Publications

1. Jake R. Patock, Nicole C. Lewis, Kevin McCoy, Christina Gomez, Canling Chen, and Lorenzo Luzi. GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures. arXiv preprint arXiv:2507.18009, 2025.

2. Lorenzo Luzi, Helen Jenne, Carlos O. Marrero, and Ryan Murray. Using Skew to Assess the Quality of GAN-generated Image Features. Transactions on Machine Learning Research, 2024.

3. Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, and Richard G. Baraniuk. Titan: Bringing the Deep Image Prior to Implicit Representations. In the proceedings of ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

4. Paul Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, and Richard G. Baraniuk. Removing Bias from Maximum Likelihood Estimation with Model Autophagy. arXiv preprint arXiv:2405.13977v1, 2024.

5. Paul Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, and Richard G. Baraniuk. Improving Fairness and Mitigating MADness in Generative Models. arXiv preprint arXiv:2405.13977, 2024.

6. Lorenzo Luzi, Helen Jenne, Ryan Murray, and Carlos O. Marrero. Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. arXiv preprint arXiv:2310.20636, 2023.

7. Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed I. Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, and Richard Baraniuk. Self-Consuming Generative Models Go MAD. In the proceedings of The Twelfth International Conference on Learning Representations, 2023.

8. Lorenzo Luzi, Carlos O. Marrero, Nile Wynar, Richard G. Baraniuk, and Michael J. Henry. Evaluating generative networks using Gaussian mixtures of image features. In the proceedings of Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023.

9. Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, and Richard Baraniuk. Boomerang: Local sampling on image manifolds using diffusion models. Transactions on Machine Learning Research, 2023.

10. Sina Alemohammad, Hossein Babaei, CJ Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, and Richard G. Baraniuk. NFT-K: Non-Fungible Tangent Kernels. In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

11. Yehuda Dar, Lorenzo Luzi, and Richard G. Baraniuk. Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. arXiv preprint arXiv:2211.11074, 2022.

12. Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed I. Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, and Richard G. Baraniuk. Wearing a mask: Compressed representations of variable-length sequences using recurrent neural tangent kernels. In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

13. Lorenzo Luzi, Carlos O. Marrero, Nile Wynar, Richard G. Baraniuk, and Michael J. Henry. Evaluating generative networks using Gaussian mixtures of image features. arXiv preprint arXiv:2110.05240, 2021.

14. Lorenzo Luzi, Yehuda Dar, and Richard G. Baraniuk. Double descent and other interpolation phenomena in GANs. arXiv preprint arXiv:2106.04003, 2021.

15. Yehuda Dar, Paul Mayer, Lorenzo Luzi, and Richard G. Baraniuk. Subspace fitting meets regression: The effects of supervision and orthonormality constraints on double descent of generalization errors. In the proceedings of The International Conference on Machine Learning, 2020.

16. Lorenzo Luzi, Randall Balestriero, and Richard G. Baraniuk. Ensembles of Generative Adversarial Networks for Disconnected Data. arXiv preprint arXiv:2006.14600, 2020.

17. B. L. Mehdi, Andrew Stevens, Libor Kovarik, Nan Jiang, Hardeep Mehta, Andrey Liyu, Sarah Reehl, Bryan Stanfill, Lorenzo Luzi, Weituo Hao, Lisa M. Bramer, and Nigel D. Browning. Controlling the spatio-temporal dose distribution during STEM imaging by subsampled acquisition: In-situ observations of kinetic processes in liquids. Applied Physics Letters, 2019.

18. Andrew Stevens, Lorenzo Luzi, Hao Yang, Libor Kovarik, B. L. Mehdi, Andrey Liyu, Michael E. Gehm, and Nigel D. Browning. A sub-sampled approach to extremely low-dose STEM. Applied Physics Letters, 2018.

19. Lorenzo Luzi, Andrew Stevens, Hao Yang, and Nigel D. Browning. Resolution versus error for computational electron microscopy. Microscopy and Microanalysis, 2017.

20. Matthew S. Prowant, Gerges Dib, Surajit Roy, Lorenzo Luzi, and Pradeep Ramuhalli. Nondestructive Measurements for Diagnostics of Advanced Reactor Passive Components. Technical report at Pacific Northwest National Laboratory, 2016.

21. Samuel W. Glass, Michael R. Larche, Lorenzo Luzi, Morris S. Good, Kevin K. Anderson, DA Vasquez, Kayle D. Boomer, and Jim L. Castleberry. Inspection Technology Advancements for Hanford Double Shell Tank Integrity Verification--16150. In the proceedings of The Annual Waste Management Symposium, 2016.

22. Lorenzo Luzi, Eric Gonzalez, Paul Bruillard, Matthew Prowant, James Skorpik, Michael Hughes, Scott Child, Duane Kist, and John E. McCarthy. Acoustic firearm discharge detection and classification in an enclosed environment. The Journal of the Acoustical Society of America, 2016.

23. Surajit Roy, Gerges Dib, Pradeep Ramuhalli, Evelyn H. Hirt, Matthew S. Prowant, Lorenzo Luzi, Allan F. Pardini, and Stan G. Pitman. Progress towards prognostic health management of passive components in advanced reactors—Model selection and evaluation. In the proceedings of IEEE Conference on Prognostics and Health Management (PHM), 2015.

24. Michael R. Larche, Lorenzo Luzi, Allen F. Pardini, Brandon J. Vazquez, Jason R. Gunter, and Kayle D. Boomer. Inspection of Hanford’s Double-Shell Waste Tanks Using Electromagnetic Acoustic Transducers. In the proceedings of The American Society For Nondestructive Testing 24th Research Symposium, 2015.

25. Morris S. Good, Samuel W. Glass, Lorenzo Luzi, Allen F. Pardini, Michael R. Larche, Brandon J. Vazquez, Jason R. Gunter, and Kayle D. Boomer. EMAT for Rapid Screening of Waste Storage Tanks. In the proceedings of The American Society For Nondestructive Testing Annual Conference, 2015.