linear Non-Gaussian Acyclic Model (LiNGAM) ; Directed Acyclic Graph},
  PDF = {https://hal.science/hal-04541701v1/file/Estimation_of_a_Causal_Directed_Acyclic_Graph_Process_using_Non_Gaussianity%20%281%29.pdf},
  HAL_ID = {hal-04541701},
  HAL_VERSION = {v1},
}

@inproceedings{presta:hal-05191090,
  TITLE = {{Efficient Progressive Image Compression with Variance-Aware Masking}},
  AUTHOR = {Presta, Alberto and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco and Cosman, Pamela},
  URL = {https://telecom-paris.hal.science/hal-05191090},
  BOOKTITLE = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Tucson, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {7692-7700},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1109/WACV61041.2025.00747},
  KEYWORDS = {Computational complexity ; computer vision ; variable rate coding ; fine grained scalability ; progressive coding ; learned image compression ; Image reconstruction ; Reliability ; Decoding ; Entropy ; Computer architecture ; Receivers ; Estimation ; Image coding ; Computer vision},
  HAL_ID = {hal-05191090},
  HAL_VERSION = {v1},
}

@inproceedings{desousatrias:hal-04230306,
  TITLE = {{A hitchhiker's guide to white-box neural network watermarking robustness}},
  AUTHOR = {de Sousa Trias, Carl and Mitrea, Mihai P and Tartaglione, Enzo and Fiandrotti, Attilio and Cagnazzo, Marco and Chaudhuri, Sumanta},
  URL = {https://hal.science/hal-04230306},
  BOOKTITLE = {{EUVIP 2023 : The 11th European Workshop on Visual Information Processing}},
  ADDRESS = {Gjovik, Norway},
  YEAR = {2023},
  MONTH = Sep,
  KEYWORDS = {watermarking neural network white-box robustness geometric attacks counter-attack ; watermarking ; neural network ; white-box ; robustness ; geometric attacks ; counter-attack},
  PDF = {https://hal.science/hal-04230306v1/file/EUVIP23_permutation_watermark.pdf},
  HAL_ID = {hal-04230306},
  HAL_VERSION = {v1},
}

@inproceedings{spadaro:hal-05016959,
  TITLE = {{Gabic: Graph-Based Attention Block for Image Compression}},
  AUTHOR = {Spadaro, Gabriele and Presta, Alberto and Tartaglione, Enzo and Giraldo, Jhony and Grangetto, Marco and Fiandrotti, Attilio},
  URL = {https://telecom-paris.hal.science/hal-05016959},
  BOOKTITLE = {{2024 IEEE International Conference on Image Processing (ICIP)}},
  ADDRESS = {Abu Dhabi, United Arab Emirates},
  PUBLISHER = {{IEEE}},
  SERIES = {2024 IEEE International Conference on Image Processing (ICIP)},
  PAGES = {1802-1808},
  YEAR = {2024},
  MONTH = Oct,
  DOI = {10.1109/ICIP51287.2024.10647413},
  KEYWORDS = {Termination of employment ; Transform coding ; Bit rate ; Shape ; Codecs ; Attention mechanisms ; Image coding},
  HAL_ID = {hal-05016959},
  HAL_VERSION = {v1},
}

@inproceedings{tartaglione:hal-03916176,
  TITLE = {{Information Removal at the bottleneck in Deep Neural Networks}},
  AUTHOR = {Tartaglione, Enzo},
  URL = {https://hal.science/hal-03916176},
  BOOKTITLE = {{33rd British Machine Vision Conference 2022, \{BMVC\} 2022, London, UK, November 21-24, 2022}},
  ADDRESS = {London, United Kingdom},
  YEAR = {2022},
  MONTH = Nov,
  HAL_ID = {hal-03916176},
  HAL_VERSION = {v1},
}

@inproceedings{corbellini:hal-04269170,
  TITLE = {{Few Labels are Enough! Semi-Supervised Graph Learning for Social Interaction}},
  AUTHOR = {Corbellini, Nicola and Giraldo, Jhony H. and Varni, Giovanna and Volpe, Gualtiero},
  URL = {https://hal.science/hal-04269170},
  BOOKTITLE = {{Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}},
  ADDRESS = {Paris, France},
  PAGES = {3060-3068},
  YEAR = {2023},
  MONTH = Oct,
  PDF = {https://hal.science/hal-04269170v1/file/Corbellini_Few_Labels_are_Enough_Semi-Supervised_Graph_Learning_for_Social_Interaction_ICCVW_2023_paper.pdf},
  HAL_ID = {hal-04269170},
  HAL_VERSION = {v1},
}

@article{castrocorrea:hal-04541700,
  TITLE = {{Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction}},
  AUTHOR = {Castro-Correa, Jhon and Giraldo, Jhony and Badiey, Mohsen and Malliaros, Fragkiskos D.},
  URL = {https://hal.science/hal-04541700},
  JOURNAL = {{IEEE Transactions on Neural Networks and Learning Systems}},
  PUBLISHER = {{IEEE}},
  YEAR = {2024},
  MONTH = Apr,
  DOI = {10.1109/TNNLS.2024.3381069},
  KEYWORDS = {Gegenbauer polynomials ; Graph neural nerworks ; Graph signal processing ; Time-varying graph signals},
  PDF = {https://hal.science/hal-04541700v1/file/TNNLS___Time_varying_reconstruction_using_GNNs_Revision_1%20%281%29.pdf},
  HAL_ID = {hal-04541700},
  HAL_VERSION = {v1},
}

@inproceedings{castrocorrea:hal-04368767,
  TITLE = {{Time-varying Signals Recovery via Graph Neural Networks}},
  AUTHOR = {Castro-Correa, John A and Giraldo, Jhony H and Mondal, Anindya and Badiey, Mohsen and Bouwmans, Thierry and Malliaros, Fragkiskos D.},
  URL = {https://hal.science/hal-04368767},
  BOOKTITLE = {{ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing}},
  ADDRESS = {Rhodes Island, Greece},
  PAGES = {1-5},
  YEAR = {2023},
  MONTH = Jun,
  DOI = {10.1109/ICASSP49357.2023.10096168},
  KEYWORDS = {Graph neural networks ; graph signal processing ; time-varying graph signal ; recovery of signals ; Time series analysis ; Signal processing algorithms ; Filtering algorithms ; Transformers ; Graph neural networks ; Spatiotemporal phenomena ; Forecasting},
  PDF = {https://hal.science/hal-04368767v1/file/2302.11313%20%284%29.pdf},
  HAL_ID = {hal-04368767},
  HAL_VERSION = {v1},
}

@article{spadaro:hal-05396339,
  TITLE = {{TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones}},
  AUTHOR = {Spadaro, Gabriele and Bragagnolo, Andrea and Renzulli, Riccardo and Grangetto, Marco and Giraldo, Jhony and Fiandrotti, Attilio and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05396339},
  JOURNAL = {{Neurocomputing}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {668},
  PAGES = {132209:01-132209-13},
  YEAR = {2025},
  MONTH = Nov,
  DOI = {10.1016/j.neucom.2025.132209},
  KEYWORDS = {Pruning ; Transfer learning ; Transferability estimation},
  HAL_ID = {hal-05396339},
  HAL_VERSION = {v1},
}

