Lorenzo Luzi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Maximum Likelihood Estimation

Diffusion Models

Indirect Effects

Gaussian Mixture

Top Venues

Trans. Mach. Learn. Res.

Publications

Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk
Removing Bias from Maximum Likelihood Estimation with Model Autophagy. CoRR (2024)
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP (2024)
Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk
Boomerang: Local sampling on image manifolds using diffusion models. Trans. Mach. Learn. Res. 2024 (2024)
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
Self-Consuming Generative Models Go MAD. ICLR (2024)
Lorenzo Luzi, Helen Jenne, Carlos Ortiz Marrero, Ryan Murray
Using Skew to Assess the Quality of GAN-generated Image Features. Trans. Mach. Learn. Res. 2024 (2024)
Lorenzo Luzi, Helen Jenne, Ryan Murray, Carlos Ortiz Marrero
Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. CoRR (2023)
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk
Self-Consuming Generative Models Go MAD. CoRR (2023)
Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry
Evaluating generative networks using Gaussian mixtures of image features. WACV (2023)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. ICASSP (2022)
Lorenzo Luzi, Ali Siahkoohi, Paul M. Mayer, Josue Casco-Rodriguez, Richard G. Baraniuk
Boomerang: Local sampling on image manifolds using diffusion models. CoRR (2022)
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. CoRR (2022)
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
Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP (2021)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. CoRR (2021)
Lorenzo Luzi, Yehuda Dar, Richard G. Baraniuk
Double Descent and Other Interpolation Phenomena in GANs. CoRR (2021)
Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry
Evaluating generative networks using Gaussian mixtures of image features. CoRR (2021)
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
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR (2020)
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. CoRR (2020)
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. ICML (2020)
Lorenzo Luzi, Randall Balestriero, Richard G. Baraniuk
Ensembles of Generative Adversarial Networks for Disconnected Data. CoRR (2020)
Surajit Roy, Gerges Dib, Pradeep Ramuhalli, Evelyn H. Hirt, Matthew S. Prowant, Lorenzo Luzi, Allan F. Pardini, Stan G. Pitman
Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation. ICPHM (2015)