Awake prone positioning for patients with COVID-19-related respiratory failure: a systematic review and meta-analysis von Graziani, Mara, Rigutini, Andrea Galeazzo, Bartolini, Diletta, Traballi, Laura, Luzi, Lorenzo, Regina, Rossana, Bossi, Francesco, Caponi, Carla, Becattini, Cecilia

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Safety and effectiveness of oral anticoagulants in patients with atrial fibrillation and stage 4 chronic kidney disease: a real-world experience von Talerico, Rosa, Brando, Elisa, Luzi, Lorenzo, Vedovati, Maria Cristina, Giustozzi, Michela, Verso, Melina, Di Gennaro, Leonardo, Basso, Maria, Ferretti, Antonietta, Porfidia, Angelo, De Candia, Erica, Pola, Roberto, Agnelli, Giancarlo, Becattini, Cecilia

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Resolution Versus Error for Computational Electron Microscopy von Luzi, Lorenzo, Stevens, Andrew, Yang, Hao, Browning, Nigel D.

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Acoustic firearm discharge detection and classification in an enclosed environment von Luzi, Lorenzo, Gonzalez, Eric, Bruillard, Paul, Prowant, Matthew, Skorpik, James, Hughes, Michael, Child, Scott, Kist, Duane, McCarthy, John E.

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Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks von Dar, Yehuda, Luzi, Lorenzo, Baraniuk, Richard G

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Using Skew to Assess the Quality of GAN-generated Image Features von Luzi, Lorenzo, Jenne, Helen, Murray, Ryan, Marrero, Carlos Ortiz

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Double Descent and Other Interpolation Phenomena in GANs von Luzi, Lorenzo, Dar, Yehuda, Baraniuk, Richard

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Improving Fairness and Mitigating MADness in Generative Models von Mayer, Paul, Luzi, Lorenzo, Siahkoohi, Ali, Johnson, Don H, Baraniuk, Richard G

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Ensembles of Generative Adversarial Networks for Disconnected Data von Luzi, Lorenzo, Balestriero, Randall, Baraniuk, Richard G

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Double Descent and Other Interpolation Phenomena in GANs von Luzi, Lorenzo, Dar, Yehuda, Baraniuk, Richard

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Boomerang: Local sampling on image manifolds using diffusion models von Luzi, Lorenzo, Mayer, Paul M, Casco-Rodriguez, Josue, Siahkoohi, Ali, Baraniuk, Richard G

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Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks von Dar, Yehuda, Luzi, Lorenzo, Baraniuk, Richard G

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Self-Consuming Generative Models Go MAD von Alemohammad, Sina, Casco-Rodriguez, Josue, Luzi, Lorenzo, Humayun, Ahmed Imtiaz, Babaei, Hossein, LeJeune, Daniel, Siahkoohi, Ali, Baraniuk, Richard G

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Using Skew to Assess the Quality of GAN-generated Image Features von Luzi, Lorenzo, Jenne, Helen, Murray, Ryan, Carlos Ortiz Marrero

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TITAN: Bringing The Deep Image Prior to Implicit Representations von Luzi, Lorenzo, LeJeune, Daniel, Siahkoohi, Ali, Alemohammad, Sina, Saragadam, Vishwanath, Babaei, Hossein, Liu, Naiming, Wang, Zichao, Baraniuk, Richard G

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Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors von Dar, Yehuda, Mayer, Paul, Luzi, Lorenzo, Baraniuk, Richard G

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Evaluating generative networks using Gaussian mixtures of image features von Luzi, Lorenzo, Marrero, Carlos Ortiz, Wynar, Nile, Baraniuk, Richard G, Henry, Michael J

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NFT-K: Non-Fungible Tangent Kernels von Alemohammad, Sina, Babaei, Hossein, Barberan, CJ, Liu, Naiming, Luzi, Lorenzo, Mason, Blake, Baraniuk, Richard G

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Improving Fairness and Mitigating MADness in Generative Models von Mayer, Paul, Luzi, Lorenzo, Siahkoohi, Ali, Johnson, Don H, Baraniuk, Richard G

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Boomerang: Local sampling on image manifolds using diffusion models von Luzi, Lorenzo, Mayer, Paul M, Casco-Rodriguez, Josue, Siahkoohi, Ali, Baraniuk, Richard G

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