Research

Publications

• M. Mousavi, E. Lybrand, S. Feng, S. Tang, R. Saab, and V. de Sa. “Spectrally Adaptive Common Spatial Patterns”. Preprint. arXiv

• E. Lybrand and R. Saab. “A Greedy Algorithm for Quantizing Neural Networks.” JMLR 2021. arXiv Journal GitHub

• E. Lybrand, A. Ma, and R. Saab. “On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations.” ACHA, 2021. arXiv Journal

• M. Iwen, E. Lybrand, A. Nelson, R. Saab. “New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds.” SampTA2019. arXiv Proceedings

• E. Lybrand and R. Saab. “Quantization for Low-Rank Matrix Recovery.” Information and Inference, 2018. arXiv Journal

Selected Talks & Conference Presentations

• Ph.D. Defense: Quantization of Neural Networks, February 2021. Slides

• One-Bit Compressed Sensing on Manifolds, TRIPODS Summer Conference. May 2019. Slides

• Quantization and Low Rank Matrix Recovery, BIRS (Banff) Workshop on Information Theory and Signal Processing. October 2018. Slides

• Graduate Student Seminar, UCSD. “Deterministic Models for Topoisomerase II.” February 2017. Slides