@inproceedings{spadaro:hal-05166688,
  TITLE = {{WiGNet: Windowed Vision Graph Neural Network}},
  AUTHOR = {Spadaro, Gabriele and Grangetto, Marco and Fiandrotti, Attilio and Tartaglione, Enzo and Giraldo, Jhony},
  URL = {https://hal.science/hal-05166688},
  BOOKTITLE = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Tucson, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {859-868},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1109/WACV61041.2025.00093},
  KEYWORDS = {Convolutional codes ; Computer vision ; Adaptation models ; Accuracy ; Computational modeling ; Computer architecture ; Benchmark testing ; Graph neural networks ; Computational complexity ; Image classification},
  PDF = {https://hal.science/hal-05166688v1/file/2410.00807v1.pdf},
  HAL_ID = {hal-05166688},
  HAL_VERSION = {v1},
}

@article{kapoor:hal-04893798,
  TITLE = {{Graph-based Moving Object Segmentation for underwater videos using semi-supervised learning}},
  AUTHOR = {Kapoor, Meghna and Prummel, Wieke and Giraldo, Jhony and Subudhi, Badri Narayan and Zakharova, Anastasia and Bouwmans, Thierry and Bansal, Ankur},
  URL = {https://hal.science/hal-04893798},
  JOURNAL = {{Computer Vision and Image Understanding}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {252},
  PAGES = {104290},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1016/j.cviu.2025.104290},
  KEYWORDS = {Foreground Detection ; Graph Neural Networks ; Graph learning ; Semi-supervised learning ; Underwater object segmentation ; Deep learning},
  HAL_ID = {hal-04893798},
  HAL_VERSION = {v1},
}

@inproceedings{quetu:hal-04206447,
  TITLE = {{Dodging the Double Descent in Deep Neural Networks}},
  AUTHOR = {Qu{\'e}tu, Victor and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-04206447},
  BOOKTITLE = {{2023 IEEE International Conference on Image Processing (ICIP)}},
  ADDRESS = {Kuala Lumpur, Malaysia},
  PUBLISHER = {{IEEE}},
  PAGES = {1625-1629},
  YEAR = {2023},
  MONTH = Oct,
  DOI = {10.1109/ICIP49359.2023.10222624},
  KEYWORDS = {Deep learning ; Training ; Image processing ; Artificial neural networks},
  HAL_ID = {hal-04206447},
  HAL_VERSION = {v1},
}

@inproceedings{vijayaratnam:hal-04350236,
  TITLE = {{Unified Measures for the Rate-Distortion-Latency Trade-Off}},
  AUTHOR = {Vijayaratnam, Melan and Milovanovic, Marta and Cagnazzo, Marco and Tartaglione, Enzo and Valenzise, Giuseppe},
  URL = {https://centralesupelec.hal.science/hal-04350236},
  BOOKTITLE = {{Proceedings of the 2023 IEEE International Conference on Visual Communications and Image Processing}},
  ADDRESS = {Jeju island, Republic of Korea, South Korea},
  YEAR = {2023},
  MONTH = Dec,
  KEYWORDS = {low-latency video delivery metric ratedistortion-latency trade-off ; low-latency video delivery ; metric ; ratedistortion-latency trade-off},
  PDF = {https://centralesupelec.hal.science/hal-04350236v1/file/VCIP_2023_Melan_final_camera_ready.pdf},
  HAL_ID = {hal-04350236},
  HAL_VERSION = {v1},
}

@inproceedings{xie:hal-05167525,
  TITLE = {{Variational Graph Contrastive Learning}},
  AUTHOR = {Xie, Shifeng and Giraldo, Jhony H.},
  URL = {https://hal.science/hal-05167525},
  BOOKTITLE = {{NeurIPS 2024 Workshop: Self-Supervised Learning-Theory and Practice}},
  ADDRESS = {Vancouver, Canada},
  YEAR = {2024},
  MONTH = Dec,
  PDF = {https://hal.science/hal-05167525v1/file/24_Variational_Graph_Contrasti.pdf},
  HAL_ID = {hal-05167525},
  HAL_VERSION = {v1},
}

@phdthesis{tartaglione:tel-04803096,
  TITLE = {{From Model Complexity Reduction to Feature Selection in Deep Learning: a Regularization Story}},
  AUTHOR = {Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/tel-04803096},
  SCHOOL = {{Institut Polytechnique de Paris}},
  YEAR = {2024},
  MONTH = Sep,
  KEYWORDS = {Compression ; Pruning ; Debiasing ; Regularization ; Compression ; {\'E}lagage ; D{\'e}biaisaige ; Regularisation},
  TYPE = {Accreditation to supervise research},
  PDF = {https://telecom-paris.hal.science/tel-04803096v1/file/HDR_merged.pdf},
  HAL_ID = {tel-04803096},
  HAL_VERSION = {v1},
}

@incollection{disario:hal-04205640,
  TITLE = {{Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble}},
  AUTHOR = {Di Sario, Francesco and Renzulli, Riccardo and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-04205640},
  BOOKTITLE = {{Image Analysis and Processing -- ICIAP 2023}},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {14234},
  PAGES = {320-331},
  YEAR = {2023},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-43153-1\_27},
  KEYWORDS = {Compression ; 3D scene modeling ; Ensemble ; NeRF ; NeRF Ensemble 3D scene modeling Compression},
  PDF = {https://telecom-paris.hal.science/hal-04205640v1/file/ICIAP23_EnsembleNeRF-2.pdf},
  HAL_ID = {hal-04205640},
  HAL_VERSION = {v1},
}

@incollection{quetu:hal-04205630,
  TITLE = {{Sparse Double Descent in~Vision Transformers: Real or~Phantom Threat?}},
  AUTHOR = {Qu{\'e}tu, Victor and Milovanovi{\'c}, Marta and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-04205630},
  BOOKTITLE = {{Image Analysis and Processing -- ICIAP 2023}},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {14234},
  PAGES = {490-502},
  YEAR = {2023},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-43153-1\_41},
  KEYWORDS = {Sparse double descent ; transformers ; pruning ; deep learning},
  HAL_ID = {hal-04205630},
  HAL_VERSION = {v1},
}

@inproceedings{deng:hal-04156705,
  TITLE = {{Compressing Explicit Voxel Grid Representations: fast NeRFs become also small}},
  AUTHOR = {Deng, Chenxi Lola and Tartaglione, Enzo},
  URL = {https://hal.science/hal-04156705},
  BOOKTITLE = {{2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Waikoloa, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {1236-1245},
  YEAR = {2023},
  MONTH = Jan,
  DOI = {10.1109/WACV56688.2023.00129},
  HAL_ID = {hal-04156705},
  HAL_VERSION = {v1},
}

