Sathya Ravi



Hi! I am a PhD student in the Department of Computer Sciences, UW Madison. My adviser is Prof. Vikas Singh.


My research interests lie in the intersection of Machine Learning, Computer Vision and Convex Optimization. I am also interested in their applications in neuroimaging analysis.

If you are interested in getting in touch with me, feel free to send an email to . [Google Scholar] , [Github] , [blog] , [old blog] .

Recent news (from new to old):
  • Our paper on "Filter Flow made Practical: Massively Parallel and Lock-Free" got accepted in CVPR 2017 conference. [pdf] , [code] .
  • Our paper on "On the interplay of network structure and gradient convergence in deep learning" got accepted in Allerton 2016 conference. [pdf] , [webpage] .
  • Our paper on "Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease" got accepted in NIPS 2016 conference. [pdf] , [code] , [slides] .
  • I got accepted with full scholarship to attend the summer school on The Mathematics of Data (2016) organized by the Institute for Advanced Studies (IAS) in Park City, Utah.
  • Our paper on "Experimental Design on a Budget for Sparse Linear Models and Applications" got accepted in ICML 2016 conference. [pdf] , [code] , [slides] .
  • Our paper on "Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks" got accepted in CVPR 2016 conference. [pdf] , [webpage] .
  • Our paper on "A Projection free method for Generalized Eigenvalue Problem with a nonsmooth Regularizer" got accepted in ICCV 2015 conference.
    [pdf] , [code] .
  • Our paper on "On Statistical Analysis of Neuroimages with Imperfect Registration" got accepted in ICCV 2015 conference. [pdf] , [webpage] .
  • Our paper on "An NMF perspective on Binary Hashing" got accepted in ICCV 2015 conference. [pdf]
  • I attended the summer school on Polyhedral Combinatorics (POCO 2015) at CMU with full scholarship.