Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond von Gonon, Antoine, Brisebarre, Nicolas, Gribonval, Rémi, Riccietti, Elisa

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Approximation Speed of Quantized vs. Unquantized ReLU Neural Networks and Beyond von Gonon, Antoine, Brisebarre, Nicolas, Gribonval, Remi, Riccietti, Elisa

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Aimants intégrés submillimétriques pour dispositifs de récupération d’énergie von Gonon, Antoine

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Magnetophoresis-Assisted Capillary Assembly: A Versatile Approach for Fabricating Tailored 3D Magnetic Supercrystals von Moritz, Pierre, Gonon, Antoine, Blon, Thomas, Ratel-Ramond, Nicolas, Mathieu, Fabrice, Farger, Pierre, Asensio-Revert, Juan-Manuel, Cayez, Simon, Bourrier, David, Saya, Daisuke, Nicu, Liviu, Viau, Guillaume, Leïchlé, Thierry, Lacroix, Lise-Marie

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Hybrid Ni–Co–Ni Structures Prepared by Magnetophoresis as Efficient Permanent Magnets for Integration into Microelectromechanical Systems von Moritz, Pierre, Lecerf, Ilona, Gonon, Antoine, Maties, Georgiana, Blon, Thomas, Cayez, Simon, Bourrier, David, Mathieu, Fabrice, Angulo-Cervera, José Elías, Nicu, Liviu, Leïchlé, Thierry, Ondarçuhu, Thierry, Viau, Guillaume, Lacroix, Lise-Marie

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Path-metrics, pruning, and generalization von Gonon, Antoine, Brisebarre, Nicolas, Riccietti, Elisa, Gribonval, Rémi

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Fast inference with Kronecker-sparse matrices von Gonon, Antoine, Zheng, Léon, Carrivain, Pascal, Le, Quoc-Tung

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A path-norm toolkit for modern networks: consequences, promises and challenges von Gonon, Antoine, Brisebarre, Nicolas, Riccietti, Elisa, Gribonval, Rémi

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Approximation speed of quantized vs. unquantized ReLU neural networks and beyond von Gonon, Antoine, Brisebarre, Nicolas, Gribonval, Rémi, Riccietti, Elisa

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Sparsity in neural networks can improve their privacy von Gonon, Antoine, Zheng, Léon, Lalanne, Clément, Le, Quoc-Tung, Lauga, Guillaume, Pouliquen, Can

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Can sparsity improve the privacy of neural networks? von Gonon, Antoine, Zheng, Léon, Lalanne, Clément, Le, Quoc-Tung, Lauga, Guillaume, Pouliquen, Can

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A path-norm toolkit for modern networks: consequences, promises and challenges von Gonon, Antoine, Brisebarre, Nicolas, Riccietti, Elisa, Gribonval, Rémi

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Fast inference with Kronecker-sparse matrices von Gonon, Antoine, Zheng, Léon, Carrivain, Pascal, Quoc-Tung Le

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Compressive Learning for Semi-Parametric Models von Sheehan, Michael P, Gonon, Antoine, Davies, Mike E

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Approximation speed of quantized vs. unquantized ReLU neural networks and beyond von Gonon, Antoine, Brisebarre, Nicolas, Gribonval, Rémi, Riccietti, Elisa

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Sparsity in neural networks can improve their privacy von Gonon, Antoine, Zheng, Léon, Lalanne, Clément, Quoc-Tung Le, Lauga, Guillaume, Pouliquen, Can

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Sparsity in neural networks can increase their privacy von Gonon, Antoine, Zheng, Léon, Lalanne, Clément, Quoc-Tung Le, Lauga, Guillaume, Pouliquen, Can

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Compressive Learning for Semi-Parametric Models von Sheehan, Michael P, Gonon, Antoine, Davies, Mike E

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SAFETY RAZOR von GONON, ANTOINE

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SAFETY RAZOR von GONON, ANTOINE

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