Lorenzo Luzi

According to our database, Lorenzo Luzi authored at least 18 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach.

Gabriel Díaz-Ramos, Lorenzo Luzi, Debshila Basu Mallick, Richard G. Baraniuk

CoRR, April, 2026

2025

Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education.

Naiming Liu, Brittany C. Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard G. Baraniuk

CoRR, December, 2025

GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures.

Jake R. Patock, Nicole Catherine Lewis, Kevin McCoy, Christina Gomez, Canling Chen, Lorenzo Luzi

CoRR, July, 2025

A Framework for Supporting Decentralised Applications Analysis.

Flavio Corradini, Lorenzo Luzi, Fausto Marcantoni, Alessandro Marcelletti, Andrea Morichetta, Barbara Re

Proceedings of the Blockchain Technology and Emerging Applications, 2025

2024

Boomerang: Local sampling on image manifolds using diffusion models.

Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk

Trans. Mach. Learn. Res., 2024

Using Skew to Assess the Quality of GAN-generated Image Features.

Lorenzo Luzi, Helen Jenne, Carlos Ortiz Marrero, Ryan Murray

Trans. Mach. Learn. Res., 2024

Removing Bias from Maximum Likelihood Estimation with Model Autophagy.

Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk

CoRR, 2024

Self-Consuming Generative Models Go MAD.

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features.

Lorenzo Luzi, Helen Jenne, Ryan Murray, Carlos Ortiz Marrero

CoRR, 2023

Evaluating generative networks using Gaussian mixtures of image features.

Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar, Richard G. Baraniuk, Michael J. Henry

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks.

Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk

CoRR, 2022

NFT-K: Non-Fungible Tangent Kernels.

Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Double Descent and Other Interpolation Phenomena in GANs.

Lorenzo Luzi, Yehuda Dar, Richard G. Baraniuk

CoRR, 2021

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Ensembles of Generative Adversarial Networks for Disconnected Data.

Lorenzo Luzi, Randall Balestriero, Richard G. Baraniuk

CoRR, 2020

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors.

Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk

Proceedings of the 37th International Conference on Machine Learning, 2020

2015

Progress towards prognostic health management of passive components in advanced reactors - Model selection and evaluation.

Surajit Roy, Gerges Dib, Pradeep Ramuhalli, Evelyn H. Hirt, Matthew S. Prowant, Lorenzo Luzi, Allan F. Pardini, Stan G. Pitman

Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015