@article{gava:hal-04156706,
  TITLE = {{Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke}},
  AUTHOR = {Gava, Umberto and D'agata, Federico and Tartaglione, Enzo and Renzulli, Riccardo and Grangetto, Marco and Bertolino, Francesca and Santonocito, Ambra and Bennink, Edwin and Vaudano, Giacomo and Boghi, Andrea and Bergui, Mauro},
  URL = {https://hal.science/hal-04156706},
  JOURNAL = {{Frontiers in Neuroinformatics}},
  PUBLISHER = {{Frontiers Media}},
  VOLUME = {17},
  YEAR = {2023},
  MONTH = Mar,
  DOI = {10.3389/fninf.2023.852105},
  HAL_ID = {hal-04156706},
  HAL_VERSION = {v1},
}

@inproceedings{tartaglione:hal-04087296,
  TITLE = {{A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions}},
  AUTHOR = {Tartaglione, Enzo and Biancardi, Beatrice and Mancini, Maurizio and Varni, Giovanna},
  URL = {https://hal.science/hal-04087296},
  BOOKTITLE = {{Companion Publication of the 2021 International Conference on Multimodal Interaction}},
  ADDRESS = {Montreal (Canada), Canada},
  PUBLISHER = {{ACM}},
  PAGES = {254-262},
  YEAR = {2021},
  MONTH = Oct,
  DOI = {10.1145/3461615.3485414},
  HAL_ID = {hal-04087296},
  HAL_VERSION = {v1},
}

@inproceedings{desousatrias:hal-05016979,
  TITLE = {{WaterMAS: sharpness-aware maximization for~neural network watermarking}},
  AUTHOR = {de Sousa Trias, Carl and Mitrea, Mihai and Fiandrotti, Attilio and Cagnazzo, Marco and Chaudhuri, Sumanta and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05016979},
  BOOKTITLE = {{The 27th International Conference on Pattern Recognition (ICPR)}},
  ADDRESS = {Kolkata, India, India},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {15305},
  PAGES = {301-317},
  YEAR = {2024},
  MONTH = Dec,
  DOI = {10.1007/978-3-031-78169-8\_20},
  KEYWORDS = {Deep neural netwok ; Deep neural net- works ; Critical applications ; Intellectual property rights ; WaterMAS ; Watermarking ; Neural Networks ; Sharpness-aware optimisation ; IPR},
  HAL_ID = {hal-05016979},
  HAL_VERSION = {v1},
}

@inproceedings{ali:hal-05191085,
  TITLE = {{ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting}},
  AUTHOR = {Ali, Muhammad Salman and Bae, Sung-Ho and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05191085},
  BOOKTITLE = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Tucson, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {2591-2600},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1109/WACV61041.2025.00257},
  KEYWORDS = {Training ; Solid modeling ; Visualization ; Three-dimensional displays ; Quantization (signal) ; Computational modeling ; Scalability ; Roads ; Benchmark testing ; Standards},
  HAL_ID = {hal-05191085},
  HAL_VERSION = {v1},
}

@inproceedings{disario:hal-05016946,
  TITLE = {{Boost Your NeRF: A Model-Agnostic Mixture of~Experts Framework for~High Quality and~Efficient Rendering}},
  AUTHOR = {Di Sario, Francesco and Renzulli, Riccardo and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05016946},
  BOOKTITLE = {{The 18th European Conference on Computer Vision ECCV 2024}},
  ADDRESS = {Milan (Italie), Italy},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {15141},
  PAGES = {176-192},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-73010-8\_11},
  HAL_ID = {hal-05016946},
  HAL_VERSION = {v1},
}

@article{sangare:hal-05166788,
  TITLE = {{A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning}},
  AUTHOR = {Sangare, Amadou S. and Dunou, Nicolas and Giraldo, Jhony H. and Malliaros, Fragkiskos D.},
  URL = {https://hal.science/hal-05166788},
  JOURNAL = {{Transactions on Machine Learning Research Journal}},
  PUBLISHER = {{[Amherst Massachusetts]: OpenReview.net, 2022}},
  YEAR = {2025},
  MONTH = Feb,
  PDF = {https://hal.science/hal-05166788v1/file/3177_A_Fused_Gromov_Wasserstei.pdf},
  HAL_ID = {hal-05166788},
  HAL_VERSION = {v1},
}

@inproceedings{santamaria:hal-05166701,
  TITLE = {{CATALOG: A Camera Trap Language-guided Contrastive Learning Model}},
  AUTHOR = {Santamaria, Julian and Isaza, Claudia and Giraldo, Jhony},
  URL = {https://hal.science/hal-05166701},
  BOOKTITLE = {{2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Tucson, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {1197-1206},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1109/WACV61041.2025.00124},
  KEYWORDS = {Training ; Computer vision ; Image recognition ; Frequency modulation ; Animals ; Computational modeling ; Contrastive learning ; Feature extraction ; Cameras ; Image classification},
  PDF = {https://hal.science/hal-05166701v1/file/2412.10624v1.pdf},
  HAL_ID = {hal-05166701},
  HAL_VERSION = {v1},
}

@inproceedings{tartaglione:hal-03766740,
  TITLE = {{THE RISE OF THE LOTTERY HEROES: WHY ZERO-SHOT PRUNING IS HARD}},
  AUTHOR = {Tartaglione, Enzo},
  URL = {https://hal.science/hal-03766740},
  BOOKTITLE = {{IEEE International Conference on Image Processing (ICIP 22)}},
  ADDRESS = {Bordeaux, France},
  YEAR = {2022},
  MONTH = Oct,
  KEYWORDS = {deep learning ; computational complexity ; pruning ; The lottery ticket hypothesis},
  PDF = {https://hal.science/hal-03766740v1/file/ICIP_22_LotteryHeroes-1.pdf},
  HAL_ID = {hal-03766740},
  HAL_VERSION = {v1},
}

@inproceedings{rahman:hal-04794160,
  TITLE = {{OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras}},
  AUTHOR = {Rahman, Muhammad Rameez Ur and Giraldo, Jhony H. and Spinelli, Indro and Lathuili{\`e}re, St{\'e}phane and Galasso, Fabio},
  URL = {https://hal.science/hal-04794160},
  NOTE = {conference},
  BOOKTITLE = {{Lecture Notes in Computer Science}},
  ADDRESS = {Kolkata, INDIA, India},
  PUBLISHER = {{Springer, Cham}},
  VOLUME = {15316},
  PAGES = {18--33},
  YEAR = {2024},
  MONTH = Dec,
  DOI = {10.1007/978-3-031-78444-6\_2},
  KEYWORDS = {Open vocabulary segmentation ; Low-level vision ; Distillation},
  PDF = {https://hal.science/hal-04794160v1/file/2408.09424v1.pdf},
  HAL_ID = {hal-04794160},
  HAL_VERSION = {v1},
}

@inproceedings{barbano:hal-03767902,
  TITLE = {{Bridging the gap between debiasing and privacy for deep learning}},
  AUTHOR = {Barbano, Carlo Alberto and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://hal.science/hal-03767902},
  BOOKTITLE = {{2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)}},
  ADDRESS = {Montreal, France},
  PUBLISHER = {{IEEE}},
  PAGES = {3799-3808},
  YEAR = {2021},
  MONTH = Oct,
  DOI = {10.1109/iccvw54120.2021.00424},
  HAL_ID = {hal-03767902},
  HAL_VERSION = {v1},
}

