Laboratory for Information and Inference Systems – LIONS
We divide our research into two synergistic theory thrusts: information scalable optimization and data acquisition, and learning theory and methods for low-dimensional signal models. These research directions dovetail in order to develop a unified theory and practical toolset for adaptive representations, sampling and computational methods for high-dimensional data that feature structured geometric and combinatorial foundations.
PhD Defense of Thomas Sanchez
On 12th April 2022, Thomas Sanchez, a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Learning to sample in Cartesian MRI" was supervised by Prof. Volkan Cevher.
NSF career award for a former LIONS – Anastasios (Tasos) Kyrillidis
A former LIONS PhD student, Anastasios (Tasos) Kyrillidis, who in 2018 landed a faculty position at Rice University (Department of Computer Science) has received a prestigious National Science Foundation (NSF) CAREER Award for his research proposal titled “Algorithmic foundations for practical acceleration in computational sciences.
LIONS @ ICLR and AISTATS 2022
The following LIONS papers have been accepted to ICLR 2022 (10th International Conference on Learning Representations) and AISTATS 2022 (25th International Conference on Artificial Intelligence and Statistics). Both conferences will be held virtually. AISTATS: March 28-30, 2022 ICLR: April 25-29, 2022
from 8:30 – 16:00