var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/show?bib=https%3A%2F%2Fbibbase.org%2Ff%2FeigNBhSMoESt5Ygkm%2Fpreprints.bib&jsonp=1&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/show?bib=https%3A%2F%2Fbibbase.org%2Ff%2FeigNBhSMoESt5Ygkm%2Fpreprints.bib&jsonp=1\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/show?bib=https%3A%2F%2Fbibbase.org%2Ff%2FeigNBhSMoESt5Ygkm%2Fpreprints.bib&jsonp=1\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
    2. \n
  2. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
    3. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2025\n \n \n (7)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Memory Constrained Dynamic Subnetwork Update for Transfer Learning.\n \n \n \n\n\n \n Quélennec, A.; Mozharovskyi, P.; Nguyen, V.; and Tartaglione, E.\n\n\n \n\n\n\n arXiv preprint arXiv:2510.20979. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{quelennec2025memory,\n  title={Memory Constrained Dynamic Subnetwork Update for Transfer Learning},\n  author={Qu{\\'e}lennec, A{\\"e}l and Mozharovskyi, Pavlo and Nguyen, Van-Tam and Tartaglione, Enzo},\n  journal={arXiv preprint arXiv:2510.20979},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The silence of the weights: an investigation of structural pruning strategies for attention-based audio signal architectures.\n \n \n \n\n\n \n Diecidue, A.; Barbano, C. A.; Fraternali, P.; Fontaine, M.; and Tartaglione, E.\n\n\n \n\n\n\n arXiv preprint arXiv:2509.26207. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{diecidue2025silence,\n  title={The silence of the weights: an investigation of structural pruning strategies for attention-based audio signal architectures},\n  author={Diecidue, Andrea and Barbano, Carlo Alberto and Fraternali, Piero and Fontaine, Mathieu and Tartaglione, Enzo},\n  journal={arXiv preprint arXiv:2509.26207},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Feature-aware Hypergraph Generation via Next-Scale Prediction.\n \n \n \n\n\n \n Gailhard, D.; Tartaglione, E.; Naviner, L.; and Giraldo, J. H\n\n\n \n\n\n\n arXiv preprint arXiv:2506.01467. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{gailhard2025feature,\n  title={Feature-aware Hypergraph Generation via Next-Scale Prediction},\n  author={Gailhard, Dorian and Tartaglione, Enzo and Naviner, Lirida and Giraldo, Jhony H},\n  journal={arXiv preprint arXiv:2506.01467},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization.\n \n \n \n\n\n \n Mazouz, A.; Chaudhuri, S.; Cagnanzzo, M.; Mitrea, M.; Tartaglione, E.; and Fiandrotti, A.\n\n\n \n\n\n\n arXiv preprint arXiv:2503.04832. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{mazouz2025lightweight,\n  title={Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization},\n  author={Mazouz, Alaa and Chaudhuri, Sumanta and Cagnanzzo, Marco and Mitrea, Mihai and Tartaglione, Enzo and Fiandrotti, Attilio},\n  journal={arXiv preprint arXiv:2503.04832},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Security and real-time fpga integration for learned image compression.\n \n \n \n\n\n \n Mazouz, A.; Tria, C. D. S.; Chaudhuri, S.; Fiandrotti, A.; Cagnanzzo, M.; Mitrea, M.; and Tartaglione, E.\n\n\n \n\n\n\n arXiv preprint arXiv:2503.04867. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{mazouz2025security,\n  title={Security and real-time fpga integration for learned image compression},\n  author={Mazouz, Alaa and Tria, Carl De Sousa and Chaudhuri, Sumanta and Fiandrotti, Attilio and Cagnanzzo, Marco and Mitrea, Mihai and Tartaglione, Enzo},\n  journal={arXiv preprint arXiv:2503.04867},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions.\n \n \n \n \n\n\n \n Salman Ali, M.; Zhang, C.; Cagnazzo, M.; Valenzise, G.; Tartaglione, E.; and Bae, S.\n\n\n \n\n\n\n arXiv e-prints. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"CompressionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{salman2025compression,\n  title={Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions},\n  author={Salman Ali, Muhammad and Zhang, Chaoning and Cagnazzo, Marco and Valenzise, Giuseppe and Tartaglione, Enzo and Bae, Sung-Ho},\n  journal={arXiv e-prints},\n  url={https://arxiv.org/pdf/2502.19457},\n  year={2025}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression.\n \n \n \n \n\n\n \n Di Sario, F.; Renzulli, R.; Grangetto, M.; Sugimoto, A.; and Tartaglione, E.\n\n\n \n\n\n\n arXiv preprint arXiv:2501.13558. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"GoDe:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{di2025gode,\n  title={GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression},\n  author={Di Sario, Francesco and Renzulli, Riccardo and Grangetto, Marco and Sugimoto, Akihiro and Tartaglione, Enzo},\n  journal={arXiv preprint arXiv:2501.13558},\n  year={2025},\n  url={https://arxiv.org/pdf/2501.13558}\n}\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2024\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer.\n \n \n \n \n\n\n \n Liao, Z.; Quétu, V.; Nguyen, V.; and Tartaglione, E.\n\n\n \n\n\n\n arXiv preprint arXiv:2404.16890. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"NEPENTHE:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{liao2024nepenthe,\n  title={NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer},\n  author={Liao, Zhu and Qu{\\'e}tu, Victor and Nguyen, Van-Tam and Tartaglione, Enzo},\n  journal={arXiv preprint arXiv:2404.16890},\n  year={2024},\n  url={https://arxiv.org/pdf/2404.16890}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);