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.
LIONS @ NeurIPS 2022
12 papers from the LIONS group have been accepted to the 2022 edition of NeurIPS conference. Congratulations to all! This year NeurIPS conference and workshops will be held in New Orleans, USA from 28th November to 3rd December.
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.
from 8:30 – 16:00