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On closed-form expressions for the Fisher–Rao distanceinformation geometry, 2024, 7, pp.311-354. ⟨10.1007/s41884-024-00143-2⟩
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Context-Tree-Based Lossy Compression and Its Application to CSI RepresentationIEEE Transactions on Communications, 2022, 70 (7), pp.4417-4428. ⟨10.1109/TCOMM.2022.3173002⟩
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The Fisher–Rao loss for learning under label noiseinformation geometry, 2022, 6, pp.107-126. ⟨10.1007/s41884-022-00076-8⟩
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Constructive Spherical Codes by Hopf FoliationsIEEE Transactions on Information Theory, 2021, 67 (12), pp.7925-7939. ⟨10.1109/TIT.2021.3114094⟩
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On Universal Decoding over Memoryless Channels with the Krichevsky-Trofimov Estimator2024 IEEE International Symposium on Information Theory (ISIT), Jul 2024, Athens, Greece. pp.1498-1503, ⟨10.1109/ISIT57864.2024.10619414⟩
Communication dans un congrès
hal-04720852
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Revisiting Lattice Tiling Decomposition and Dithered QuantisationGeometric Science of Information (GSI), Aug 2023, Saint-Malo, France. pp.318-327, ⟨10.1007/978-3-031-38271-0_31⟩
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hal-04491431
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A CSI Compression Scheme Using Context TreesInternational Zurich Seminar on Information and Communication (IZS 2022), Mar 2022, Zurich, Switzerland. ⟨10.3929/ethz-b-000535273⟩
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Information Properties of a Random Variable Decomposition through Lattices41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), Jul 2022, Paris, France. pp.19, ⟨10.3390/psf2022005019⟩
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Constructive spherical codes in $2^k$ dimensions2019 IEEE International Symposium on Information Theory (ISIT), Jul 2019, Paris, France. pp.1612-1616, ⟨10.1109/ISIT.2019.8849464⟩
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Construction of Spherical Codes Using the Hopf FibrationXXV Congresso de Iniciação Cientifica da Unicamp, Oct 2017, Campinas, Brazil. ⟨10.19146/pibic-2017-78809⟩
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