@inproceedings{vijayaratnam:hal-04204130,
  TITLE = {{All Predictions Matter: an Online Video Prediction Approach}},
  AUTHOR = {Vijayaratnam, Melan and Cagnazzo, Marco and Valenzise, Giuseppe and Tartaglione, Enzo},
  URL = {https://centralesupelec.hal.science/hal-04204130},
  BOOKTITLE = {{11th European Workshop on Visual Information Processing}},
  ADDRESS = {Gj{{\o}}vik, Norway},
  YEAR = {2023},
  MONTH = Sep,
  KEYWORDS = {Extrapolation video prediction online learning metric segmentation ; Extrapolation ; video prediction ; online learning ; metric ; segmentation},
  PDF = {https://centralesupelec.hal.science/hal-04204130v1/file/EUVIP_2023_Melan_final_camera_ready.pdf},
  HAL_ID = {hal-04204130},
  HAL_VERSION = {v1},
}

@article{rendon:hal-04163866,
  TITLE = {{Uncertainty clustering internal validity assessment using Fr{\'e}chet distance for unsupervised learning}},
  AUTHOR = {Rendon, Nestor and Giraldo, Jhony H. and Bouwmans, Thierry and Rodr{\'i}guez-Buritica, Susana and Ramirez, Edison and Isaza, Claudia},
  URL = {https://hal.science/hal-04163866},
  JOURNAL = {{Engineering Applications of Artificial Intelligence}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {124},
  PAGES = {106635},
  YEAR = {2023},
  MONTH = Sep,
  DOI = {10.1016/j.engappai.2023.106635},
  KEYWORDS = {Unsupervised learning ; Clustering validity ; Fr{\'e}chet distance ; Type-2 fuzzy sets},
  HAL_ID = {hal-04163866},
  HAL_VERSION = {v1},
}

@article{pilo:hal-05017036,
  TITLE = {{LayerFold: A Python library to reduce the depth of neural networks}},
  AUTHOR = {Pilo, Giommaria and Hezbri, Nour and Pereira E Ferreira, Andr{\'e} and Qu{\'e}tu, Victor and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05017036},
  JOURNAL = {{SoftwareX}},
  PUBLISHER = {{Elsevier}},
  VOLUME = {29},
  PAGES = {102030},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1016/j.softx.2024.102030},
  KEYWORDS = {Deep learning ; Layer collapse ; Depth compression ; Pruning ; PyTorch},
  HAL_ID = {hal-05017036},
  HAL_VERSION = {v1},
}

@incollection{prummel:hal-05197402,
  TITLE = {{Graph Neural Networks for Moving Objects Detection in Videos}},
  AUTHOR = {Prummel, Wieke and Giraldo, Jhony and Zakharova, Anastasia and Bouwmans, Thierry},
  URL = {https://hal.science/hal-05197402},
  BOOKTITLE = {{Pattern Recognition and Computer Vision in the New AI Era}},
  PUBLISHER = {{WORLD SCIENTIFIC}},
  SERIES = {Series in Computer Vision},
  VOLUME = {09},
  PAGES = {121-143},
  YEAR = {2025},
  MONTH = Aug,
  DOI = {10.1142/9789819807154\_0006},
  HAL_ID = {hal-05197402},
  HAL_VERSION = {v1},
}

@inproceedings{gailhard:hal-05166733,
  TITLE = {{HYGENE: A Diffusion-Based Hypergraph Generation Method}},
  AUTHOR = {Gailhard, Dorian and Tartaglione, Enzo and Naviner, Lirida and Giraldo, Jhony},
  URL = {https://hal.science/hal-05166733},
  BOOKTITLE = {{Proceedings of the AAAI Conference on Artificial Intelligence}},
  ADDRESS = {Philadelphia, United States},
  ORGANIZATION = {{Association for the Advancement of Artificial Intelligence}},
  VOLUME = {39},
  NUMBER = {16},
  PAGES = {16682-16690},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1609/aaai.v39i16.33833},
  PDF = {https://hal.science/hal-05166733v1/file/arxiv_HypergraphGeneration-1.pdf},
  HAL_ID = {hal-05166733},
  HAL_VERSION = {v1},
}

@inproceedings{prummel:hal-04263887,
  TITLE = {{Inductive Graph Neural Networks for Moving Object Segmentation}},
  AUTHOR = {Prummel, Wieke and Giraldo, Jhony H. and Zakharova, Anastasia and Bouwmans, Thierry},
  URL = {https://hal.science/hal-04263887},
  BOOKTITLE = {{2023 IEEE International Conference on Image Processing (ICIP)}},
  ADDRESS = {Kuala Lumpur, Malaysia},
  PUBLISHER = {{IEEE}},
  PAGES = {2730-2734},
  YEAR = {2023},
  MONTH = Oct,
  DOI = {10.1109/ICIP49359.2023.10222668},
  KEYWORDS = {Training ; Signal processing algorithms ; Lighting ; Object segmentation ; Predictive models ; Signal processing ; Prediction algorithms ; Background Subtraction ; Foreground Detection ; Graph Neural Network},
  PDF = {https://hal.science/hal-04263887v1/file/2305.09585v1.pdf},
  HAL_ID = {hal-04263887},
  HAL_VERSION = {v1},
}

@inproceedings{spadaro:hal-04269159,
  TITLE = {{Shannon Strikes Again! Entropy-Based Pruning in Deep Neural Networks for Transfer Learning Under Extreme Memory and Computation Budgets}},
  AUTHOR = {Spadaro, Gabriele and Renzulli, Riccardo and Bragagnolo, Andrea and Giraldo, Jhony H. and Fiandrotti, Attilio and Grangetto, Marco and Tartaglione, Enzo},
  URL = {https://hal.science/hal-04269159},
  BOOKTITLE = {{Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}},
  ADDRESS = {Paris, France},
  PAGES = {1518-1522},
  YEAR = {2023},
  MONTH = Oct,
  PDF = {https://hal.science/hal-04269159v1/file/Transfer_Learning_Pruning%20%281%29.pdf},
  HAL_ID = {hal-04269159},
  HAL_VERSION = {v1},
}

@inproceedings{spadaro:hal-05016997,
  TITLE = {{ALICE: Adapt your Learnable Image Compression modEl for variable bitrates}},
  AUTHOR = {Spadaro, Gabriele and Ali, Muhammad Salman and Presta, Alberto and Pilo, Giommaria and Bae, Sung-Ho and Giraldo, Jhony and Fiandrotti, Attilio and Grangetto, Marco and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05016997},
  BOOKTITLE = {{2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)}},
  ADDRESS = {Tokyo, Japan},
  PUBLISHER = {{IEEE}},
  PAGES = {1-5},
  YEAR = {2024},
  MONTH = Dec,
  DOI = {10.1109/VCIP63160.2024.10849832},
  KEYWORDS = {Training ; Adaptation models ; Image coding ; Costs ; Visual communication ; Transmitters ; Bit rate ; Receivers ; Transformers ; Decoding},
  HAL_ID = {hal-05016997},
  HAL_VERSION = {v1},
}

