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Ph.D. Student, Machine Learning Department, Carnegie Mellon University

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Research

Deep Component Analysis via Alternating Direction Neural Networks

March 19th, 2018

Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning

October 26th, 2017

Additive Component Analysis

July 22nd, 2017

Blockout: Dynamic Model Selection for Hierarchical Deep Networks

June 28th, 2016

More Research...

News

New paper posted to arXiv!

March 20th, 2018

Presenting "Approximate Grassmannian Intersections" at ICCV 2017!

October 26th, 2017

Presenting "Additive Component Analysis" at CVPR 2017!

July 22nd, 2017

One paper accepted to ICCV 2017!

July 16th, 2017

Speaking at a CMU ML Lunch Seminar.

April 17th, 2017

One paper accepted to CVPR 2017!

February 27th, 2017

Presenting "Blockout" at CVPR 2016!

June 28th, 2016

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