Alexandros G. Dimakis
Professor
Research
Research Areas:
Research Interests:
- Information theory
- Coding theory
- Machine Learning
Current Research:
Generative models and deep learning.
Research Labs & Affiliations:
Wireless Networking and Communications Group (WNCG)
Machine Learning Lab (MLL)
Institue for Foundations of Machine Learning (IFML)
Select Publications
Matt Jordan, Justin Lewis, Alexandros G Dimakis. March 20, 2019. Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes.
Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G Dimakis. February 21, 2019. Quantifying Perceptual Distortion of Adversarial Examples.
Ethan R Elenberg, Rajiv Khanna, Alexandros G Dimakis, Sahand Negahban. December 2, 2018. Restricted strong convexity implies weak submodularity. Institute of Mathematical Statistics.
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G Dimakis, Inderjit S Dhillon, Michael Witbrock. December 1, 2018. Discrete Attacks and Submodular Optimization with Applications to Text Classification.
Sungsoo Kim, Jin Soo Park, Christos G Bampis, Jaeseong Lee, Mia K Markey, Alexandros G Dimakis, Alan C Bovik. November 26, 2018. Adversarial Video Compression Guided by Soft Edge Detection.
Awards & Honors
2014 -
Army Research Office (ARO) Young Investigator Award
2012 -
Best Paper, Joint Information Theory and Communications Society
2012 -
Google Faculty Research Award
2011 -
NSF Career Award
2010 -
Best Paper, ComSoc Data Storage Committee
2008 -
Eli Jury Dissertation Award