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ORCIDLorenzo Luzi
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2020 – today
- 2024
[j2]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)- [j1]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) - [c7]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: 6165-6169 - [c6]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 - [i11]Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk:
Removing Bias from Maximum Likelihood Estimation with Model Autophagy. CoRR abs/2405.13977 (2024) - 2023
- [c5]Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry:
Evaluating generative networks using Gaussian mixtures of image features. WACV 2023: 279-288 - [i10]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 abs/2307.01850 (2023) - [i9]Lorenzo Luzi, Helen Jenne, Ryan Murray, Carlos Ortiz Marrero:
Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. CoRR abs/2310.20636 (2023) - 2022
- [c4]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. ICASSP 2022: 3798-3802 - [i8]Lorenzo Luzi, Ali Siahkoohi, Paul M. Mayer, Josue Casco-Rodriguez, Richard G. Baraniuk:
Boomerang: Local sampling on image manifolds using diffusion models. CoRR abs/2210.12100 (2022) - [i7]Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk:
Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. CoRR abs/2211.11074 (2022) - 2021
- [c3]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: 2950-2954 - [i6]Lorenzo Luzi, Yehuda Dar, Richard G. Baraniuk:
Double Descent and Other Interpolation Phenomena in GANs. CoRR abs/2106.04003 (2021) - [i5]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. CoRR abs/2110.04945 (2021) - [i4]Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry:
Evaluating generative networks using Gaussian mixtures of image features. CoRR abs/2110.05240 (2021) - 2020
- [c2]Yehuda Dar, Paul M. 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: 2366-2375 - [i3]Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk:
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. CoRR abs/2002.10614 (2020) - [i2]Lorenzo Luzi, Randall Balestriero, Richard G. Baraniuk:
Ensembles of Generative Adversarial Networks for Disconnected Data. CoRR abs/2006.14600 (2020) - [i1]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 abs/2010.13975 (2020)
2010 – 2019
- 2015
- [c1]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: 1-8
Coauthor Index
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