@inproceedings{presta:hal-05016859,
  TITLE = {{Domain Adaptation for Learned Image Compression with Supervised Adapters}},
  AUTHOR = {Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05016859},
  BOOKTITLE = {{2024 Data Compression Conference (DCC)}},
  ADDRESS = {Snowbird, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {33-42},
  YEAR = {2024},
  MONTH = Mar,
  DOI = {10.1109/DCC58796.2024.00011},
  KEYWORDS = {gate network ; supervised adapters ; Domain adaptation ; Learned Image compression ; Data compression ; Rate-distortion ; Computational modeling ; Codecs ; Image coding ; Adaptation models ; Training},
  PDF = {https://telecom-paris.hal.science/hal-05016859v1/file/2404.15591v1.pdf},
  HAL_ID = {hal-05016859},
  HAL_VERSION = {v1},
}

@inproceedings{liao:hal-04254405,
  TITLE = {{Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?}},
  AUTHOR = {Liao, Zhu and Qu{\'e}tu, Victor and Nguyen, Van-Tam and Tartaglione, Enzo},
  URL = {https://hal.science/hal-04254405},
  BOOKTITLE = {{Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}},
  ADDRESS = {Paris, France},
  YEAR = {2023},
  MONTH = Oct,
  HAL_ID = {hal-04254405},
  HAL_VERSION = {v1},
}

@inproceedings{nguyen:hal-04254088,
  TITLE = {{AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results}},
  AUTHOR = {Nguyen, Van-Tam and Tartaglione, Enzo and Dinh, Tuan},
  URL = {https://hal.science/hal-04254088},
  BOOKTITLE = {{2023 IEEE Statistical Signal Processing Workshop (SSP)}},
  ADDRESS = {Hanoi, Vietnam},
  PUBLISHER = {{IEEE}},
  PAGES = {705-709},
  YEAR = {2023},
  MONTH = Jul,
  DOI = {10.1109/SSP53291.2023.10208067},
  KEYWORDS = {Training ; Neuroplasticity ; Wearable computers ; Neurons ; Signal processing ; Feature extraction ; Physiology},
  HAL_ID = {hal-04254088},
  HAL_VERSION = {v1},
}

@inproceedings{quelennec:hal-05016295,
  TITLE = {{Towards On-Device Learning on the Edge: Ways to Select Neurons to Update Under a Budget Constraint}},
  AUTHOR = {Qu{\'e}lennec, A{\"e}l and Tartaglione, Enzo and Mozharovskyi, Pavlo and Nguyen, Van-Tam},
  URL = {https://telecom-paris.hal.science/hal-05016295},
  BOOKTITLE = {{2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)}},
  ADDRESS = {Waikoloa, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {685-694},
  YEAR = {2024},
  MONTH = Jan,
  DOI = {10.1109/WACVW60836.2024.00080},
  KEYWORDS = {Backpropagation ; Computer vision ; Costs ; Conferences ; Computational modeling ; Neurons ; Memory management},
  HAL_ID = {hal-05016295},
  HAL_VERSION = {v1},
}

@inproceedings{girard:hal-05208666,
  TITLE = {{Memory-Optimized Once-For-All Network}},
  AUTHOR = {Girard, Maxime and Qu{\'e}tu, Victor and Tardieu, Samuel and Nguyen, Van-Tam and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05208666},
  BOOKTITLE = {{Computer Vision -- ECCV 2024 WorkshopsMilan, Italy, September 29--October 4, 2024, Proceedings, Part XI}},
  ADDRESS = {Milan, Italy},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {15633},
  PAGES = {252-267},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-91979-4\_19},
  HAL_ID = {hal-05208666},
  HAL_VERSION = {v1},
}

@inproceedings{li:hal-04592480,
  TITLE = {{SCoTTi: Save Computation at Training Time with an adaptive framework}},
  AUTHOR = {Li, Ziyu and Tartaglione, Enzo and Nguyen, Van-Tam},
  URL = {https://hal.science/hal-04592480},
  BOOKTITLE = {{2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)}},
  ADDRESS = {Paris, France},
  PUBLISHER = {{IEEE}},
  PAGES = {1435-1444},
  YEAR = {2023},
  MONTH = Oct,
  DOI = {10.1109/ICCVW60793.2023.00156},
  KEYWORDS = {Computer architecture ; Resource Consumption Optimization ; Edge Intelligence ; Neuron Equilibrium ; On Device Learning ; Deep Learning ; Neurons ; Computational modeling ; Privacy ; Adaptation models ; Performance evaluation ; Training},
  PDF = {https://hal.science/hal-04592480v1/file/Li_SCoTTi_Save_Computation_at_Training_Time_with_an_Adaptive_Framework_ICCVW_2023_paper.pdf},
  HAL_ID = {hal-04592480},
  HAL_VERSION = {v1},
}

@article{castrocorrea:hal-05246532,
  TITLE = {{Semi-supervised graph learning for underwater source localization using ship-of-opportunity spectrograms}},
  AUTHOR = {Castro-Correa, Jhon and Badiey, Mohsen and Giraldo, Jhony and Malliaros, Fragkiskos},
  URL = {https://hal.science/hal-05246532},
  JOURNAL = {{Journal of the Acoustical Society of America}},
  PUBLISHER = {{Acoustical Society of America}},
  VOLUME = {158},
  NUMBER = {3},
  PAGES = {1836-1848},
  YEAR = {2025},
  MONTH = Sep,
  DOI = {10.1121/10.0039042},
  PDF = {https://hal.science/hal-05246532v1/file/Semi_Supervised_Graph_Learning_for_Underwater_Source_Localization_Using_Ship_of_Opportunity_Spectrograms__JASA_.pdf},
  HAL_ID = {hal-05246532},
  HAL_VERSION = {v1},
}

@inproceedings{laurent:hal-04042523,
  TITLE = {{Packed-Ensembles for Efficient Uncertainty Estimation}},
  AUTHOR = {Laurent, Olivier and Lafage, Adrien and Tartaglione, Enzo and Daniel, Geoffrey and Martinez, Jean-Marc and Bursuc, Andrei and Franchi, Gianni},
  URL = {https://hal.science/hal-04042523},
  BOOKTITLE = {{11th International Conference on Learning Representations}},
  ADDRESS = {Kigali, Rwanda},
  YEAR = {2023},
  MONTH = May,
  KEYWORDS = {Ensemble methods ; OOD detection ; Uncertainty estimation ; Ensemble methods ; D{\'e}tection d'OOD ; Estimation des incertitudes ; M{\'e}thodes d'ensembles ; D{\'e}tection d'OOD},
  HAL_ID = {hal-04042523},
  HAL_VERSION = {v1},
}

@inproceedings{dalmasso:hal-05396327,
  TITLE = {{Neural Velocity for hyperparameter tuning}},
  AUTHOR = {Dalmasso, Gianluca and Bragagnolo, Andrea and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco},
  URL = {https://telecom-paris.hal.science/hal-05396327},
  BOOKTITLE = {{2025 International Joint Conference on Neural Networks (IJCNN)}},
  ADDRESS = {Rome, Italy},
  PUBLISHER = {{IEEE}},
  PAGES = {1-8},
  YEAR = {2025},
  MONTH = Jun,
  DOI = {10.1109/IJCNN64981.2025.11229080},
  KEYWORDS = {Training ; Computational modeling ; Transfer functions ; Velocity measurement ; Reliability ; Noise measurement ; Tuning ; Biological neural networks ; Monitoring ; Overfitting},
  HAL_ID = {hal-05396327},
  HAL_VERSION = {v1},
}

