| A sub-sampled approach to extremely low-dose STEM A Stevens, L Luzi, H Yang, L Kovarik, BL Mehdi, A Liyu, ME Gehm, ... Applied Physics Letters 112 (4), 043104, 2018 | 81 | 2018 |
| Controlling the spatio-temporal dose distribution during STEM imaging by subsampled acquisition: In-situ observations of kinetic processes in liquids BL Mehdi, A Stevens, L Kovarik, N Jiang, H Mehta, A Liyu, S Reehl, ... Applied Physics Letters 115 (6), 063102, 2019 | 27 | 2019 |
| Acoustic firearm discharge detection and classification in an enclosed environment L Luzi, E Gonzalez, P Bruillard, M Prowant, J Skorpik, M Hughes, S Child, ... The Journal of the Acoustical Society of America 139 (5), 2723-2731, 2016 | 11 | 2016 |
| Subspace fitting meets regression: The effects of supervision and orthonormality constraints on double descent of generalization errors Y Dar, P Mayer, L Luzi, R Baraniuk International Conference on Machine Learning, 2366-2375, 2020 | 6 | 2020 |
| Wearing a mask: Compressed representations of variable-length sequences using recurrent neural tangent kernels S Alemohammad, H Babaei, R Balestriero, MY Cheung, AI Humayun, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| EMAT for Rapid Screening of Waste Storage Tanks MS Good, SW Glass, L Luzi, AF Pardini, MR Larche, BJ Vazquez, ... ASNT Annual Conference 2015, 57-61, 2015 | 3 | 2015 |
| Inspection of Hanford’s Double-Shell Waste Tanks Using Electromagnetic Acoustic Transducers MR Larche, L Luzi, AF Pardini, BJ Vazquez, JR Gunter, KD Boomer ASNT 24th Research Symposium 2015, 59-63, 2015 | 3 | 2015 |
| Resolution versus error for computational electron microscopy L Luzi, A Stevens, H Yang, ND Browning Microscopy and Microanalysis 23 (S1), 88-89, 2017 | 2 | 2017 |
| Evaluating generative networks using Gaussian mixtures of image features L Luzi, CO Marrero, N Wynar, RG Baraniuk, MJ Henry Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 1 | 2023 |
| Double descent and other interpolation phenomena in GANs L Luzi, Y Dar, R Baraniuk arXiv preprint arXiv:2106.04003, 2021 | 1 | 2021 |
| Ensembles of Generative Adversarial Networks for Disconnected Data L Luzi, R Balestriero, RG Baraniuk arXiv preprint arXiv:2006.14600, 2020 | 1 | 2020 |
| Nondestructive Measurements for Diagnostics of Advanced Reactor Passive Components MS Prowant, G Dib, S Roy, L Luzi, P Ramuhalli Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2016 | 1 | 2016 |
| Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks Y Dar, L Luzi, RG Baraniuk arXiv preprint arXiv:2211.11074, 2022 | | 2022 |
| TITAN: Bringing The Deep Image Prior to Implicit Representations D LeJeune, L Luzi, A Siahkoohi, S Alemohammad, V Saragadam, ... arXiv preprint arXiv:2211.00219, 2022 | | 2022 |
| Boomerang: Local sampling on image manifolds using diffusion models L Luzi, A Siahkoohi, PM Mayer, J Casco-Rodriguez, R Baraniuk arXiv preprint arXiv:2210.12100, 2022 | | 2022 |
| NFT-K: Non-Fungible Tangent Kernels S Alemohammad, H Babaei, CJ Barberan, N Liu, L Luzi, B Mason, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
| Memorization in Generative Networks and Mixtures of GANs L Luzi Rice University, 2020 | | 2020 |
| Inspection Technology Advancements for Hanford Double Shell Tank Integrity Verification–16150 SW Glass, MR Larche, L Luzi, MS Good, KK Anderson, DA Vasquez, ... WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (United States), 2016 | | 2016 |
| Progress towards prognostic health management of passive components in advanced reactors—Model selection and evaluation S Roy, G Dib, P Ramuhalli, EH Hirt, MS Prowant, L Luzi, AF Pardini, ... 2015 IEEE Conference on Prognostics and Health Management (PHM), 1-8, 2015 | | 2015 |
| Supplementary Material: Evaluating generative networks using Gaussian mixtures of image features L Luzi, CO Marrero, N Wynar, RG Baraniuk, MJ Henry | | |
