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\n  \n 2025\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Method for learned image compression and related autoencoder.\n \n \n \n \n\n\n \n Presta, A.; Fiandrotti, A.; Tartaglione, E.; and Grangetto, M.\n\n\n \n\n\n\n 2025.\n US Patent App. 18/758,390\n\n\n\n
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@misc{presta2023method,\n  title={Method for learned image compression and related autoencoder},\n  author={Presta, Alberto and Fiandrotti, Attilio and Tartaglione, Enzo and Grangetto, Marco},\n  year={2025},\n  note={US Patent App. 18/758,390},\n  url={https://www.freepatentsonline.com/y2025/0088648.html}\n}\n
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\n  \n 2024\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n METHOD FOR REDUCING LATENCY IN VIDEO TRANSMISSION.\n \n \n \n\n\n \n VIJAYARATNAM Melan, C. M.; and VALENZISE Giuseppe, T. E.\n\n\n \n\n\n\n 2024.\n European patent application No. PI025513/MVA/FTA/STO\n\n\n\n
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@misc{spadaro2024method,\n  title={METHOD FOR REDUCING LATENCY IN VIDEO TRANSMISSION},\n  author={VIJAYARATNAM Melan, CAGNAZZO Marco, VALENZISE Giuseppe, TARTAGLIONE Enzo},\n  year={2024},\n  note={European patent application No. PI025513/MVA/FTA/STO}\n}\n
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\n \n\n \n \n \n \n \n \n METHOD FOR LEARNED IMAGE DECOMPRESSION AND RELATED DECODER NETWORK AND DECODER-ENCODER ARCHITECTURE.\n \n \n \n \n\n\n \n Presta, A.; Spadaro, G.; Tartaglione, E.; Fiandrotti, A.; Grangetto, M.; and others\n\n\n \n\n\n\n 2024.\n \n\n\n\n
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@misc{presta2024method,\n  title={METHOD FOR LEARNED IMAGE DECOMPRESSION AND RELATED DECODER NETWORK AND DECODER-ENCODER ARCHITECTURE},\n  author={Presta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marco and others},\n  year={2024},\n  url={https://iris.unito.it/bitstream/2318/2037770/2/DCC_adapter.pdf}\n}\n
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\n \n\n \n \n \n \n \n \n METHOD FOR LEARNED IMAGE COMPRESSION AND RELATED AUTOENCODER.\n \n \n \n \n\n\n \n Presta, A.; Fiandrotti, A.; Grangetto, M.; Tartaglione, E.; and others\n\n\n \n\n\n\n 2024.\n \n\n\n\n
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@misc{presta2024method,\n  title={METHOD FOR LEARNED IMAGE COMPRESSION AND RELATED AUTOENCODER},\n  author={Presta, Alberto and Fiandrotti, Attilio and Grangetto, Marco and Tartaglione, Enzo and others},\n  year={2024},\n  url={https://iris.unito.it/handle/2318/2037386}\n}\n\n
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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n METHOD FOR ENHANCED IMAGE ENCODING AND DECODING USING A GRAPH-BASED ATTENTION BLOCK, AND RELATED ENCODER AND DECODER.\n \n \n \n\n\n \n Spadaro, G.; Presta, A.; Tartaglione, E.; Giraldo Zuluaga, J. H.; Grangetto, M.; and Fiandrotti, A.\n\n\n \n\n\n\n 2023.\n Italian patent application No. 102024000021524\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
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@misc{spadaro2024method,\n  title={METHOD FOR ENHANCED IMAGE ENCODING AND DECODING USING A GRAPH-BASED ATTENTION BLOCK, AND RELATED ENCODER AND DECODER},\n  author={Spadaro, Gabriele and Presta, Alberto and Tartaglione, Enzo and Giraldo Zuluaga, Jhony Heriberto and Grangetto, Marco and Fiandrotti, Attilio},\n  year={2023},\n  note={Italian patent application No. 102024000021524}\n}\n\n
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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Method and apparatus for pruning neural networks.\n \n \n \n \n\n\n \n Tartaglione, E.; Grangetto, M.; ; Odierna, F.; Bragagnolo, A.; and Fiandrotti, A.\n\n\n \n\n\n\n april 13 2022.\n US Patent App. 17/251,508\n\n\n\n
\n\n\n\n \n \n \"MethodPaper\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
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@misc{tartaglione2022method,\n  title={Method and apparatus for pruning neural networks},\n  author={Tartaglione, Enzo and Grangetto, Marco and and Odierna, Francesco and Bragagnolo, Andrea and Fiandrotti, Attilio},\n  year={2022},\n  month=april # "~13",\n  note={US Patent App. 17/251,508},\n  url={https://patentimages.storage.googleapis.com/ad/94/26/67226b0ad06a5f/US20220284298A1.pdf}\n}\n
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\n  \n 2021\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Neural networks having reduced number of parameters.\n \n \n \n \n\n\n \n Fiandrotti, A.; Francini, G.; Lepsoy, S.; and Tartaglione, E.\n\n\n \n\n\n\n May 13 2021.\n US Patent App. 17/251,508\n\n\n\n
\n\n\n\n \n \n \"NeuralPaper\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
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@misc{fiandrotti2021neural,\n  title={Neural networks having reduced number of parameters},\n  author={Fiandrotti, Attilio and Francini, Gianluca and Lepsoy, Skjalg and Tartaglione, Enzo},\n  year={2021},\n  month=may # "~13",\n  publisher={Google Patents},\n  note={US Patent App. 17/251,508},\n  url={https://patentimages.storage.googleapis.com/43/be/92/341f4abfdb2ab8/US20210142175A1.pdf}\n}\n
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