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 (ICPHM, 2015)

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 (ICML, 2020)

Ensembles of Generative Adversarial Networks for Disconnected Data. - Lorenzo Luzi; Randall Balestriero; Richard G. Baraniuk (CoRR, 2020)

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 001; Richard G. Baraniuk (ICASSP, 2021)

Double Descent and Other Interpolation Phenomena in GANs. - Lorenzo Luzi; Yehuda Dar; Richard G. Baraniuk (CoRR, 2021)

NFT-K: Non-Fungible Tangent Kernels. - Sina Alemohammad; Hossein Babaei; C. J. Barberan; Naiming Liu; Lorenzo Luzi; Blake Mason; Richard G. Baraniuk (ICASSP, 2022)

Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. - Yehuda Dar; Lorenzo Luzi; Richard G. Baraniuk (CoRR, 2022)

Evaluating generative networks using Gaussian mixtures of image features. - Lorenzo Luzi; Carlos Ortiz Marrero; Nile Wynar; Richard G. Baraniuk; Michael J. Henry (WACV, 2023)

Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. - Lorenzo Luzi; Helen Jenne; Ryan Murray 001; Carlos Ortiz Marrero (CoRR, 2023)

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 001; Richard G. Baraniuk (ICASSP, 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 (ICLR, 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)

Using Skew to Assess the Quality of GAN-generated Image Features. - Lorenzo Luzi; Helen Jenne; Carlos Ortiz Marrero; Ryan Murray 001 (Trans. Mach. Learn. Res., 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)

GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures. - Jake R. Patock; Nicole Catherine Lewis; Kevin McCoy 002; Christina Gomez; Canling Chen; Lorenzo Luzi (CoRR, 2025)