@inproceedings{desousatrias:hal-04914101,
  TITLE = {{Find the lady: permutation and re-synchronization of deep neural networks}},
  AUTHOR = {de Sousa Trias, Carl and Mitrea, Mihai Petru and Fiandrotti, Attilio and Cagnazzo, Marco and Chaudhuri, Sumanta and Tartaglione, Enzo},
  URL = {https://hal.science/hal-04914101},
  BOOKTITLE = {{The 38th Annual AAAI Conference on Artificial Intelligence(AAAI)}},
  ADDRESS = {Vancouver, Canada},
  SERIES = {AAAI-24 Special Track Safe, Robust and Responsible AI Track},
  VOLUME = {38},
  NUMBER = {19},
  PAGES = {21001-21009},
  YEAR = {2024},
  MONTH = Feb,
  DOI = {10.1609/aaai.v38i19.30091},
  KEYWORDS = {Deep neural network ; Neuron ; Neural network},
  PDF = {https://hal.science/hal-04914101v1/file/30091-Article%20Text-34145-1-2-20240324.pdf},
  HAL_ID = {hal-04914101},
  HAL_VERSION = {v1},
}

@inproceedings{marouf:hal-04365041,
  TITLE = {{Mini but Mighty: Finetuning ViTs with Mini Adapters}},
  AUTHOR = {Marouf, Imad Eddine and Tartaglione, Enzo and Lathuili{\`e}re, St{\'e}phane},
  URL = {https://telecom-paris.hal.science/hal-04365041},
  NOTE = {WACV2024},
  BOOKTITLE = {{2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}},
  ADDRESS = {Waikoloa, HI, USA, United States},
  PUBLISHER = {{IEEE}},
  PAGES = {1721-1730},
  YEAR = {2024},
  MONTH = Jan,
  DOI = {10.1109/WACV57701.2024.00175},
  KEYWORDS = {Training ; Computer vision ; Costs ; Neurons ; Transfer learning ; Estimation ; Computer architecture ; Algorithms ; Machine learning architectures ; Formulations},
  HAL_ID = {hal-04365041},
  HAL_VERSION = {v1},
}

@inproceedings{wang:hal-04254122,
  TITLE = {{Optimized preprocessing and Tiny ML for Attention State Classification}},
  AUTHOR = {Wang, Yinghao and Nahon, R{\'e}mi and Tartaglione, Enzo and Mozharovskyi, Pavlo and Nguyen, Van-Tam},
  URL = {https://hal.science/hal-04254122},
  BOOKTITLE = {{2023 IEEE Statistical Signal Processing Workshop (SSP)}},
  ADDRESS = {Hanoi, Vietnam},
  PUBLISHER = {{IEEE}},
  PAGES = {695-699},
  YEAR = {2023},
  MONTH = Jul,
  DOI = {10.1109/SSP53291.2023.10207930},
  KEYWORDS = {Classification algorithms ; Electroencephalography ; Feature extraction ; Machine learning ; Medical services ; Signal processing algorithms ; Machine learning algorithms},
  PDF = {https://hal.science/hal-04254122v1/file/2303.11371v1.pdf},
  HAL_ID = {hal-04254122},
  HAL_VERSION = {v1},
}

@inproceedings{bragagnolo:hal-03853699,
  TITLE = {{To update or not to update? Neurons at equilibrium in deep models}},
  AUTHOR = {Bragagnolo, Andrea and Tartaglione, Enzo and Grangetto, Marco},
  URL = {https://hal.science/hal-03853699},
  BOOKTITLE = {{36th Conference on Neural Information Processing Systems (NeurIPS 2022)}},
  ADDRESS = {New Orleans, United States},
  YEAR = {2022},
  MONTH = Nov,
  HAL_ID = {hal-03853699},
  HAL_VERSION = {v1},
}

@inproceedings{nguyen:hal-05209766,
  TITLE = {{Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning}},
  AUTHOR = {Nguyen, Le-Trung and Qu{\'e}lennec, A{\"e}l and Nguyen, van Tam and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05209766},
  BOOKTITLE = {{Forty-second International Conference on Machine Learning}},
  ADDRESS = {Vancouver (Canada), Canada},
  VOLUME = {Forty-second International Conference on Machine Learning},
  YEAR = {2025},
  MONTH = Jul,
  HAL_ID = {hal-05209766},
  HAL_VERSION = {v1},
}

@inproceedings{nguyen:hal-05208865,
  TITLE = {{Activation Map Compression through Tensor Decomposition for Deep Learning}},
  AUTHOR = {Nguyen, Le-Trung and Qu{\'e}lennec, A{\"e}l and Tartaglione, Enzo and Tardieu, Samuel and Nguyen, van Tam},
  URL = {https://telecom-paris.hal.science/hal-05208865},
  BOOKTITLE = {{NeurIPS 2024 : The 38th Annual Conference on Neural Information Processing Systems}},
  ADDRESS = {Vancouver, Canada},
  YEAR = {2024},
  MONTH = Dec,
  HAL_ID = {hal-05208865},
  HAL_VERSION = {v1},
}

@inproceedings{tran:hal-05492561,
  TITLE = {{RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting}},
  AUTHOR = {Tran, Hoang-Nhat and Di Sario, Francesco and Spadaro, Gabriele and Valenzise, Giuseppe and Tartaglione, Enzo},
  URL = {https://centralesupelec.hal.science/hal-05492561},
  BOOKTITLE = {{Proc. 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing}},
  ADDRESS = {Barcelona (ES), Spain},
  PUBLISHER = {{IEEE}},
  PAGES = {11727-11731},
  YEAR = {2026},
  MONTH = May,
  DOI = {10.1109/ICASSP55912.2026.11463333},
  KEYWORDS = {dynamic rate Distortion Rate ; compression ; 3D Gaussian Splatting ; 3D Gaussian Splatting compression dynamic rate Distortion Rate},
  PDF = {https://centralesupelec.hal.science/hal-05492561v1/file/ICASSP25_3DGSmultirateinterpolation%20CR.pdf},
  HAL_ID = {hal-05492561},
  HAL_VERSION = {v1},
}

@inproceedings{marouf:hal-05460430,
  TITLE = {{Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering}},
  AUTHOR = {Marouf, Imad Eddine and Tartaglione, Enzo and Lathuili{\`e}re, St{\'e}phane and van de Weijer, Joost},
  URL = {https://hal.science/hal-05460430},
  BOOKTITLE = {{ICCV 2025 - International Conference on Computer Vision}},
  ADDRESS = {Honolulu, United States},
  PAGES = {1-13},
  YEAR = {2025},
  MONTH = Oct,
  PDF = {https://hal.science/hal-05460430v1/file/2502.04469v2.pdf},
  HAL_ID = {hal-05460430},
  HAL_VERSION = {v1},
}

