Jayanth Koushik


I am a PhD student at Carnegie Mellon University studying neural computation and machine learning. I am advised by Mike Tarr and Aarti Singh.


Publications and Preprints

Hypothesis Transfer Learning via Transformation Functions
Simon S. Du, Jayanth Koushik, Aarti Singh, Barnabás Póczos
[arxiv]

Improving Stochastic Gradient Descent with Feedback
Jayanth Koushik*, Hiroaki Hayashi*
[arxiv] [code] [poster]

Deep Multimodal Fusion for Persuasiveness Prediction
Behnaz Nojavanasghari*, Deepak Gopinath*, Jayanth Koushik*, Tadas Baltrušaitis, Louis-Philippe Morency
ICMI 2016
[pdf]

* Equal contribution


Projects

  • neural-style: Theano/Keras implementation of style transfer algorithms [project] [code]
  • Understanding Convolutional Neural Networks [arxiv]

Tutorials

  • Multiple Perspectives on Linear Regression [pdf]
  • Deriving the Backpropagation Equations [pdf]

Miscellaneous