Lorenzo Luzi - RankMe

23 papers A* 2A 1Misc 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Framework for Supporting Decentralised Applications Analysis. BlockTEA Flavio Corradini, Lorenzo Luzi, Fausto Marcantoni, Alessandro Marcelletti, Andrea Morichetta, Barbara Re
2025	J	`jnl`	GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures. CoRR Jake R. Patock, Nicole Catherine Lewis, Kevin McCoy, Christina Gomez, Canling Chen, Lorenzo Luzi
2025	J	`jnl`	Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education. CoRR Naiming Liu, Brittany C. Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard G. Baraniuk
2024	J	`jnl`	Boomerang: Local sampling on image manifolds using diffusion models. Trans. Mach. Learn. Res. Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk
2024	J	`jnl`	Removing Bias from Maximum Likelihood Estimation with Model Autophagy. CoRR Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk
2024	A*	`conf`	Self-Consuming Generative Models Go MAD. ICLR Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2024	Misc	`conf`	Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2024	J	`jnl`	Using Skew to Assess the Quality of GAN-generated Image Features. Trans. Mach. Learn. Res. Lorenzo Luzi, Helen Jenne, Carlos Ortiz Marrero, Ryan Murray
2023	A	`conf`	Evaluating generative networks using Gaussian mixtures of image features. WACV Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry
2023	J	`jnl`	Self-Consuming Generative Models Go MAD. CoRR Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
2023	J	`jnl`	Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. CoRR Lorenzo Luzi, Helen Jenne, Ryan Murray, Carlos Ortiz Marrero
2022	J	`jnl`	Boomerang: Local sampling on image manifolds using diffusion models. CoRR Lorenzo Luzi, Ali Siahkoohi, Paul M. Mayer, Josue Casco-Rodriguez, Richard G. Baraniuk
2022	Misc	`conf`	NFT-K: Non-Fungible Tangent Kernels. ICASSP Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2022	J	`jnl`	Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. CoRR Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
2021	J	`jnl`	Double Descent and Other Interpolation Phenomena in GANs. CoRR Lorenzo Luzi, Yehuda Dar, Richard G. Baraniuk
2021	J	`jnl`	Evaluating generative networks using Gaussian mixtures of image features. CoRR Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry
2021	J	`jnl`	NFT-K: Non-Fungible Tangent Kernels. CoRR Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2021	Misc	`conf`	Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk
2020	J	`jnl`	Ensembles of Generative Adversarial Networks for Disconnected Data. CoRR Lorenzo Luzi, Randall Balestriero, Richard G. Baraniuk
2020	A*	`conf`	Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. ICML Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk
2020	J	`jnl`	Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. CoRR Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk
2020	J	`jnl`	Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk
2015	—	`conf`	Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation. ICPHM Surajit Roy, Gerges Dib, Pradeep Ramuhalli, Evelyn H. Hirt, Matthew S. Prowant, Lorenzo Luzi, Allan F. Pardini, Stan G. Pitman