@inproceedings{liao:hal-05191075,
  TITLE = {{Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.}},
  AUTHOR = {Liao, Zhu and Hezbri, Nour and Qu{\'e}tu, Victor and Nguyen, Van-Tam and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05191075},
  BOOKTITLE = {{Proceedings of the AAAI Conference on Artificial Intelligence :  AAAI Technical Track on Machine Learning IV}},
  ADDRESS = {Philadelphia (U.S.A.), United States},
  ORGANIZATION = {{Association for the Advancement of Artificial Intelligence}},
  PUBLISHER = {{AAAI Press : Association for the Advancement of Artificial Intelligence}},
  VOLUME = {39},
  NUMBER = {18},
  PAGES = {18702-18710},
  YEAR = {2025},
  MONTH = Feb,
  DOI = {10.1609/aaai.v39i18.34058},
  HAL_ID = {hal-05191075},
  HAL_VERSION = {v1},
}

@inproceedings{marouf:hal-04794134,
  TITLE = {{Weighted Ensemble Models Are Strong Continual Learners}},
  AUTHOR = {Marouf, Imad Eddine and Roy, Subhankar and Tartaglione, Enzo and Lathuili{\`e}re, St{\'e}phane},
  URL = {https://hal.science/hal-04794134},
  NOTE = {Accepted for ECCV2024, Code: https://github.com/IemProg/CoFiMA},
  BOOKTITLE = {{18th European Conference on Computer Vision ECCV 2024}},
  ADDRESS = {Milan, Italy},
  PUBLISHER = {{Springer Nature}},
  SERIES = {Lecture Notes in Computer Science (LNCS,volume 15129)},
  PAGES = {306--324},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-73209-6\_18},
  KEYWORDS = {Continual Learning ; Model Averaging},
  HAL_ID = {hal-04794134},
  HAL_VERSION = {v1},
}

@inproceedings{xie:hal-05490526,
  TITLE = {{Subgraph Gaussian Embedding Contrast for~Self-supervised Graph Representation Learning}},
  AUTHOR = {Xie, Shifeng and Einizade, Aref and Giraldo, Jhony},
  URL = {https://hal.science/hal-05490526},
  BOOKTITLE = {{Lecture Notes in Computer Science}},
  ADDRESS = {Porto, France},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {16018},
  PAGES = {430-447},
  YEAR = {2025},
  MONTH = Sep,
  DOI = {10.1007/978-3-032-06106-5\_25},
  KEYWORDS = {self-supervised learning ; graph representation learning ; Subgraph Gaussian embeddings},
  PDF = {https://hal.science/hal-05490526v1/file/Subgraph_Gaussian_Embedding_Contrast___ECML__Arxiv.pdf},
  HAL_ID = {hal-05490526},
  HAL_VERSION = {v1},
}

@inproceedings{nahon:hal-05016871,
  TITLE = {{Debiasing Surgeon: Fantastic Weights and~How to~Find Them}},
  AUTHOR = {Nahon, R{\'e}mi and de Moura Matos, Ivan Luiz and Nguyen, Van-Tam and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05016871},
  BOOKTITLE = {{The 18th European Conference on Computer Vision ECCV 2024}},
  ADDRESS = {Milan (Italie), Italy},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {15143},
  PAGES = {435-452},
  YEAR = {2024},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-73013-9\_25},
  KEYWORDS = {Debiasing ; Pruning ; Freezed model ; Deep learning},
  HAL_ID = {hal-05016871},
  HAL_VERSION = {v1},
}

@inproceedings{nahon:hal-04347752,
  TITLE = {{Mining bias-target Alignment from Voronoi Cells}},
  AUTHOR = {Nahon, R{\'e}mi and Nguyen, Van-Tam and Tartaglione, Enzo},
  URL = {https://hal.science/hal-04347752},
  BOOKTITLE = {{Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}},
  ADDRESS = {Paris, France},
  YEAR = {2023},
  MONTH = Oct,
  HAL_ID = {hal-04347752},
  HAL_VERSION = {v1},
}

@article{olivi:hal-05191065,
  TITLE = {{Efficient adaptation of deep neural networks for semantic segmentation in space applications}},
  AUTHOR = {Olivi, Leonardo and Santero Mormile, Edoardo and Tartaglione, Enzo},
  URL = {https://telecom-paris.hal.science/hal-05191065},
  JOURNAL = {{Scientific Reports}},
  PUBLISHER = {{Nature Publishing Group}},
  VOLUME = {15},
  NUMBER = {1},
  PAGES = {18046 (1-14)},
  YEAR = {2025},
  MONTH = May,
  DOI = {10.1038/s41598-025-99192-5},
  KEYWORDS = {Deep neural networks ; Semantic segmentaion},
  PDF = {https://telecom-paris.hal.science/hal-05191065v1/file/s41598-025-99192-5.pdf},
  HAL_ID = {hal-05191065},
  HAL_VERSION = {v1},
}

@inproceedings{doan:hal-05537214,
  TITLE = {{INSTANT: COMPRESSING GRADIENTS AND ACTIVATIONS FOR RESOURCE-EFFICIENT TRAINING}},
  AUTHOR = {Doan, Tuan-Kiet and Tran, Trung-Hieu and Tartaglione, Enzo and Simidjievski, Nikola and Nguyen, Van-Tam},
  URL = {https://hal.science/hal-05537214},
  BOOKTITLE = {{The Fourteenth International Conference on Learning Representations}},
  ADDRESS = {Rio de Janeiro, Brazil},
  YEAR = {2026},
  MONTH = Apr,
  KEYWORDS = {Gradient Compression ; Activation Compression ; Resource-Constraint Training},
  PDF = {https://hal.science/hal-05537214v1/file/INSTANT.pdf},
  HAL_ID = {hal-05537214},
  HAL_VERSION = {v1},
}

@article{ali:hal-05561474,
  TITLE = {{Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions}},
  AUTHOR = {Ali, Muhammad Salman and Zhang, Chaoning and Cagnazzo, Marco and Valenzise, Giuseppe and Tartaglione, Enzo and Bae, Sung-Ho},
  URL = {https://centralesupelec.hal.science/hal-05561474},
  JOURNAL = {{IEEE Transactions on Circuits and Systems for Video Technology}},
  PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
  PAGES = {1-1},
  YEAR = {2026},
  MONTH = Mar,
  DOI = {10.1109/TCSVT.2026.3676048},
  KEYWORDS = {Compression Scheme ; Scene Representation ; Resource-constrained Devices ; Quantum ; Hierarchical Structure ; Source Code ; Point Cloud ; Peak Signal-to-noise Ratio ; Reconstruction Quality ; Edge Devices ; 3D Scene ; Low-power Devices ; Frames Per Second ; Compression Efficiency ; Vector Quantization ; Structural Similarity Index Measure ; Entropy Coding ; Scene Reconstruction ; Gaussian Parameters ; Static Scenes ; Spherical Harmonic Coefficients ; Scalability ; Rendering (computer graphics) ; Three-dimensional displays ; Surveys ; Neural radiance field ; Solid modeling ; Computational modeling ; Taxonomy ; Videos ; Compression Method ; Point cloud compression ; 3D Gaussian ; Scalable ; 3D Reconstruction ; 3D Representation ; Storage Requirements ; Compression Ratio ; Computer Graphics ; Explicit Representation},
  PDF = {https://centralesupelec.hal.science/hal-05561474v1/file/TCSVT_3DGS%20Compression_Survey.pdf},
  HAL_ID = {hal-05561474},
  HAL_VERSION = {v1},
}



