Vishnu Lokhande

Hi! I'm a graduate student from the Computer Sciences department at the University of Wisconsin-Madison. My interests revolve around Machine Learning and it's application to Computer Vision. I'm being advised by Prof. Vikas Singh .

I did my bachelors in the Electrical Engineering from IIT Kanpur . During my undergrad, I was advised by Prof. Laxmidhar Behera for my senior year thesis.

CV (April'19)  /  LinkedIn  /  Github /  Twitter


  • [Feb 2019] Passed PhD Qualifying Exam in Machine Learning with a High Pass (P+) grade.
  • [Dec 2018] Our paper "Explicitly Imposing Constraints in Deep Networks Via Conditional Gradients Gives Improved Generalization and Faster Convergence" received Oral Acceptance at AAAI 2019.
  • [Oct 2018] Student Volunteer at NeurIPS 2018.
  • [Jul 2018] Attending summer school on Fundametals of Data Analysis.
  • [Jun 2018] Our paper on "Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision" got accepted as a spotlight presentation in MMLS 2018.
  • [Jun 2018] Organizing reading group on Deep learning Theory and Practice for the summers.


Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande,
Vikas Singh,
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) (Oral Presentation)
Code / Poster

A conditional gradient based optimization scheme with a facility to enforce L1/L2 norm constraints.

Motor imagery EEG signal classification on DWT and crosscorrelated signal features
Nischal K. Verma, L.S.Vishnu Sai Rao,
Suresh K. Sharma
9th International Conference on Industrial and Information Systems (ICIIS), IEEE, 2014
Code / PPT

A comparitive study of different classification algorithms and feature extraction techniques for EEG dataset

Useful Links

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