@inproceedings{biatek:hal-04510087,
  TITLE = {{End-to-End Delivery of VVC Multicast Services over 5G Mobile Network}},
  AUTHOR = {Biatek, Thibaud and Burdinat, Christophe and Raulet, Micka{\"e}l and Wieckowski, Adam and Bross, Benjamin and Le Feuvre, J.},
  URL = {https://telecom-paris.hal.science/hal-04510087},
  BOOKTITLE = {{International Conference on Image Processing}},
  ADDRESS = {Bordeaux, France},
  YEAR = {2022},
  MONTH = Oct,
  HAL_ID = {hal-04510087},
  HAL_VERSION = {v1},
}

@inproceedings{wieckowski:hal-03721345,
  TITLE = {{A Complete End to End Open Source Toolchain for the Versatile Video Coding (VVC) Standard}},
  AUTHOR = {Wieckowski, Adam and Lehmann, Christian and Bross, Benjamin and Marpe, Detlev and Biatek, Thibaud and Raulet, Mikael and Le Feuvre, Jean},
  URL = {https://telecom-paris.hal.science/hal-03721345},
  BOOKTITLE = {{MM '21: ACM Multimedia Conference}},
  ADDRESS = {Virtual Event China, France},
  PUBLISHER = {{ACM}},
  PAGES = {3795-3798},
  YEAR = {2021},
  MONTH = Oct,
  DOI = {10.1145/3474085.3478320},
  HAL_ID = {hal-03721345},
  HAL_VERSION = {v1},
}

@inproceedings{mimouni:hal-04628484,
  TITLE = {{Towards Efficient Exploitation of Large Knowledge Bases by Context Graphs}},
  AUTHOR = {Mimouni, Nada and Moissinac, Jean-Claude},
  URL = {https://telecom-paris.hal.science/hal-04628484},
  BOOKTITLE = {{SEMANTICS 2024}},
  ADDRESS = {Amsterdam, Netherlands},
  YEAR = {2024},
  MONTH = Sep,
  KEYWORDS = {Knowledge base Context graph Similarity DBpedia Joconde database ; Knowledge base ; Context graph ; Similarity ; DBpedia ; Joconde database},
  PDF = {https://telecom-paris.hal.science/hal-04628484v1/file/Context_graph_introduction___SEMANTiCS_2024-4.pdf},
  HAL_ID = {hal-04628484},
  HAL_VERSION = {v1},
}

@inproceedings{einizade:hal-04896043,
  TITLE = {{Continuous Product Graph Neural Networks}},
  AUTHOR = {Einizade, Aref and Malliaros, Fragkiskos D. and Giraldo, Jhony H.},
  URL = {https://hal.science/hal-04896043},
  NOTE = {20 pages, 5 figures},
  BOOKTITLE = {{NeurIPS 2024 - 38th Conference on Neural Information Processing Systems}},
  ADDRESS = {Vancouver (BC), Canada},
  YEAR = {2024},
  MONTH = Dec,
  PDF = {https://hal.science/hal-04896043v1/file/CITRUS_NeurIPS_2024.pdf},
  HAL_ID = {hal-04896043},
  HAL_VERSION = {v1},
}

@inproceedings{giraldo:hal-03841925,
  TITLE = {{Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation}},
  AUTHOR = {Giraldo, Jhony and Scarrica, Vincenzo and Staiano, Antonino and Camastra, Francesco and Bouwmans, Thierry},
  URL = {https://hal.science/hal-03841925},
  BOOKTITLE = {{2022 IEEE International Conference on Image Processing (ICIP)}},
  ADDRESS = {Bordeaux, France},
  PUBLISHER = {{IEEE}},
  PAGES = {16-20},
  YEAR = {2022},
  MONTH = Oct,
  DOI = {10.1109/ICIP46576.2022.9897774},
  KEYWORDS = {Feature extraction ; Computer architecture ; Semantics ; Computational modeling ; Convolution ; Computer vision ; Deep learning},
  PDF = {https://hal.science/hal-03841925v1/file/2210.05564v1.pdf},
  HAL_ID = {hal-03841925},
  HAL_VERSION = {v1},
}

@incollection{prummel:hal-05115640,
  TITLE = {{A Transductive and Inductive GNNs for Physical Moving Objects Detection in Surface Scenes for Digital Twins}},
  AUTHOR = {Prummel, Wieke and Giraldo, Jhony and Subudhi, Badri and Zakharova, Anastasia and Bouwmans, Thierry},
  URL = {https://hal.science/hal-05115640},
  BOOKTITLE = {{Digital Twins and Simulation Technology}},
  PUBLISHER = {{Chapman and Hall/CRC}},
  NUMBER = {1},
  PAGES = {133-149},
  YEAR = {2025},
  MONTH = Jun,
  DOI = {10.1201/9781003582489-10},
  KEYWORDS = {Moving Object Detection ; Graph Neural Networks},
  HAL_ID = {hal-05115640},
  HAL_VERSION = {v1},
}

@inproceedings{moissinac:hal-03281577,
  TITLE = {{Annotations s{\'e}mantiques de textes li{\'e}s {\`a} l'h{\'e}ritage culturel fran{\c c}ais}},
  AUTHOR = {Moissinac, Jean-Claude Jc},
  URL = {https://telecom-paris.hal.science/hal-03281577},
  BOOKTITLE = {{EGC-DAHLIA}},
  ADDRESS = {Montpellier, France},
  YEAR = {2021},
  HAL_ID = {hal-03281577},
  HAL_VERSION = {v1},
}

@article{biatek:hal-03721361,
  TITLE = {{Versatile Video Coding for 3.0 Next Generation Digital TV in Brazil}},
  AUTHOR = {Biatek, Thibaud and Abdoli, Mohsen and Raulet, Mickael and Wieckowski, Adam and Lehman, Christian and Bross, Benjamin and de Lagrange, Philippe and Fran{\c c}ois, Edouard and Schaefer, Ralf and Le Feuvre, Jean},
  URL = {https://telecom-paris.hal.science/hal-03721361},
  JOURNAL = {{SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING}},
  VOLUME = {2021},
  NUMBER = {1},
  PAGES = {9-17},
  YEAR = {2021},
  MONTH = Dec,
  DOI = {10.18580/setijbe.2021.1},
  HAL_ID = {hal-03721361},
  HAL_VERSION = {v1},
}

@article{moissinac:hal-03281527,
  TITLE = {{Data\&Mus{\'e}e : de nouveaux usages s{\'e}mantiques du big data culturel en France}},
  AUTHOR = {Moissinac, Jean-Claude Jc and Wadhera, Piyush},
  URL = {https://telecom-paris.hal.science/hal-03281527},
  JOURNAL = {{Histoire de l'art}},
  PUBLISHER = {{Association des professeurs d'arch{\'e}ologie et d'histoire de l'art des universit{\'e}s -- APAHAU [1988-....]}},
  YEAR = {2021},
  HAL_ID = {hal-03281527},
  HAL_VERSION = {v1},
}